Applied AI Researcher, System Discovery at Distyl

Join Our Team at Distyl AIDistyl AI is at the forefront of developing advanced, production-grade AI systems that enhance operational workflows for Fortune 500 companies. Through our strategic alliance with OpenAI, proprietary software accelerators, and extensive enterprise AI expertise, we deliver effective AI solutions with rapid results, often in a matter …

About Distyl AIDistyl AI specializes in creating high-performance AI systems that enhance the fundamental operational processes of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and extensive expertise in enterprise AI, we deliver effective AI solutions with swift time-to-value, often within a quarter.Our innovations have empowered Fortune 500 clients in various sectors, including insurance, consumer packaged goods, and non-profit organizations. Joining our team means you will assist organizations in recognizing, developing, and extracting value from their Generative AI investments, frequently for the first time. We prioritize customer needs, working backward from the client's challenges and ensuring we generate financial benefits while enhancing the experiences of end-users.Distyl is guided by seasoned leaders from top-tier companies like Palantir and Apple and enjoys backing from prominent investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 firms.What We Are Looking ForAt Distyl, we are at the forefront of leveraging AI within enterprises. We seek imaginative researchers who aspire to go beyond incremental enhancements on benchmarks and are eager to redefine the application of software in innovative ways.Our researchers hail from diverse academic disciplines but possess a robust research background, operate in an AI-centric manner, and would find conventional research environments unfulfilling.Key ResponsibilitiesThe AI Systems team is dedicated to architecting complex, comprehensive solutions that integrate perception, reasoning, planning, and execution. Researchers amalgamate various components (LLMs, retrievers, evaluators, memory systems, and execution agents) into resilient, scalable systems that deliver consistent performance across dynamic enterprise workflows.Researchers in AI Systems examine the principles governing intricate system interactions. They analyze coordination, information flow, and emergent behavior across multiple agents and models. Their research reveals the foundational mechanics of robustness, composability, and alignment, ultimately establishing the design paradigm for constructing intelligent systems.

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.

About Distyl AIDistyl AI specializes in crafting production-grade AI systems that enhance the core operational workflows of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and profound enterprise AI knowledge, we deliver efficient AI solutions that ensure rapid value realization—often within a quarter.Our innovative products have empowered Fortune 500 clients across various sectors, including insurance, consumer packaged goods (CPG), and non-profit organizations. Joining our team means you will play a vital role in helping businesses identify, develop, and extract value from their investments in Generative AI for the first time. We prioritize a customer-centric approach, starting from the customer's challenges and holding ourselves accountable for delivering financial impact while enhancing the lives of end-users.Distyl is spearheaded by seasoned leaders from prestigious firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 companies.What We Are SeekingAt Distyl, we are redefining the application of AI within enterprises. We need innovative researchers who aspire to go beyond mere incremental enhancements on benchmarks or optimizing existing processes; we seek individuals eager to creatively transform how software is utilized.Our research team is composed of individuals from diverse academic disciplines, all with impressive research backgrounds. They thrive in an AI-native environment and would find traditional research organizations unchallenging.Key ResponsibilitiesThe System Self-Improvement team develops architectures that continually assess and enhance their own performance. Researchers are tasked with designing feedback-driven systems that can identify weaknesses, formulate corrective hypotheses, and autonomously implement improvements through self-reflection, retraining, or workflow adjustments. The ultimate aim is to create AI systems that compound in capability as they are used.Researchers in the Self-Improvement domain investigate how systems can construct self-models—gaining insight into when, why, and how they succeed or fail. They delve into reflective reasoning, reward modeling, and self-evaluation strategies to facilitate autonomous evolution. This research area merges reinforcement learning, interpretability, and meta-optimization to innovate continuously learning enterprise systems.

Join Distyl AI as an Applied AI Researcher in System Self-ConstructionDistyl AI is at the forefront of developing high-performance AI systems tailored for the operational needs of Fortune 500 companies. With the backing of OpenAI and a wealth of enterprise AI knowledge, we are committed to delivering AI solutions that generate tangible results in record time.Our innovative products have empowered various Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profits. By joining our dynamic team, you will play a vital role in helping organizations harness the full potential of their Generative AI investments, often for the first time. We prioritize a customer-first approach, focusing on problem-solving and ensuring we contribute positively to both financial outcomes and user experiences.Led by industry veterans from renowned companies such as Palantir and Apple, and supported by esteemed investors like Lightspeed and Khosla, Distyl AI is positioned for substantial growth and impact.

About Distyl AIDistyl AI is at the forefront of developing production-grade AI systems that enhance core operational workflows for Fortune 500 companies. Our innovative solutions, powered by a strategic alliance with OpenAI and bolstered by in-house software accelerators, deliver AI systems with rapid time-to-value, often within just a quarter.Our cutting-edge products have successfully transformed the operations of Fortune 500 clients across a multitude of sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will be instrumental in assisting companies to identify, construct, and unlock the potential of their GenAI investments, frequently for the first time. We pride ourselves on being customer-centric, addressing client challenges directly, and holding ourselves accountable for generating financial impact while enhancing the experiences of end-users.Led by distinguished leaders from prestigious organizations such as Palantir and Apple, Distyl is also supported by renowned investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), and Brad Gerstner (Founder and CEO of Altimeter), alongside board members from over a dozen Fortune 500 companies.

Join Distyl AI as an AI EngineerAt Distyl, we are at the forefront of applied AI technology, collaborating with some of the world’s most ambitious organizations to fundamentally reshape essential operations for the evolving landscape of AI. Our clientele includes industry leaders from sectors such as telecommunications, healthcare, insurance, manufacturing, consumer goods, and global social enterprises.We focus on researching and implementing cutting-edge technologies that enable AI-native operations for both our partners and Distyl itself. Our initiatives include exploring self-constructing systems, perfecting reliable AI system executions, and developing products that revolutionize vital workflows. The impact of Distyl's innovations can be seen in numerous large-scale operations, influencing hundreds of millions of consumer interactions, tens of millions of supply chain transactions, and millions of patient journeys.Supported by prominent investors such as Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and board members from over 20 Fortune 500 companies, we take pride in our impressive track record: a 100% success rate in production deployments and being among the few profitable enterprise AI firms.What We SeekWe are looking for AI Engineers who can build and manage AI systems that deliver tangible business benefits within client environments. Ideal candidates will excel in ambiguous problem-solving, take initiative, and be eager to engage with production AI systems that require consistent performance under real-world constraints.AI Engineers at Distyl are hands-on innovators, responsible for designing, deploying, and refining end-to-end AI systems. They closely collaborate with clients to accurately capture requirements, translate them into actionable system designs, and continuously enhance system performance through evaluation, iteration, and integration. Their emphasis is on making AI systems operational rather than merely conducting isolated experiments.Core ResponsibilitiesTake ownership of the performance and behavior of AI systems deployed for clients.Design and execute composite AI workflows that integrate models, agents, retrieval, evaluation, and execution into cohesive, production-ready systems tailored to actual SME requirements.Manage live systems, assess performance, identify failure modes, and swiftly iterate to boost quality, reliability, and utility. This involves crafting prompts and agent logic, establishing evaluation frameworks, integrating feedback loops, and employing AI-driven tools for rapid debugging and experimentation.

About Distyl AIDistyl AI is at the forefront of developing cutting-edge, production-grade AI systems that empower core operational workflows for Fortune 500 companies. Our collaboration with OpenAI, combined with our proprietary software accelerators and extensive enterprise AI expertise, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products have made a significant impact across a range of industries, including insurance, consumer packaged goods, and non-profits. Joining our team means playing a pivotal role in helping businesses identify, develop, and extract tangible value from their Generative AI investments. We prioritize a customer-centric approach, focusing on understanding and solving customer challenges while ensuring we create both financial impact and enhanced user experiences.Led by industry veterans from renowned companies such as Palantir and Apple, and supported by investors including Lightspeed, Khosla, Coatue, and Dell Technologies Capital, Distyl has a strong foundation built on expertise and innovation.What We Are SeekingWe are looking for an AI Strategist who will take the lead on customer projects. Working alongside a technical lead, you will guide a dedicated team of engineers and researchers focused on addressing our clients' most pressing challenges. Your role involves owning the business outcomes, ensuring that the project team delivers value, and building trust with customers. You will manage the entire customer engagement process from inception to completion.Typically, you will start by thoroughly understanding customer issues and their desired outcomes. By immersing yourself in our clients' complex workflows, you will pinpoint opportunities where AI can alleviate pain points. After defining a meaningful project scope, you will lead your team to ensure we deliver a high-quality system with exceptional model accuracy. Your commitment to driving real value means your role extends beyond just system delivery—you will also be responsible for user adoption and continuous improvement to ensure the product remains valuable for end-users.This position demands a curious, analytical mindset with the ability to identify critical problems, strong intuition for product development, and a deep commitment to customer success.

About Distyl AIDistyl is a cutting-edge applied AI technology firm collaborating with some of the world’s most ambitious institutions to reshape their critical operations in the realm of AI. Our client portfolio includes leading companies across various sectors such as telecommunications, healthcare, insurance, manufacturing, consumer goods, and global social organizations.We engage in researching and implementing technologies that facilitate AI-native operations — for our partners and for Distyl itself. Our initiatives encompass the exploration of self-constructing systems, the creation of highly reliable AI system executions, and innovative products that enhance mission-critical workflows. Consequently, our technologies impact some of the world's largest operations, managing hundreds of millions of consumer interactions, tens of millions of supply chain transactions, and millions of patient journeys.Distyl is supported by prestigious investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and board members of over 20 Fortune 500 companies. This backing has contributed to our impressive results: a 100% success rate in production deployments for our clients and our status as one of the few profitable enterprise AI companies.What We Are Looking ForWe are seeking a Product Marketing Manager who will shape Distyl’s market presence by crafting compelling narratives, empowering our sales team, and developing foundational content that establishes Distyl as a frontrunner in enterprise AI for complex customer experiences.In this role, you will create tailored positioning and messaging for different verticals, develop sales enablement materials for Account Executives to utilize independently, and construct persuasive proof points such as case studies, ROI frameworks, and competitive positioning. You will collaborate closely with the founders and sales leadership to transform insights from customer interactions into scalable, repeatable resources that expedite deal cycles and enhance Distyl’s market visibility.This position operates at the crossroads of product, sales, and go-to-market strategy. You will work in tandem with Sales, Engineering, and Leadership to ensure that Distyl’s capabilities are effectively articulated to enterprise buyers, distinguishing us in a rapidly evolving AI landscape.This is a hands-on role for a proficient writer and operator who can produce polished content independently, rather than solely managing agencies or freelancers. You thrive in dynamic, early-stage environments, enjoy creating systems and narratives from the ground up, and are comfortable collaborating closely with sales teams instead of functioning within a siloed marketing role.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Join Distyl AI as a Forward Deployed AI EngineerDistyl AI specializes in creating robust AI systems designed to enhance the operational workflows of Fortune 500 companies. With the backing of OpenAI and a team of experts in enterprise AI, we provide solutions that deliver substantial value in a matter of months.Our innovative products serve a multitude of sectors, including insurance, consumer packaged goods, and non-profits. As a member of our team, you will play a critical role in helping organizations unlock the potential of their GenAI investments, often for the first time.Led by industry veterans from top-tier companies like Palantir and Apple, and supported by notable investors, Distyl is committed to customer success and measurable impact.

About UsAt Applied Compute, we are pioneering Specific Intelligence for enterprises through advanced AI agents that learn continuously from organizational processes, data, and objectives. We recognize the significant gap between what AI models can achieve in isolation and their performance within actual business contexts, often failing to adapt to feedback. Our mission is to build a continual learning layer that captures context, memory, and decision traces across enterprises, creating environments where specialized agents excel at real tasks.Why Join Us? We operate at a unique intersection of product development and research. Our product team is developing the platform that empowers a new generation of digital coworkers, while our research team is advancing post-training and reinforcement learning to enhance product experiences. As applied research engineers, we work closely with customers to deploy models into production effectively. This blend of robust product focus, deep research, and customer engagement is our strategy for successfully integrating AI into enterprise operations. We are product-led, research-enabled, and strategically deployed.Meet Our Team: Our team consists of engineers, researchers, and operators, many of whom are former founders. We have established RL infrastructure at OpenAI, developed data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are backed by esteemed investors such as Benchmark, Sequoia, and Lux.Who Excels Here: We seek individuals passionate about applying innovative research and complex systems to overcome real-world challenges. Candidates should thrive in unfamiliar environments, whether it involves navigating new codebases, understanding new customer data architectures, or tackling unfamiliar problem domains. A genuine enjoyment of customer interactions—listening, empathizing, and comprehending how work is accomplished within organizations—is essential. Those with prior entrepreneurial experience, extensive side projects, or a proven ability to manage initiatives from start to finish will thrive in our culture.Your RoleAs a Research Systems Engineer, you will be responsible for training cutting-edge models and developing methodologies that facilitate continual learning within enterprise settings. You will design and execute large-scale experiments, delve into advanced reinforcement learning techniques, and create tools that enhance our understanding of the training process. This role uniquely positions you at the crossroads of research and systems engineering, where you will innovate new algorithms in collaboration with researchers and work alongside infrastructure engineers to deploy them on GPUs.

About Chai DiscoveryAt Chai Discovery, we are pioneering advanced AI models that revolutionize molecular design and the drug discovery process. Our dedicated team is committed to reshaping the landscape of therapeutic development, with the ultimate goal of saving lives.Our founders consist of elite researchers and industry leaders who have made groundbreaking contributions to AI applications in biology. They have co-invented protein language modeling, developed cutting-edge folding algorithms, and created AI solutions adopted by top pharmaceutical firms. We are proud to be backed by prominent investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, and Amplify.About the RoleWe are looking for an AI Research Engineer to collaborate closely with our research scientists in designing, training, evaluating, and optimizing the core models and infrastructure at Chai. Our models are evolving from mere protein structure predictions into real-world therapeutic engineering applications. This is a unique opportunity to advance the field of AI-driven drug design while being part of a passionate team that balances cautious optimism with bold vision.Develop and enhance the infrastructure and tools that support our AI research initiatives.Work alongside AI researchers to explore, implement, and refine emerging research directions.Integrate AI models into production environments, ensuring they are scalable and reliable.About YouThe ideal candidate will have a background in high-performance computing, GPU programming, and AI/ML with large-scale data systems.A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.Proficiency in programming languages such as Python, along with deep learning frameworks like PyTorch.A solid understanding of operating system internals.Familiarity with HPC infrastructure, including Slurm and Kubernetes.Experience in performance engineering and profiling for both CPU and GPU workloads.Proven ability in developing, building, and maintaining extensive ETL pipelines.We OfferInnovative Technology: Engage with cutting-edge technologies that have the potential to redefine therapeutic creation.Exceptional Team: Collaborate with renowned experts at the intersection of AI and biology.

Join Distyl AI as a Forward Deployed AI ArchitectDistyl AI specializes in creating production-grade AI systems that streamline core operational workflows for Fortune 500 companies. Through our strategic alliance with OpenAI, cutting-edge software accelerators, and extensive enterprise AI knowledge, we deliver effective AI solutions with a rapid time-to-value—often within a quarter.We have empowered Fortune 500 clients from various sectors, including insurance, consumer packaged goods, and non-profits. When you join our team, you'll assist companies in recognizing, developing, and achieving value from their Generative AI investments, frequently for the first time. Our approach is customer-focused, ensuring we work backward from the customer's challenges while being accountable for generating financial impact and enhancing the experiences of end-users.Led by a team of accomplished leaders from prestigious companies like Palantir and Apple, Distyl is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), and Brad Gerstner (Founder and CEO of Altimeter), alongside board members from over a dozen Fortune 500 firms.Your RoleAs a Forward Deployed AI Architect, you will play a crucial role in constructing AI systems within the most intricate enterprise environments globally. This position demands professionals who can fully oversee how intelligent systems are designed, integrated, secured, and managed in production, while being actively involved in the technical processes.Key Attributes: Our ideal candidates are seasoned builders with the expertise to create and refine end-to-end AI systems across complex enterprise architectures. They serve as trusted technical partners to client engineering teams, security divisions, and operations, making informed architectural decisions that weigh capability against risk and operational practicality. Their authority is built on performance rather than title.Key ResponsibilitiesOversee the technical framework of AI systems deployed in client settings.Define the integration of models, agents, data pipelines, APIs, and orchestration layers, ensuring effective operation within existing enterprise infrastructures while maintaining safety and reliability at scale. Focus on architectural patterns that ensure consistency, safety, and long-term adaptability across deployments.Engage actively throughout the project lifecycle, from building reference implementations to evaluating and evolving systems.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.

WHO WE AREAt Applied Compute, we specialize in creating Specific Intelligence for enterprises—agents that continually learn from a company's processes, data, expertise, and goals. Our mission is to develop a continual learning layer and platform that captures context, memory, and decision traces across organizations, fostering an environment where specialized agents perform real work effectively.Why Join Us: We operate at a unique intersection of product development and advanced research. Our product team is building the platform for a new generation of digital coworkers, while our research team is pioneering advancements in post-training and reinforcement learning to enrich product experiences. Our applied research engineers collaborate closely with customers, deploying agents into production seamlessly. This blend of robust product focus, in-depth research, and real-world application is our approach to integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders with experience in RL infrastructure at OpenAI, data foundations at Scale AI, and various systems across renowned firms like Two Sigma and Watershed. We collaborate with Fortune 50 clients and are proudly backed by reputable investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about applying innovative research and complex systems to solve real-world challenges. You should be adept at navigating new environments swiftly, whether it's a fresh codebase, a customer's data architecture, or an unfamiliar problem domain. Our team values collaboration with customers, emphasizing active listening and understanding their workflows. We find that former founders, individuals with extensive side projects, and those who demonstrate end-to-end ownership excel in our culture.THE ROLEIn the role of Research Systems Engineer, you will train frontier-scale models and devise methodologies to implement continual learning in enterprise settings. Your responsibilities will include designing and executing large-scale experiments, investigating cutting-edge reinforcement learning techniques, and developing tools to gain insights into training processes. This position lies at the crossroads of research and systems engineering, where you will innovate algorithms alongside researchers and collaborate with infrastructure engineers to implement them on GPUs.

At Netic, we are revolutionizing the essential services sector with our advanced AI-driven revenue engine, which supports the backbone of the American economy.Backed by $43M in funding from illustrious investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Our platform has enabled companies to operate with an AI-first approach.Join our innovative team of relentless builders hailing from renowned organizations like Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. Together, we are applying frontier AI to solve complex challenges in the physical economy, where data is intricate and the results are both immediate and impactful.As an Applied AI Research Engineer, you will immerse yourself in pioneering research, gain a thorough understanding of the business functions we automate, and lead targeted machine learning projects that yield remarkable outcomes.

Join Chai Discovery as an AI Research ScientistAt Chai Discovery, we are pioneering the development of advanced AI models aimed at revolutionizing molecule design and transforming drug discovery processes. Our dedicated team is passionate about reimagining how new cures are developed, ultimately aiming to save lives.Founded by a collective of leading researchers and seasoned Silicon Valley operators, our team has achieved groundbreaking milestones in AI applications for biology. Our founders have made significant contributions to protein language modeling and cutting-edge folding algorithms, and have successfully partnered with top pharmaceutical companies to implement AI solutions. We are proud to be supported by prestigious investors such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and more.Role OverviewAs an AI Research Scientist, you will engage in innovative research focused on computational modeling for biological applications. Our projects extend beyond protein structure prediction into actual therapeutic engineering, offering you the opportunity to advance the field of AI-driven drug design, alongside a team that embodies a balance of critical thinking and optimistic vision.Your ProfileWe are looking for a driven AI Leader with extensive research experience and a commitment to pushing boundaries in therapeutic design. The ideal candidate should possess:Research Expertise:A Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related discipline.A robust publication record in leading ML or life-science journals (e.g., NeurIPS, ICML, Nature Methods, PLoS Computational Biology, J. Chem. Inf. Model., etc.).Technical Proficiency:Fluency in Python and familiarity with deep learning frameworks.Experience in training and evaluating large models using protein, antibody, or small-molecule datasets, or demonstrable transferable ML skills.Experimental Design & Analysis:Ability to convert scientific inquiries into manageable modeling experiments.Competence in managing extensive biological or chemical datasets, deriving significant metrics, and presenting findings to varied audiences.Collaboration & Communication:A collaborative spirit, eager to work with cross-functional teams including wet-lab scientists, software engineers, and product leaders.

Join Our Innovative TeamAt OpenAI, we are pioneering the field of artificial intelligence, empowering innovation and shaping the future through transformative research. Our mission is to democratize AI, ensuring its benefits are accessible to all. We are on the lookout for forward-thinking Research Engineers to join our Applied Group, where you will convert groundbreaking research into practical applications that can revolutionize industries, enhance human creativity, and tackle complex challenges.Your Impactful RoleAs a Research Engineer within OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your work will involve deploying cutting-edge models in production settings, transforming theoretical breakthroughs into impactful solutions. If you are passionate about making AI technology accessible and effective, this is your opportunity to leave a significant impact.In this role, you will:Innovate and Deploy: Create and implement advanced machine learning models addressing real-world issues. Translate OpenAI's research from theory to practice, developing AI-driven applications that make a meaningful difference.Collaborate with Experts: Engage closely with researchers, software engineers, and product managers to comprehend intricate business challenges and deliver AI-based solutions. Become part of a vibrant team where creativity and ideas flourish.Optimize and Scale: Develop scalable data pipelines, fine-tune models for peak performance and precision, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Stay at the forefront of advancements in machine learning and AI. Participate in code reviews, share insights, and exemplify best practices to maintain high standards in engineering.Make a Difference: Oversee and maintain deployed models, ensuring they consistently deliver value. Your contributions will directly shape how AI benefits individuals, businesses, and society as a whole.You may excel in this position if you possess:A Master's or PhD in Computer Science, Machine Learning, Data Science, or a related discipline.Proven experience in deep learning and transformer models.Expertise with frameworks such as PyTorch or TensorFlow.A robust understanding of data structures, algorithms, and software engineering principles.Experience with cloud platforms and deploying machine learning models in production.

About Distyl AIDistyl is a cutting-edge applied AI technology firm collaborating with the world’s most pioneering organizations to redefine essential operations for the evolving landscape of AI. Our clientele encompasses leading companies across telecom, healthcare, insurance, manufacturing, consumer goods, and global social sectors.We engage in the research and deployment of technologies that facilitate AI-native operations, both for our partners and within Distyl itself. Our initiatives range from investigating self-constructing systems and developing the most reliable AI execution frameworks to creating products that revolutionize mission-critical workflows. Consequently, Distyl's technologies impact some of the largest operations globally, influencing hundreds of millions of consumer interactions, tens of millions of supply chain transactions, and millions of patient journeys.Supported by prominent investors such as Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and board members from over 20 Fortune 500 companies, our approach yields remarkable results: a 100% success rate in production deployments and one of the few profitable enterprise AI firms.Position OverviewAs an AI Strategist, you will spearhead and propel technology solutions within the Healthcare sector, managing the go-to-market process through healthcare client interactions, from initial meetings to finalized agreements. Your role will focus on driving revenue and expanding our client base by diagnosing healthcare challenges through an AI perspective and crafting data-driven, AI-enabled solutions that demonstrate immediate value to potential clients. As a vital member of Distyl’s Healthcare Go-to-Market Team, you'll operate in a start-up mode, quickly developing demos and proof-of-concept solutions that highlight the Distillery platform’s capabilities to prospective healthcare partners.You will work at the intersection of business strategy and AI implementation, bridging the gap between Distyl’s technical AI capabilities and the business outcomes that facilitate deal closure. Excellent communication and storytelling abilities are crucial, as you will advocate for AI transformation in discussions. You will also engage in hands-on activities—prototyping workflows on the Distillery platform, creating demos in days rather than months, and collaborating with healthcare subject matter experts (clinicians, case managers, claims analysts) to ensure that solutions effectively address real operational pain points.This role demands high ownership from a candidate who thrives at the convergence of AI strategy, analytics, and execution, with a desire to build the go-to-market engine of an early-stage AI company from the ground up.