Principal Machine Learning Engineer

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.

Roblox is a dynamic platform where millions engage daily to explore, create, and connect through immersive 3D experiences crafted by a vibrant global community of developers and creators.Our mission at Roblox is to empower individuals to bring their imaginative experiences to life, transforming how people connect from anywhere in the world and on any device. We are dedicated to fostering a community that champions optimism and civility, and we are actively seeking exceptional talent to join us on this journey.Joining Roblox means you will play a pivotal role in shaping the future of human interaction, tackling unique technical challenges at scale, and contributing to safer, more respectful shared experiences for users worldwide.Why Focus on Safety?At Roblox, our commitment is to connect a billion people with optimism and civility. The Safety organization is at the forefront of creating civil immersive online communities. We proactively identify, remove, and mitigate problematic content and behaviors, ensuring that Roblox remains a safe, inclusive, and civil platform that nurtures positive relationships globally.Why Safety AI Systems?As a Principal Machine Learning Engineer specializing in Safety AI Systems, you will be instrumental in defining the future of proactive moderation while making a significant social impact through innovative machine learning solutions. This role merges the technical authority of a Principal Engineer with the leadership of an Engineering Manager, addressing critical safety challenges.You will establish the 3-5 year technical strategy and architectural framework guiding how Roblox employs machine learning—from rapid text filtering to utilizing multimodal Generative AI—to address the most complex safety issues on the platform. Your leadership will shape the execution roadmap and technical planning, overseeing the launch of high-priority machine learning initiatives. You will set the standards for innovation in data quality, model robustness, and ethical deployment across the entire Content & Communication Safety ML division.Lead and expand a high-performing team of contributors, offering both strategic direction and hands-on mentorship to those responsible for the architectural evolution of our safety systems.

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip while maintaining the programming simplicity of a single device. This unique approach enables Cerebras to provide unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly run large-scale ML applications without the complexities of managing numerous GPUs or TPUs. Cerebras proudly serves a diverse clientele, including leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently formed a multi-year partnership with Cerebras to harness 750 megawatts of scale, revolutionizing key workloads with ultra high-speed inference. Our groundbreaking wafer-scale architecture ensures that Cerebras Inference stands as the world's fastest solution for Generative AI inference, achieving speeds over ten times faster than GPU-based hyperscale cloud inference services. This remarkable increase in speed is transforming the user experience of AI applications, enabling real-time iterations and enhancing intelligence through additional agentic computation.About The RoleCerebras is expanding its Machine Learning team to spearhead a new initiative that aligns with our existing teams. We are seeking a Principal Investigator to collaborate with our ML leaders in shaping this new effort while building the team and enhancing our capabilities. This new team will work in concert with our current ML divisions: Field ML, which directly engages with customers, Applied ML, which develops new ML capabilities and applications, and Core ML, which adapts ML algorithms to leverage the unique features of Cerebras hardware. The new team may undertake similar or complementary responsibilities.The new team will focus on areas such as:Post-training and reinforcement learning: Enhancing model deployment quality through advanced training, tuning, and reinforcement learning techniques, concentrating on specific downstream tasks;Dataset curation and optimization: Implementing strategies to gather and select high-quality data, facilitating quicker and higher-quality model training and tuning;LLM Pretraining: Engaging in...

About UpstartAt Upstart, we are driven by a meaningful mission: to drastically simplify borrowing for all Americans. Every day, we harness creativity, experimentation, and cutting-edge AI to redefine access to credit, empowering millions to achieve financial clarity and confidence.As a premier AI lending marketplace, we collaborate with banks and credit unions to broaden access to affordable credit through technology that is not only exceptionally intelligent but also profoundly human. Our platform executes over one million predictions for each borrower, utilizing more than 1,800 signals to enable smarter, fairer decisions for countless customers. Yet, the numbers only reflect part of our impact. Every idea, every voice, and every contribution propels us toward a future where credit never obstructs individuals' financial progress.We proudly embrace a digital-first culture, allowing most Upstarters the flexibility to perform their best work from anywhere they thrive, alongside colleagues across 80+ cities in the US and Canada. Digital-first does not equate to distant; we intentionally cultivate in-person connections through team gatherings, strategic planning sessions, and moments that ignite creativity and trust. Whether you opt to work predominantly from home or collaborate in-person at one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you will have the support to work in a manner that suits you best.If you are passionate about addressing significant challenges, eager to innovate with intention, and motivated by work that genuinely makes a difference, we would love to connect with you.The TeamThe Machine Learning Platform team is dedicated to developing the foundational technology that scales machine learning innovation throughout Upstart. As a Principal Machine Learning Engineer, you will operate at the convergence of applied machine learning and platform engineering, closely collaborating with Research Scientists, Data Scientists, and ML Platform Engineers to build tools and systems that expedite model development and enhance predictive accuracy. Success in this role demands an in-depth understanding of machine learning across the entire modeling lifecycle—from data preparation to training, deployment, and production.In this position, you will spearhead engineering initiatives that transform high-impact modeling requirements into scalable, reusable infrastructure. This encompasses creating a unified embeddings platform for training, serving, and managing representations at scale; streamlining feature engineering pipelines to minimize manual tasks and deliver new signals promptly; developing automated continuous-learning systems that manage data refresh, retraining, evaluation, and drift monitoring with minimal manual intervention; and expanding our training...

We are seeking a highly skilled Principal Machine Learning Engineer to join our innovative team at Agero. In this pivotal role, you will lead the development of advanced machine learning models and algorithms that drive our data-driven solutions. You will collaborate with cross-functional teams to leverage AI technologies aimed at enhancing customer experiences and operational efficiencies.

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.

At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the eastern or central time zones to collaborate effectively with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to steer and implement our AI and data science initiatives. This senior technical leadership role requires a unique individual who possesses extensive knowledge in machine learning, data science, and production engineering, coupled with the business insight needed to transform intricate capabilities into tangible customer value.In this role, you will serve as the leading technical authority on AI at Wiser. Your responsibilities will include defining the architectural vision, showcasing our capabilities to clients and partners, and delivering production systems that yield measurable business results. This position demands an individual who can seamlessly navigate between strategic planning and hands-on execution, capable of engaging with executives one day and troubleshooting production pipelines the next.We are fostering an AI-driven engineering culture at Wiser, where AI tools and methodologies are integrated into our workflows—not just our products. We seek a Principal AI Engineer who not only develops AI solutions but also exemplifies AI-enhanced working practices and aids the broader engineering team in their adoption. If you’re passionate about the transformative power of AI in software development and actively embrace this shift in your daily work, we want to hear from you.Key ResponsibilitiesStrategic LeadershipCollaborate with product and business leadership to define and refine Wiser's technical AI and data science strategy.Communicate Wiser's AI capabilities to clients, partners, and advisors, outlining our approach, roadmap, and unique value proposition.Spot high-impact opportunities where AI can effectively address client challenges or provide competitive advantages.Set technical standards, patterns, and best practices that guide engineering decisions across the organization.Technical ExecutionDesign and develop production AI systems, including applications for LLM, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with modern generative AI methods.Oversee the technical quality of AI systems end-to-end, from data pipelines and model deployment to production observability.Cross-Functional CollaborationWork alongside product management to translate business needs into technical solutions and validate them against customer expectations.Guide and uplift the AI/data science team (3-5 engineers), enhancing the technical proficiency across the board.

About the RoleAt bjakcareer, we are pioneering an advanced AI system designed to grasp context across interactions, strategize actions, and drive work forward effectively over time.In this pivotal role, you will transform research insights into operational, production-ready machine learning systems. You will take charge of the execution layer of our AI capabilities, overseeing training pipelines, inference systems, evaluation tools, and deployment processes.Key ResponsibilitiesDevelop and manage comprehensive ML pipelines encompassing data preparation, model training, evaluation, inference, and deployment.Refine and customize models utilizing cutting-edge techniques such as LoRA, QLoRA, SFT, DPO, and distillation.Design and implement scalable inference frameworks, optimizing for latency, cost, and reliability.Establish and sustain data systems to ensure high-quality synthetic and real-world training datasets.Execute evaluation pipelines focused on performance, robustness, safety, and bias, in collaboration with research leadership.Oversee production deployment, including GPU optimization, memory management, latency mitigation, and scaling strategies.Collaborate closely with application engineers to seamlessly integrate ML systems into backend, mobile, and desktop applications.Make practical trade-offs and deliver enhancements swiftly, learning from real-world application.Operate within real production constraints: latency, cost, reliability, and safety.QualificationsStrong expertise in deep learning and transformer-based architectures.Hands-on experience in training, fine-tuning, or deploying large-scale ML models in a production environment.Proficiency in at least one modern ML framework such as PyTorch or JAX, with a quick adaptability to others.Experience with distributed training and inference frameworks like DeepSpeed, FSDP, Megatron, ZeRO, or Ray.Robust software engineering skills, capable of writing maintainable, production-level code.Familiarity with GPU optimization techniques, including memory efficiency, quantization, and mixed precision.Comfortable with owning and developing ambiguous, zero-to-one ML projects from inception to completion.A strong inclination towards rapid deployment, iterative learning, and system enhancements.

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.

Mission Overview:We are on the lookout for an accomplished and innovative Principal Engineer Tech Lead Manager to spearhead our new Machine Learning (ML) Acceleration team. In this key position, you will be responsible for crafting the strategy, development, and implementation of initiatives designed to significantly enhance the speed of ML model training. The ultimate objective is to substantially shorten the development cycle for new ML models and facilitate swift hot-patching for issues encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance enhancement with robust leadership and personnel management skills. You will have the opportunity to recruit, mentor, and cultivate a high-performing team of engineers, while promoting a culture that embraces innovation, collaboration, and ongoing improvement.Your Responsibilities:Team Leadership & Management:Assemble, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.Offer technical direction, mentorship, and career development pathways for team members.Encourage a collaborative and inclusive team atmosphere.Establish team objectives, priorities, and roadmaps that align with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess cutting-edge technologies and methodologies to expedite ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and deploy scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML Training platform, and product teams to understand their requirements and seamlessly integrate acceleration solutions.Communicate intricate technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical authority and proponent for ML acceleration initiatives across the company.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Persistently seek out further optimization and innovation opportunities.

Mission Overview:We are on the lookout for a seasoned and innovative Principal-Level Tech Lead Manager to spearhead our newly established Machine Learning (ML) Acceleration team. This critical position will lead the strategy, development, and implementation of initiatives designed to significantly enhance the speed of ML model training. Our ultimate objective is to dramatically shorten the development cycle for new ML models and facilitate swift hot-patching for any issues arising within our autonomous vehicle services.As a hands-on leader, you will combine extensive technical knowledge in ML systems and performance optimization with robust leadership and people management skills. Your role will involve recruiting, mentoring, and nurturing a high-performing team of engineers, while promoting a culture characterized by innovation, collaboration, and ongoing improvement.Key Responsibilities:Team Leadership & Management:Assemble, lead, and manage a top-tier team of ML and infrastructure engineers focused on acceleration.Offer technical guidance, mentorship, and career development opportunities to team members.Create a collaborative and inclusive team atmosphere.Establish team objectives, priorities, and a roadmap that aligns with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess cutting-edge technologies and methodologies for expediting ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and implement scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML Training platform, and product teams to comprehend their needs and seamlessly integrate acceleration solutions.Effectively communicate complex technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical expert and advocate for ML acceleration initiatives across the organization.Impact & Measurement:Regularly assess and report on the impact of acceleration initiatives.Continuously pursue opportunities for further optimization and innovation.

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.

Toloka AI is hiring a Freelance Machine Learning Engineer for a remote contract role based in Wisconsin, United States. This position centers on building and improving machine learning models that directly support product development and help shape the user experience. Responsibilities Create and fine-tune machine learning models for practical, real-world use Use data science techniques to enhance product features Work with other team members to solve technical challenges Requirements Solid background in machine learning and data science Proven ability to tackle complex problems using technical approaches Comfortable working independently as well as collaborating with a team Remote Work This contract role is fully remote but requires residence in Wisconsin, United States.

Join Roblox as a Principal Machine Learning Engineer focused on enhancing reliability across our systems. In this pivotal role, you will leverage cutting-edge machine learning techniques to ensure the seamless performance and reliability of our platform. Collaborate with cross-functional teams to design and implement robust ML algorithms that enhance user experience and system functionality.

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.

About VoltaiAt Voltai, we are pioneering the future of artificial intelligence by developing world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on understanding and creating advanced hardware, electronic systems, and semiconductors, utilizing AI to design and innovate beyond human cognitive boundaries.About Our TeamOur remarkable team is backed by esteemed Silicon Valley investors, Stanford University, and industry leaders including CEOs and Presidents of Google, AMD, Broadcom, and Marvell. We boast a diverse group of former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech firms, and high-ranking officials with experience in national security and foreign policy.What We Are Looking ForExceptional AI/ML engineering skills, ideally from top-tier programs in Computer Science, Electrical Engineering, Mathematics, or Physics.Demonstrated success in delivering AI/ML projects from initial concept through to production deployment.Hands-on experience in fine-tuning and deploying large language models (LLMs) within production environments.Experience working with multi-modal models that integrate text, image, or audio inputs.Bonus PointsExperience in competitive programming.Contributions to open-source projects.Recognition through awards or publications in leading journals and conferences.Ability to thrive in a dynamic, fast-paced startup environment.