Principal Machine Learning Data Scientist - Generative AI

Aimpoint Digital stands as a leading analytics consulting firm dedicated to unlocking business value for our clients through unparalleled expertise in data strategy, analytics, decision sciences, and robust data engineering infrastructures. This role is integral to our decision sciences practice, which delivers cutting-edge solutions leveraging machine learning and statistical modeling.Role OverviewAs a Principal Decision Scientist at Aimpoint Digital, your primary focus will be to empower our clients to harness the full potential of their data. You will collaborate with diverse stakeholders within client organizations to develop impactful solutions that extract valuable insights while providing training on managing and maintaining these solutions. Typical projects will involve machine learning, artificial intelligence, statistical analysis, automation, optimization, and innovative data visualizations.Key responsibilities include:Engaging with clients to define overarching business objectives and crafting actionable project plans to achieve them.Conducting proactive research and applying cutting-edge knowledge in data science to deliver top-tier solutions.Leading teams through the entire data science lifecycle, from initial problem definition to model deployment and automation.Providing technical leadership and contributing to development efforts across teams while also delivering specific technical components.Managing client relationships and driving initiatives that create value for both clients and the company.Designing and developing feature engineering pipelines, establishing ML & AI infrastructures, deploying models, and orchestrating advanced analytical insights.Writing efficient code in SQL, Python, and Spark, adhering to best practices in software engineering.Candidate ProfileWe seek collaborative professionals who are driven to create value, thrive in a dynamic environment, and address real-world business challenges. You are an adept coder, producing optimized and efficient code. You possess problem-solving skills that allow you to deliver both straightforward and sophisticated solutions, ensuring that clients can comprehend, implement, and maintain them. Your perspective encompasses the entire machine learning pipeline as you design robust solutions. You embody both the roles of a mentor and a learner, fostering growth among your clients and teammates alike. Your goal is to make a significant impact for your clients through thoughtful prioritization and guiding solutions from conception to deployment.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is a forward-thinking initiative that builds upon Flagship Pioneering's rich history of establishing groundbreaking scientific and computational enterprises. By leveraging cutting-edge advancements in artificial intelligence, machine learning, and data science, we aim to accelerate fundamental research and cultivate a dynamic portfolio of AI-first companies. As an integral part of Flagship's unique model that intertwines science, entrepreneurship, and investment, we transform revolutionary concepts into impactful companies, enhancing AI innovations that contribute to human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Methods to spearhead various AI/ML and computational initiatives across early-stage ventures within our company origination framework. Your responsibilities will include defining and executing practical AI strategies, overseeing the development of methodologies and platforms (including systems design, drug design, molecular modeling, systems biology, protein design, and LLM-based workflows), and ensuring a high standard of rigor in model development, benchmarking, scaling, and reporting. You will also manage cross-functional teams as necessary, influence the strategic direction of our initiatives, and represent Pioneering Intelligence to venture teams and external collaborators. The ideal candidate is a self-motivated individual with a diverse skill set, capable of transitioning seamlessly from protein design to mass spectrometry or docking pipelines, and then creating LLM-based agents to streamline scientific workflows.

At Turnitin, Machine Learning is a cornerstone of our ongoing success and innovation. Join us on an exciting journey as we strive to push the boundaries of technology in education. As a Principal Machine Learning Scientist, you will be part of a diverse and dynamic global team comprised of inquisitive scientists and engineers, all dedicated to developing and implementing state-of-the-art Machine Learning systems.Your role will involve collaborating closely with product and engineering teams across Turnitin to seamlessly integrate advanced Machine Learning capabilities into a wide range of educational and integrity tools. Your work will impact hundreds of thousands of educators and millions of students globally. With billions of papers processed and countless assessments graded on our platforms, your contributions will resonate on a grand scale.Machine Learning underpins our AI Writing detection system, automates feedback on student assignments, investigates authorship, and transforms how assessments are created and graded. You will play a pivotal role in this transformative process.Key Responsibilities:Design and develop innovative and deployable Machine Learning models and solutions tailored to unique challenges.Possess a deep understanding of Machine Learning mathematics and theory, enabling the design of novel model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning, applying relevant findings to your work.Write production-level code and ensure models are deployable within our products.Manage the training of large models, leveraging multiple GPUs and nodes while optimizing for performance and cost.Conduct dataset exploration, generation, design, and analysis, often dealing with large data sets.Present findings internally and contribute to publications in peer-reviewed journals.

ABOUT PIONEERING INTELLIGENCEPioneering Intelligence extends Flagship Pioneering's tradition of launching innovative scientific and computational initiatives. By leveraging the latest advancements in AI, machine learning, and data analytics, we aim to expedite fundamental research and build a diverse portfolio of AI-first companies. As a key player in Flagship's integrated approach to science, entrepreneurship, and investment, we transform groundbreaking concepts into transformative enterprises that enhance AI innovations in human health, sustainability, and more.THE ROLEWe are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Techniques to spearhead various AI/ML and computational initiatives across early-stage ventures in our company origination process. You will be responsible for defining and executing practical AI strategies, overseeing the development of methodologies and platforms such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM-driven workflows while ensuring the utmost rigor in model development, benchmarking, scaling, and reporting. You will manage cross-functional contributors as necessary, influence the strategic direction of the company, and represent Pioneering Intelligence to venture teams and external partners. The ideal candidate is a proactive, deep thinker who can seamlessly transition between protein design one week and mass spectrometry or docking pipelines the next, while also developing LLM-based agents to automate scientific workflows.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence continues the legacy of Flagship Pioneering by creating innovative scientific and computational ventures. Utilizing advancements in AI, machine learning, and data analytics, our mission is to expedite fundamental research and establish a diverse portfolio of AI-first companies. We integrate science, entrepreneurship, and capital to transform groundbreaking concepts into impactful companies, furthering AI advancements in human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist in Embedded Machine Learning/Computational to spearhead multiple AI/ML and computational projects within early-stage ventures as part of Flagship’s origination process. Your responsibilities will include defining and executing effective AI strategies, leading method and platform advancements (such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM/agentic workflows), and ensuring excellence in model development, benchmarking, scaling, and reporting. You'll collaborate with cross-functional teams, shape the direction of the company, and represent Pioneering Intelligence to both venture teams and external partners. The ideal candidate is a proactive deep diver, capable of transitioning from protein design to mass spectrometry or docking pipelines, and then developing LLM-based agents to streamline scientific workflows.

Join Adaptive Biotechnologies in Revolutionizing Immune Medicine! Our mission is to leverage the adaptive immune system to redefine disease diagnosis and treatment.As a member of our team, you will have the opportunity to make a profound impact on people's lives. At Adaptive, you'll build a career highlight while collaborating with innovative and inquisitive colleagues at the forefront of medical advancement.Your next chapter awaits. Discover your potential with Adaptive. Position OverviewWe are on the lookout for a Lead Principal Machine Learning Scientist to spearhead the creation of advanced deep learning models for TCR–pMHC specificity prediction.In this position, you will utilize a vast and expanding proprietary dataset to design, train, and assess models predicting interactions between T cell receptors and peptide–MHC complexes. Your focus will be on innovating methods that merge sequence and structural data, rigorously testing their efficacy in real-world applications.You will collaborate closely with computational scientists, immunologists, and machine learning engineers across our organization. Our team combines expertise in immune biology, experimental assay development, and large-scale machine learning while providing access to proprietary immune receptor datasets, shared GPU infrastructure, and engineering support for model development and training.This role is pivotal at the intersection of modeling and experimental data generation. As model outputs identify gaps in existing data or propose new experimental avenues, newly generated datasets will enhance model performance and validation.The models you create will directly contribute to diagnostic and therapeutic initiatives both within Adaptive and through external collaborations. This position offers a unique chance to advance predictive modeling of immune receptor specificity and witness its translation into impactful clinical and commercial outcomes.

Join our innovative team at Nagarro as a Principal Engineer, specializing in Machine Learning. In this role, you will leverage your expertise to design and implement cutting-edge machine learning models that drive business solutions and enhance user experiences. You will collaborate with cross-functional teams to develop scalable and efficient algorithms, ensuring they meet the highest standards of performance and reliability.As a key member of our engineering department, your contributions will directly impact our product offerings and the success of our clients. We value creativity and encourage you to propose new ideas and advancements in machine learning technology.

Lila Sciences is seeking a Principal Machine Learning Engineer based in San Francisco, CA. This position centers on designing and building advanced machine learning algorithms to support scientific progress in healthcare and agriculture. Role overview The Principal Machine Learning Engineer will develop and implement new algorithms that strengthen Lila Sciences’ product capabilities and support data-driven decisions. The work will directly affect both internal business outcomes and broader scientific initiatives. Collaboration and impact This role involves close collaboration with engineers and data scientists on projects that address a range of technical and scientific challenges. The solutions created will have a direct influence on the future of healthcare and agriculture by applying advanced analytics and machine learning techniques.

Are you passionate about leveraging data and machine learning to drive impactful decisions? At Everlywell, we are looking for an enthusiastic and innovative Applied Scientist with expertise in Machine Learning, Experimentation, and Decision Systems. Join our team and play a crucial role in developing algorithms that enhance our health and wellness solutions.

Join Axon and be a Force for Good.At Axon, we’re dedicated to our mission of Protecting Life. As pioneers in the safety and justice fields, we leverage an ecosystem of devices and cloud software to tackle society's most pressing issues. Our collaborative approach thrives on open communication and a commitment to diverse perspectives, allowing us to connect meaningfully with our customers and communities.Life at Axon is dynamic, challenging, and impactful. Here, you will take the lead in driving transformative changes and grow continually while contributing to a mission that truly matters in a company where your contributions are valued.Your ImpactIf you have a passion for artificial intelligence and enjoy engineering innovative solutions that accelerate cutting-edge scientific advancements, we want you!As a Principal Machine Learning Engineer at Dedrone, you will play a pivotal role in architecting and implementing the platform utilized by Dedrone scientists to deliver safe, secure, and reliable AI features in the counter-UAS domain. By collaborating closely with both scientists and software engineers, you will facilitate the introduction of new AI capabilities across Dedrone products. Being part of a multidisciplinary team will expose you to various domains and applications, from Multi-modal Sensor Fusion to Real-Time Systems with distributed edge computing.The ideal candidate will boast a proven track record of optimizing models for edge deployment and deploying AI solutions on devices with limited memory and connectivity, catering to users worldwide. You will have a deep understanding of the AI lifecycle, providing end-to-end support for scientists in developing new machine learning models and AI functionalities, fostering better and more responsible AI applications. We seek bold individuals who are ready to champion drone safety measures across Public Safety, Enterprise, and Defense sectors.

Our MissionAt Altos Labs, we are dedicated to restoring cell health and resilience through advanced cell rejuvenation techniques aimed at reversing diseases, injuries, and age-related disabilities.For more information, please visit our website at altoslabs.com.Our ValueWe embrace a singular value at Altos: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe recognize that diverse perspectives are vital to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders collaborate from around the globe, united by a common mission. Our commitment to fostering a sense of belonging ensures that every employee feels valued for their unique insights. We all share the responsibility of maintaining a diverse and inclusive workplace.What You Will Contribute To AltosAs a Senior or Principal Machine Learning Scientist, you will be pivotal in developing groundbreaking generative AI/ML models that address multi-modal, multiscale biological challenges—from virtual cell simulations to agentic target assessments. We seek an innovative, hands-on individual who thrives in a collaborative and fast-paced environment, emphasizing teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Join The New York Times as a Machine Learning Scientist, where you will leverage advanced machine learning techniques to enhance user engagement and content discovery across our digital platforms. Collaborate with a talented team of data scientists and analysts dedicated to revolutionizing the way our audience interacts with journalism. Your role will involve translating business objectives into actionable machine learning tasks, developing innovative algorithms, and ensuring the deployment of robust models with a focus on reproducibility and ethical considerations.

Join Addepto, a premier AI consulting and data engineering firm, as a Data Scientist / Machine Learning Engineer. We specialize in crafting scalable, ROI-driven AI solutions for globally recognized enterprises and forward-thinking startups, including industry leaders like Rolls Royce, Continental, Porsche, ABB, and WGU. Our mission is to empower organizations to harness the transformative power of their data through systems designed for tangible business outcomes and sustainable growth.At Addepto, our impact goes beyond client projects. Leveraging real-world insights, we have developed our proprietary product, ContextClue, and actively contribute to open-source initiatives within the AI community. Our dedication to translating hands-on experience into scalable innovation has garnered recognition from Forbes as one of the top 10 AI consulting firms worldwide.As a part of KMS Technology, a US-based global technology group, Addepto uniquely combines deep AI expertise with enterprise-level delivery capabilities, enabling us to take clients from AI experimentation to impactful production securely and at scale.In this role, you will collaborate with a team of technology experts on innovative projects across diverse industries, utilizing state-of-the-art technologies. Some exciting projects you may contribute to include:AI Optimization Engine for Airport Operations: Develop an AI-driven optimization engine to enhance airport operations by leveraging real-time data from radar, air traffic, and passenger information.AI Recommendation Engine for Leading Innovation Firm: Build AWS-powered solutions that deliver domain-specific recommendations through sophisticated large language models.

Join Hilbert, a pioneering data science-driven growth engine that empowers B2C teams with predictive insights into user behaviors, revenue drivers, and sustainable growth strategies. Our innovative approach compresses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is the backbone of their growth strategies. We are also collaborating with leading AI companies to push the boundaries of what’s possible.We are seeking a talented Data Scientist who possesses a deep understanding of B2C business challenges, develops actionable models using real-world data, and delivers impactful analyses that facilitate significant growth outcomes — all with the initiative and urgency typical of a founder.This is not a role where you simply receive tasks; you will take ownership of problems from start to finish — from problem framing and modeling to measuring impact — for enterprise clients where the stakes are high and feedback is rapid. If you understand the nuances of churn analysis for different sectors, can create effective recommendation systems from sparse data, and can clearly communicate your causal analysis to clients, we want to meet you.ROLE OVERVIEWYou will closely collaborate with the founding team, engineering, product, and go-to-market teams to enhance the data science systems integral to Hilbert. Daily responsibilities include building models, conducting experiments, analyzing data, and producing analyses that influence key decisions. Our focus is B2C, and the challenges we tackle — such as demand forecasting, customer lifecycle management, personalization, and activation — require an individual who can translate business contexts into effective modeling choices. You will thrive in a high-autonomy, high-ambiguity environment where data is often messy, incomplete, or scarce.Key Responsibilities:Develop ML models that enhance core product features: recommendation systems, search relevance, customer segmentation, demand forecasting, and activation optimization.Contribute to configurable, multi-tenant model architectures that adapt to various customer contexts and business needs, avoiding the need for custom solutions for each case.Build effective models using available data — leveraging limited, noisy, or sparse datasets while determining the appropriate level of complexity.Design and implement rigorous A/B tests and recognize when causal inference methods are necessary.

Join Hilberts as a Machine Learning Engineer / Data Scientist in our San Francisco office, where you will leverage cutting-edge technology to drive enterprise-level solutions. You will work collaboratively with cross-functional teams to design, develop, and implement machine learning models that enhance our data-driven decision-making processes.

Join UiPath as a Principal Applied Scientist - AIAt UiPath, we are champions of automation, revolutionizing the way businesses operate through innovative enterprise software solutions. Our team's passion for curiosity, generosity, and authenticity drives us forward in this dynamic environment.Are you ready to make a significant impact?As a Principal Applied Scientist at UiPath, you will spearhead advancements in machine learning, laying the groundwork for groundbreaking product developments. This pivotal leadership role melds applied research, engineering, and strategic insight, allowing you to shape the trajectory of our cutting-edge ML projects.We are on the lookout for a scientist who has demonstrated success in leading influential research and implementing pioneering machine learning systems at scale. A deep curiosity about AI and ML, a commitment to innovation, and a passion for addressing real-world automation challenges are essential for this role.The ideal candidate should possess extensive experience in designing and executing sophisticated experiments, developing high-performance ML systems, and mentoring teams. We highly value collaboration, humility, technical excellence, and a proactive approach to problem-solving.Background:This position is within the UiPath advanced machine learning research group, focused on creating large multi-modal models that mimic human software interaction. Our goal is to expand the horizons of AI in the quest for effective general intelligence for enterprise automation.Your Responsibilities:Direct the design and implementation of state-of-the-art machine learning and deep learning systems for practical applications.Drive innovation in NLP, NLU, NLG, computer vision, and multi-modal learning to achieve significant advancements in software automation.Define and guide the strategy for scalable ML infrastructure and the transition from research to production.Design experiments, perform comprehensive benchmarking, and analyze large datasets to assess and enhance model performance.Collaborate extensively with engineering, product, and research teams to effectively integrate ML solutions into UiPath offerings.

About Wispr FlowAt Wispr Flow, we strive to make device interaction as seamless as conversing with a friend.Wispr Flow has revolutionized voice dictation, now preferred by users over traditional keyboards due to its unparalleled accuracy on the first attempt. Our platform is context-aware, personalized, and effective across all devices, whether desktop or mobile.By 2026, we aim to expand beyond dictation to develop native actions within an agentic framework that comprehends and responds to user needs reliably.Our diverse team comprises AI researchers, designers, growth specialists, and engineers dedicated to reimagining human-computer interaction. We value team members who prioritize open communication, exhibit a user-centric mindset, and pay meticulous attention to detail. Our collaborative environment fosters spirited discussions, truth-seeking, and tangible impact.Having achieved a remarkable 150% revenue growth quarterly for the past year, we have successfully raised $81 million from top-tier venture capitalists and renowned angel investors.

About Nucs AINucs AI is at the forefront of transforming cancer treatment through advanced artificial intelligence and medical imaging technologies. Established in 2024 by a diverse team of oncologists, AI specialists, and healthcare pioneers, we address one of the greatest challenges in modern medicine: the increasing need for precise and timely cancer diagnostics amidst soaring scan volumes and constrained radiologist resources.Positioned at the crossroad of diagnostics and treatment planning, we develop AI-driven tools that integrate medical imaging, radioligand therapy, and artificial intelligence. Initially focusing on prostate cancer and expanding into other areas of oncology, we collaborate with top-tier medical institutions and pharmaceutical companies across the United States, Europe, and Australia to incorporate precision oncology into routine clinical practice.Our mission is to enhance diagnostic accuracy and broaden access to expert-level cancer care, ultimately improving patient outcomes globally. As a venture-backed startup in its early stages, we are building a team that combines extensive clinical knowledge with engineering excellence, moving with the urgency and precision that the medical field demands.The OpportunityWe are seeking a Machine Learning Scientist to elevate our machine learning research capabilities within clinical oncology. This senior, research-focused position is ideal for an individual eager to design innovative approaches for medical image analysis, predict treatment outcomes, and integrate multi-modal clinical data—translating these methods into practical clinical applications.In this role, you will collaborate closely with physicians, medical physicists, and seasoned engineers possessing deep domain expertise. Together, you will develop methods that are both scientifically robust and clinically relevant, directly influencing our product features and contributing to peer-reviewed scientific literature.What You’ll DoResearch & Method DevelopmentInnovate and refine ML/DL methodologies for medical image analysis, encompassing segmentation, lesion identification, longitudinal monitoring, treatment response forecasting, and outcome modeling.Design and execute experiments to assess new approaches against clinical benchmarks and cutting-edge methodologies.Stay abreast of the latest literature and propose research trajectories that advance Nucs AI’s offerings and scientific contributions.

Join Duolingo as the Principal Learning Scientist and lead our Efficacy Research initiatives. In this pivotal role, you will leverage your expertise in learning sciences and data analysis to evaluate and enhance the effectiveness of our educational products. You will collaborate with cross-functional teams to design studies that measure learning outcomes and provide actionable insights to drive improvements.