Senior principal scientist jobs in Santa Cruz, CA - 1,156 jobs

Job Category Job Type Full-Time Job # 402630 Job Department Artificial Intelligence Center Lab Summary: Samsung's AI Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. Position Summary: We are looking for an experienced research leader to drive product-focused research in On-Device Personalization, leveraging LLMs and machine learning to shape next-generation AI-driven user experiences. This role will focus on ambient intelligence, ensuring seamless, adaptive, and privacy-preserving personalization at the edge. You will craft the vision, lead innovation, and collaborate across research, engineering, and product teams to push the boundaries of AI-driven user interaction. Influence the future of on-device AI and personalization at scale. Work with a team of world-class researchers and engineers. Drive groundbreaking AI research into real-world impact. Competitive compensation, benefits, and growth opportunities. If you are excited about crafting the future of AI-driven, personalized experiences, apply now and be part of an innovative, forward-thinking team. Position Responsibilities: Lead and define the vision for on-device personalization and ambient intelligence, driving research that enables LLM-powered, user-centric experiences Spearhead research and development efforts in LLM-driven personalization, context-aware AI, and on-device machine learning to enhance user experiences Collaborate closely with cross-functional teams, including product managers, research scientists, and platform engineers, to align cutting-edge AI research with real-world product applications Architect and optimize on-device LLM models, ensuring efficient performance under computational constraints while maintaining personalization accuracy and privacy Translate research advancements into scalable, production-ready AI solutions, integrating seamlessly with consumer applications and devices Build and mentor a high-performing team of engineers and researchers, fostering a culture of innovation, collaboration, and technical excellence Engage with the broader research community, contribute to publications, and drive thought leadership in on-device AI, personalization, and ambient intelligence Required Skills: PhD (preferred) or Master's degree in Machine Learning, Natural Language Processing (NLP), AI, or a related field. or equivalent combination of education, training, and experience 14+ years of technical leadership experience, driving AI/ML research into real-world product applications Proven experience in LLM-based product experiences, personalization, and on-device AI Strong understanding of on-device machine learning, federated learning, and computational efficiency optimizations Expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and NLP model architectures (Transformer-based models, Distillation, LoRA, Quantization, etc.) Exceptional collaboration and communication skills, with a track record of partnering across research and product teams A passion for ambient intelligence and the future of intuitive, AI-powered experiences Special Attributes: Experience with edge computing, mobile AI frameworks (Core ML, TensorFlow Lite, ONNX Runtime, etc.), and privacy-preserving AI Contributions to top AI/ML conferences (NeurIPS, ICML, ACL, CVPR, etc.) Track record of building and scaling AI-powered personalization solutions Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range $224,200 - $365,000 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email *********************. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency #J-18808-Ljbffr

The role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design. At BigHat Biosciences, our full-stack antibody drug development platform uses ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes the development of complex, next-gen therapeutics ‘trivially parallelizable', at a pace that only accelerates as we develop better ML tooling. You're not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you'll apply your world-class ML skillset to refine and expand this state‑of‑the‑art protein engineering platform. Success will mean not only hands‑on methods development, but helping shape the direction for future ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics. Key Responsibilities Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies. Identify opportunities for improvement in our ML tooling, and help to set strategy for ML research, driven by a strong high-level understanding of real-world drug development challenges Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets. Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties. Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat. Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering. Provide technical guidance and mentorship to other ML and data science FTEs and interns. Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs. Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models to ongoing drug development programs. Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat's platform, and plan and prioritize ML methods development accordingly. Skills Knowledge and Expertise PhD in ML/CS or in the hard sciences with 5+ years experience developing and applying novel ML methods and a strong quantitative background. Publications in major ML conferences and/or leading journals, or extensive demonstrable track record developing and applying novel ML in industry. Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices. Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams. Enjoys a fast-paced environment and excels at executing across multiple projects. Familiarity with the current state-of-the-art in ML-driven protein engineering Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS. Total Rewards The salary estimated for this position is $233,000 - $266,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer. What BigHat Offers: Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived) Dental, and vision coverage through Guardian Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more 401(k) with company match DTO, two weeks of company-wide shutdown, and 12 company holidays Paid parental leave #J-18808-Ljbffr

An innovative biotech company is seeking a scientific innovator to lead research in generative AI for drug discovery. You will work on transforming AI models and collaborate closely with a diverse team to explore groundbreaking therapies. Candidates should have deep learning expertise, strong coding abilities, and a passion for innovation in healthcare. Competitive compensation and extensive benefits offered. #J-18808-Ljbffr

Employment Type Full time Department AI About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Therapeutics, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various levels of seniority: Senior, Staff, and Principal. You will Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems. Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas. Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art. Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform. Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation. You are A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods). An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion. A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models. A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary - only willingness to learn. A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. Nice to have's PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record. Hands-on experience with Pytorch, Pytorch Lightning, Ray Distributed Training, Pytorch Geometric, etc. Experience in distributed training and inference of large models on GPU clusters. Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data. Compensation, Benefits, and Perks Competitive compensation package that includes salary and equity. Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). 401(k) plan. Open (unlimited) PTO policy. Free lunches and dinners at our offices. Paid family leave (maternity and paternity). Life and long- and short-term disability insurance. About Genesis Therapeutics Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules. Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets. The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024). We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. What You'll Do Design and implement technologies that align our models to GM's mission. Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability. Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models. Conduct research and stay updated on the latest advancements in AI frameworks and libraries. Lead projects from ideation to deployment, documenting learnings and best practices along the way. Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement. Your Skills & Abilities Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact. Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines. Proficiency in frameworks such as PyTorch and languages such as python. Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams. Strong data processing skills using tools like Numpy, Pandas, and Apache Spark. Excellent communication skills to effectively collaborate with diverse teams and stakeholders. Experience deploying foundation models into production environments and understanding the end-to-end process. Previous experience in Robotics or Autonomous Driving. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #J-18808-Ljbffr

A leading technology company is seeking a Principal Applied AI Scientist to define AI and foundation models' strategic vision, lead groundbreaking research initiatives, and mentor technical talent. Candidates should have a PhD in Computer Science, 8+ years of industry experience, and proficiency in Python and deep learning frameworks. This role emphasizes collaboration, innovation, and the application of advanced AI for real-time data processing. Competitive salary and comprehensive benefits offered in a flexible work environment. #J-18808-Ljbffr

United States - California - Foster City Process/Product Development & Operations Regular The Associate Director/ Principal Scientist , Cell Culture Process Development (Pivotal & Commercial), will be responsible for leading aspects of cell culture development including commercial process development and process characterization for multiple biologics programs during pivotal phases (phases II/III and post-launch). In addition, this role is also expected to lead projects for cell culture process technology development, platform process evolution, and to support cell culture-related regulatory documentation. Key Responsibilities Optimize and characterize cell culture processes to supply pivotal trials and enable commercialization for monoclonal antibodies, multi‑specifics, and novel modalities. Lead and/or support entire lifecycle of pivotal activities including process risk assessment, process characterization, preparation of all supporting documentation/reports toward BLA submission, provide support to ensure successful process performance qualifications (PPQ), and author relevant sections of BLA. Lead and/or support technology transfer and investigation activities in partnership with the global manufacturing sciences and technologies (MSAT) group. Design experiments and perform hands‑on cell culture operations in shake flasks, ambr15, ambr250, bench‑scale bioreactors, and novel cell culture platforms. May provide support to pilot plant operation for up to 500 L single‑use bioreactor. Perform statistical analyses and appropriate modeling to assess process parameter criticality, identify acceptable ranges, and contribute to integrated control strategy. Author and review GMP and non‑GMP technical documents (reports, regulatory submissions/responses, batch records, SOPs etc.), present in group/cross‑functional meetings. Participate and work cross‑functionally within and outside of biologics technical development to achieve common goals. Explore, develop, and implement novel cell culture technologies to meet business needs. Manage direct and indirect reports and mentor junior group members while working in a flexible and agile environment. Some travel may be required to support technology transfers and provide oversight at external manufacturing facilities. Adhere to department budget and all training, compliance and safety requirements. Remain current on trends and new technology advancements across the Biopharmaceutical industry. Hire, mentor and develop team members within the organization to help build and grow a world‑class biologics cell‑culture process development organization. Qualifications Ph.D. with 5+ years OR M.S. with 8+ years OR B.S. with 10+ in a relevant scientific discipline (biology, bioengineering, chemical engineering, biochemical engineering). Experience leading pivotal stage cell culture process development/characterization and implementation in GMP facilities. Experience in building high‑performing teams through strategic coaching and feedback. Hands‑on laboratory operations experience including shake flask, high‑throughput bioreactor, bench scale bioreactor, and pilot scale cultures. Excellent communication, technical writing, and presentation skills and aptitude for creative problem solving. Demonstrated ability to collaborate and influence cross‑functionally. Experience in cell culture media development, and/or employing modeling techniques for upstream process development and optimization is preferred. Experience in statistics, design‑of‑experiments, and data analysis (e.g. JMP, Spotfire). Working knowledge of lab automation, data management, data science, knowledge management and data protection. Experience with viral vaccines is a plus. Passion for inclusion: knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way he/she/they work. #J-18808-Ljbffr

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

About the Role Our client - one of the most ambitious AI research labs is hiring ML Research Scientists, Cheminformatics! With offices based in California and New York, this team is unlocking groundbreaking therapies for patients with severe diseases. They work at the intersection of machine learning, physics, and computational chemistry to advance the development of small molecule drug discovery. Backed by top investors and founded by ex-Google/Stanford Scientists, they are scaling their Cheminformatics team. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs - Google/Meta/OpenAI/Stanford/Harvard/MIT Massive Compute - Unparalleled access to cutting-edge infrastructure Research - this is about making fundamental advances in deep learning, representation learning, and generative models. Developing SOTA models within active drug programs, taking the lead on model validation, deployment to drive the discovery of new medicines Real-World Impact - Your work won't sit in a paper; it will be deployed in groundbreaking AI systems Who We're Looking For: We're seeking top-tier ML research scientists, Cheminformatics with a strong track record of applying machine learning methods to advance small molecule drug discovery. Your Responsibilities: Cheminformatics expert skilled in molecular data and tools like RDKit and OpenEye. Experienced in experimental drug discovery assays and CADD workflows, from docking to ADME prediction. Proficient data scientist and applied ML engineer, fluent in Python, scikit-learn, and PyTorch. What We're Looking For: PhD in Cheminformatics, Computational Chemistry, Computer Science Expert in advanced modelling techniques, including GNNs, multitask modelling, active learning, and Bayesian optimisation. Experienced in large-scale data management, SQL, data pipelines, and robust approaches to molecule featurisation and model validation. Locations: San Francisco, New York City Package: Salary up to $350,000K + benefits and equity options. Ready to shape the future of AI? Apply now and join a team redefining intelligence.

We're hiring teammates at the intersection of AI/ML and chip design-people who love building, move fast, and care about doing excellent work. About the role You'll work at the boundary between our AI and hardware efforts to build systems that make chip design workflows better. You will: · Build and iterate on data generation (including synthetic data) for chip-design tasks · Train ML models · Design robust evaluation methodology · Integrate with hardware workflows · Collaborate closely with engineers across AI + hardware + software, and own projects end-to-end Locations: Bay Area (US) and Toronto (Canada) Work style: In-person (both offices have a vibrant, builder-heavy culture) About you You have baseline knowledge in both domains: 1. AI/ML: familiarity with deep learning + data/model development 2. Chip design: basic understanding of circuit design and SystemVerilog implementations And you have deep strength in at least one of: · Data pipelines / data engineering · Reinforcement learning (RL) · UVM · Formal verification · SystemVerilog (advanced) You're collaborative, take initiative, and can lead when needed. We care that you've shown you can do exceptional work. Examples: · You built a product or system that people used · You made major contributions to a respected codebase / repo · You've done meaningful work in a high-performing environment (such as top companies) · You shipped a standout project end-to-end · You have strong publications-or similarly rigorous proof of ability · Or anything else that clearly demonstrates you can execute at a very high level We love building. We want people who are passionate about their craft. We value a talent-to-ego ratio > 1. About us You'll join a highly collaborative team working on a difficult, exciting problem. Collectively, our team has: · Founded startups and scaled them to IPO · Led development of products used by millions · Earned 23,000+ scientific citations · Held leadership roles at places like Google, NVIDIA, Amazon, Synopsys, and more · Won medals in international science Olympiads If you're excited to tackle hard problems and build real systems, let's connect.

Job Title: Scientist II Duration: Until 01/26/2027 Required Skills Bachelor's degree in Molecular Biology, Cellular Biology, Microbiology, or a related field with 5+ years of relevant experience, or Master's degree in Molecular Biology, Cellular Biology, Microbiology, or a related field with 3+ years of relevant experience Experience with Aseptic techniques and Bacterial and/or Mammalian cell culture. Experience with Cloning techniques, including Plasmid design and preparation, restriction enzyme digestion, ligation, bacterial transformation, and Downstream processing. Experience performing Nucleic Acid Extractions (DNA/RNA), quantification, amplification Experience with LIMS software, electronic lab notebooks (eLN), and JMP is preferred

We are seeking an Associate Scientist to join Client's In Vivo Pharmacology team in Foster City and more specifically the group responsible to conduct ex vivo analyses related to in vivo studies in mice. The candidate will join an established group, playing a key role in providing a mechanistic understanding for in vivo pre-clinical studies in support of multiple programs utilizing engineered human chimeric antigen receptor T cells (CAR T cells). Responsibilities: · Characterization of immune parameters such as cell expansion and phenotype, from ex vivo blood samples from pre-clinical mouse studies with engineered human CAR T cells · Process and analyze ex vivo blood samples through flow cytometry, molecular biology and other analytical techniques · Check antigen expression by flow cytometry of tumor cell lines for use in in vivo studies · Work collaboratively in a cross-functional team environment · Present and participate in project team meetings and cross-departmental team meetings · Share core values such as passion, teamwork, integrity and trust Basic Qualifications: Master's Degree and 2+ years of scientific experience OR Bachelor's Degree and 4+ years of scientific experience OR AA Degree and 5+ years of scientific experience OR High School Degree and 6+ years of scientific experience Preferred Qualifications: · MS or BS in Biology or related discipline · 3+ years of experience with multi-color flow cytometry and complex fluorochrome-conjugated antibody panels · Immunology background, with experience in phenotypic analysis of multiple human immune cell populations and markers of activation/exhaustion · Experience in data analysis software including FlowJo, GraphPad Prism and BD FACSDiva · Experience in additional molecular biology techniques such as dd PCR · Demonstrated ability to independently conduct analyses while working efficiently as part of a team · Ability to multi-task, perform work with a high degree of integrity and attention to detail, and be part of an exciting fast-paced scientific environment · Strong organizational and time-management skills, thorough record keeping skills (documentation and electronic lab notebook, Benchling), strong ability to troubleshoot independently and to provide high-quality results through critical analysis and interpretation, excellent interpersonal, verbal and written communication skills

Senior Scientist Santa Clara, CA Pay rate: $40+ an hour Our clients long-term vision is to use digital technology as part of a holistic approach to surgery across the episode of care to enhance surgical efficiency, promote better clinical outcomes and increase patient satisfaction. This position will serve as a scientific contributor for the development and execution of preclinical evidence strategies necessary to competitively position a product for domestic and international regulatory and clinical acceptance. Responsibilities Include · Leads and supports product evaluations involving animate, inanimate, and cadaveric models · Performs research supporting development of products or procedures in minimally invasive robotic surgery · Assisting or conducting investigations for medical device development and preclinical evidence generation aligned to R&D, Regulatory, and Commercial needs · Coordinate and ensure accurate documentation of laboratory activities · Conduct lab activities in compliance with USDA, AAALAC, and Animal use policies · Ensure compliance with 21 CFR Part 58 - Good Laboratory Practices · Contribute and support the design of appropriate studies to meet premarket and post market needs · Design, plan and execute preclinical animal studies for the assessment of safety, performance, and effectiveness Act as study coordinator in support of the Study Director Act as Study Director projects of varying levels of complexity · Assess, communicate, and manage the risks associated to the preclinical evaluation of products. · Assist in appropriate interpretation and dissemination of all evidence generated, based on evidence dissemination strategy, including study reports, abstracts, manuscripts, etc. · Demonstrate the ability to work effectively in a team-oriented environment that embraces ownership and accountability for innovation, change, risk, and flexibility · Build successful relationships internally and develop partnerships with key business partners Qualifications · A minimum of a bachelor's degree in Biological Science or a related discipline is required. Experience and Skills: · A minimum of 5 years of related scientific / technical experience within preclinical research is required. · Experience in preclinical science and processes along with an understanding of medical device development processes, related healthcare market environment, clinical trends, and preclinical regulations is required. · Track record of contributing to preclinical programs on time, within budget and in compliance to SOPs and regulations is required. · Experience working in a GLP environment and direct experience executing preclinical studies · Understanding of good documentation practices · Familiarity with animal welfare regulations and IACUC Preferred: · Experience working in Medical Devices or Robotics is preferred · Experience working with large animal models is desired · Experience in support of global regulatory submissions for medical devices, biologics, or drugs (including PMA/BLA/NDA and/or their global counterparts) is preferred.

About Oxford BioTherapeutics Oxford Biotherapeutics is a clinical-stage biotechnology companyfocusing on the development of antibody therapeutics for the treatment of cancer.OBT'sOGAP-verify platform is the world's largest, cancer specific, membrane protein library, directly measuring plasma membrane protein expression in patienttumors. OGAP is used to identify novel, highlytumorspecific antigens for novel first-in-class ADC, T-cell Engager (TCE) and Chimeric Antigen Receptor (CAR-T) targets. Our lead asset, OBT076, is an Antibody Drug Conjugate (ADC) in Phase 1b clinical development. Our clinical and pre-clinical pipeline of novel biologics is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such as Roche, GSK, and Zymeworks. For further information, please see ***************************** Job Description We are seeking a motivated Sr. or Principal Scientist to join the Histopathology Lab within the Target Validation team in San Jose, CA. The role involves independently designing, troubleshooting, and executing histopathology workflows to evaluate oncology targets, and presenting findings to teams and partners. You will support target validation through IHC, IF, ISH, slide scanning, image analysis, and assay optimization, with a strong focus on IHC assay development, antibody screening, tissue processing (FFPE/FF), sectioning, and tissue-based assay implementation. Hands-on histology and oncology knowledge is required. Responsibilities Design and optimize chromogenic IHC assays using FFPE/FF samples; confirm specificity using orthogonal methods (e.g., ISH). Lead histopathology support for cancer target programs, including materials management, hands-on lab work, mentorship of junior staff, and timeline delivery. Present results, gather feedback, and implement next steps. Use literature and public datasets to guide assay development and target validation. Process tissues and cell pellets into FFPE/frozen blocks; section and stain samples using Leica Bond autostainers. Digitize slides, analyze results, and document data in ELN and presentations. Perform routine lab tasks: sample archiving, equipment maintenance, consumables ordering, logistics. Support tissue database and digital data organization. Required Qualifications and Skills PhD + 4 years, or Master's + 6 years, or Bachelor's + 8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting. Extensive (>3 years) hands-on experience developing, utilizing, and interpreting immunohistochemistry assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides. Extensive (>3 years) hands-on experience in laboratory histology, including preparation of tissue sample into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC and ISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays. Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays. Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development. Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues. Preferred Qualifications and Skills Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus. Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities. Relevant experience working with service providers and CROs in the histology space. Excellent organization skills, and evidence of previous success in a growing and fast-paced work environment. Experience regularly presenting IHC assay results in group settings. Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities. Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. Benefits Offered Medical,dentalandvisioninsuranceforemployeeanddependents FSA(FlexibleSpendingAccount) STD,LTD,BasicLifeandAD&DInsurance,SupplementalLife 401(k) Plan 120hoursofPaidTimeOff 5sickdaysperyear 11holidays EmployeeReferralBonusProgram Annualbonusprogram Newhirestockoptions Equal Opportunity Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status. All qualified applicants will receive consideration for employment. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. #J-18808-Ljbffr

An innovative biotech company located in San Mateo is looking for a Principal Machine Learning Scientist to advance therapeutic antibody design using cutting-edge ML technologies. The successful candidate will have a PhD and extensive experience in developing ML methods. Excellent mentorship opportunities and collaborations with diverse teams awaited. A competitive salary range is offered alongside comprehensive benefits. #J-18808-Ljbffr

About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Therapeutics, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various levels of seniority: Senior, Staff, and Principal. You will Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems. Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas. Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art. Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform. Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation. You are A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods). An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion. A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models. A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary - only willingness to learn. A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. Nice to have's PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record. Hands-on experience with PyTorch, PyTorch Lightning, Ray Distributed Training, PyTorch Geometric, etc. Experience in distributed training and inference of large models on GPU clusters. Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data. Compensation, Benefits, and Perks Competitive compensation package that includes salary and equity. Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). 401(k) plan. Open (unlimited) PTO policy. Free lunches and dinners at our offices. Paid family leave (maternity and paternity). Life and long- and short-term disability insurance. About Genesis Therapeutics Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules. Our team has created the industry\'s most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets. The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation and Gilead Sciences. We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA\'s VC arm), BlackRock, and Menlo Ventures. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real‑world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems to solve manipulation, autonomy, and simulation challenges at an industrial scale. As a Principal Applied Scientist, you will define technical direction, create breakthrough robot learning methodologies, and drive the execution of large‑scale initiatives that deliver end‑to‑end manipulation policies. You will architect new model families, lead cross‑functional research efforts, and guide teams in transitioning scientific advances into reliable robotic capabilities deployed in real systems. What You'll Do Define the research strategy and technical roadmap for embodied manipulation policies that span perception, training, control, and deployment. Invent or advance robot learning architectures (e.g., diffusion‑based policies, ACT‑style agents, multimodal embodied transformers) to enable robust dexterous manipulation. Architect end‑to‑end policy systems from multimodal sensing to hardware control, across simulation and real environments. Establish standards for data generation, demonstrations, simulation fidelity, evaluation, and sim‑to‑real adaptation for manipulation tasks. Guide cross‑functional efforts to scale robot learning from prototypes to production, including reliability constraints, observability, and performance guarantees. Mentor scientists and engineers, influence hiring, and shape research priorities within the organization. Represent GM in external communities (e.g., CoRL, RSS, ICRA, NeurIPS), pursue collaborations, and drive thought leadership in embodied AI. Required Qualifications PhD in a relevant STEM field, with a recognized track record in robotics, robot learning, or embodied AI. Significant experience designing and deploying robot learning systems on physical hardware, including manipulation tasks and real‑time policy execution. Expertise in modern AI architectures (Transformers, diffusion models, VLM/VLA agents, imitation learning, offline RL) and ability to extend them to new embodied scenarios. Mastery of PyTorch, including model internals, performance optimization, distributed training, and debugging complex failures. Hands‑on experience with ROS/ROS2, motion planning stacks, and integration of ML components into robotic platforms. Evidence of high‑impact contributions: top‑tier publications, influential open‑source efforts, field deployments, or foundational algorithms. Proven ability to lead ambiguous multi‑disciplinary research programs and deliver tangible embodied AI outcomes. Preferred Qualifications Experience establishing research agendas in robot learning or dexterous manipulation that resulted in widely adopted systems or protocols. Leadership of projects involving perception → policy → control integration, staged training, or multi‑robot deployment. Deep expertise in at least one advanced area: Dexterous manipulation / affordance‑driven action Multi‑step task sequencing / long‑horizon reasoning Offline RL or imitation learning at scale Physics‑informed or tactile‑informed policies Foundation models for embodied agents Strong industry or academic presence: invited talks, program committees, major open‑source contributions, or collaborations with robotics research institutions. Why Join Us You will shape how robots behave in the physical world-designing the foundational learning systems that enable dexterous, autonomous manipulation across GM's future robotics platforms. Location This role is categorized as hybrid. The successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business. Compensation Compensation information is a good‑faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 259,000 to 320,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Relocation This job may be eligible for relocation benefits. #J-18808-Ljbffr

About the Role Our client - a frontier AI research company at the cutting edge of molecular design is hiring AI Research Scientists, Computational Biology, to join their growing research team. Founded by researchers and operators from leading AI4Biology labs and top technology companies, the team is building next-generation models that move beyond benchmarks into real-world therapeutic development. Backed by world-class investors, including Thrive Capital, Dimension, OpenAI, Amplify, they are scaling their research efforts to tackle some of the most challenging problems in drug discovery. Why Join? Frontier Research - Work alongside world-leading researchers pushing the boundaries of AI for molecular and biological modelling Real-World Deployment - Your research will be translated directly into active discovery programmes, not left on a shelf Technical Depth - Tackle open-ended scientific problems involving large-scale models, complex biological data, and first-principles reasoning Meaningful Impact - Help design technologies that have the potential to change how new therapies are created Who We're Looking For: We're seeking exceptional PhD Grad to Senior-Level AI Research Scientists, Computational Biology, with a strong research background and a drive to apply cutting-edge machine learning to real therapeutic challenges. Your Responsibilities: Conduct original research on ML methods for molecular and biological modelling Develop, train, and evaluate advanced deep-learning models for small molecules, antibody, proteins, or related systems Design modelling experiments to answer ambiguous scientific questions Collaborate closely with experimental scientists to translate model outputs into actionable insights Support validation, iteration, and deployment of models used in live discovery workflows What We're Looking For: PhD in Machine Learning, Computational Biology, Bioinformatics Strong research track record through publications, projects, or demonstrable impact Proficiency in Python and deep-learning frameworks (e.g. PyTorch) Experience working with molecular, chemical, or biological datasets Familiarity with advanced modelling techniques such as representation learning, generative models, multitask learning, or uncertainty-aware methods Locations: San Francisco Package: Salary up to $350,000K + benefits and equity options Ready to help shape the future of AI-driven drug discovery? Apply now.