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.

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.

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.

Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.

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 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.

Key Responsibilities:Serve as a pivotal member of the leadership team, shaping strategy and vision for the organization.Establish the functional and research roadmap to drive business growth.Guide, mentor, and expand the data science team, fostering professional development.Utilize high-quality, diverse datasets from Fortune 500 companies to extract actionable insights for our clients.Design, prototype, and refine innovative architectures in Natural Language Processing (NLP), including Dual-Encoders, Retrieval-Based Ranking Engines, and Generative Models.Establish thought leadership in the industry by sharing insights through blogging and speaking engagements at conferences.

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.

Join Amperity as a Lead Machine Learning Engineer, where you'll spearhead innovative projects that leverage machine learning technologies. You will be responsible for developing and deploying robust machine learning models that drive significant business outcomes. Collaborate with cross-functional teams to integrate advanced analytics into products and services, optimizing customer experiences and operational efficiency.

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...

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.

May Mobility develops autonomous vehicles in Ann Arbor, MI, aiming to improve urban transportation with advanced technology. The company’s Multi-Policy Decision Making (MPDM) system helps AVs interpret their surroundings, supporting safer and more accessible travel. Since 2017, May Mobility has delivered over 500,000 autonomous rides worldwide, focusing on reducing congestion and increasing mobility options. Role overview The Lead Machine Learning Engineer will drive progress in machine learning for autonomous vehicles. This position involves leading efforts to advance both on-vehicle and off-vehicle ML systems, ensuring solutions meet the demands of commercial deployment and high-quality standards. What you will do Lead the development and improvement of machine learning systems for autonomous vehicles. Work on projects that impact both the vehicles themselves and supporting infrastructure. Contribute to large-scale, real-world deployments in a commercial environment. What we look for Experience advancing machine learning initiatives, ideally within autonomous vehicles or related fields. Ability to deliver high-quality solutions at scale. Interest in shaping the future of transportation.

Join the Innovative Team as a Principal Machine Learning Engineer at Headspace! At Headspace, our Machine Learning team is at the cutting edge of technology, dedicated to enhancing the well-being of our users and healthcare professionals through thoughtfully implemented Machine Learning solutions. From developing advanced conversational AI systems to creating personalized healthcare tools, our team is pivotal in transforming how we support mental health. In this role, you will spearhead the creation and implementation of state-of-the-art language-based ML applications that are integral to our platform's core features. As a leader, you will guide the vision, design, deployment, and adoption of these groundbreaking solutions, helping Headspace achieve its mission to foster health and happiness worldwide.

Janea Systems (USA) is a vibrant and innovative team comprised of exceptional software engineering specialists and solution architects from across the globe. We deliver impactful software development services to Fortune 500 companies, spanning from kernel-level to cloud solutions.We are looking for an exceptionally skilled Lead Machine Learning Engineer to join our rapidly expanding consulting team. In this pivotal role, you will orchestrate the design, development, and deployment of scalable machine learning and AI systems tailored for enterprise clients. You will be engaged at the intersection of machine learning, distributed systems, and production-grade software engineering, translating pioneering ML research into resilient, production-ready solutions.As a Lead ML Engineer, you will influence ML architecture decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across diverse industries.

About SandbarSandbar is a pioneering interface company based in New York City, dedicated to enhancing individual autonomy in an agentic world. Our team comprises experts who have developed cutting-edge software, machine learning, and hardware products at renowned companies like Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a revolutionary human-agent interface—a private voice ring and conversational computer. This innovative product has received accolades in major publications such as the Wall Street Journal, Bloomberg, and Wired, with shipping scheduled for Summer '26.Join us in redefining self-augmentation through advanced interfaces.

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.

At May Mobility, we are on a mission to revolutionize urban landscapes through innovative autonomous technology. Based in Ann Arbor, Michigan, we design and deploy autonomous vehicles (AVs) that leverage our groundbreaking Multi-Policy Decision Making (MPDM) technology, redefining how AVs navigate the world.Our autonomous vehicles do more than just self-drive; they enrich communities by bridging public transit gaps and ensuring safe, enjoyable transportation for all. We are committed to developing the best autonomy systems that not only reduce traffic congestion but also enhance accessibility and promote sustainable land use for greener, more livable spaces. Since our inception in 2017, we have provided over 500,000 autonomous rides globally, and we are just getting started. If you are passionate about shaping the future of transportation and making a tangible impact, we want you on our team.Key ResponsibilitiesDesign, architect, and implement a high-performance lane and route network mapping system, ensuring seamless integration with our overall autonomy framework.Lead the research and development of advanced neural network architectures, including vectorized mapping networks (e.g., MapTR), multi-camera BEV transformers, and LiDAR-camera fusion models to effectively extract and model lane and route networks for both offline and online applications.Drive major feature developments from ideation through deployment, overseeing high-level architecture design, conducting thorough code reviews, automated testing, and resolving technical challenges.Oversee the end-to-end data strategy for the mapping domain, defining processes for data curation, auto-labeling, synthetic data generation, and active learning to address long-tail scenarios.Create robust metrics and evaluation frameworks to assess lane and route network accuracy, temporal consistency, and scalability across diverse Operational Design Domains (ODDs).Collaborate independently with cross-functional teams to translate complex autonomy goals into well-defined software and system requirements.Partner with ML and Autonomy engineers to ensure the smooth deployment and validation of mapping features across our vehicle fleet.Stay at the forefront of research by evaluating, adapting, and innovating utilizing cutting-edge techniques, including online vectorized HD map construction and end-to-end mapping models.