Associate scientist jobs in Vacaville, CA

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

Senior Research Scientist - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for Senior Reinforcement Learning Research Scientist to build reinforcement learning systems that drive real-world experimentation and tool orchestration. What Will I be Doing: Create and maintain RL environments for optimizing tools, experiments, and process workflows using both simulations and digital twins. Develop safe RL strategies, reward structures integrated with verifiers, and frameworks for moving from offline training to robust online behavior. Define state and action representations and enforce constraints for reliable, long-horizon decision-making. Partner with LLM researchers, agent engineers, and simulation teams to integrate RL agents into live experimental systems. What We're Looking For: Expertise in reinforcement learning, optimal control, or sequential decision-making, with experience applying RL to complex real or simulated systems. Familiarity with safe RL, constrained RL, verifier/detector integration, or multi-step policy evaluation frameworks. Demonstrated ability to build RL environments, design reward structures, and diagnose policy behavior at scale. Comfortable working across ML, simulation, systems engineering, and physical-toolchain interfaces in a fast-paced research environment. What's in It for Me: $200-$300k and meaningful equity Ownership of cutting-edge RL systems deployed in real-world experimental workflows Work at the cutting edge of AI, robotics, and experimental science Contribute to building the world's first physical superintelligence Apply now for immediate consideration!

A frontier-stage research group is building a new class of AI systems designed to reason, plan, and act across the physical world. Their mission is to create intelligent agents capable of experimenting, engineering, and constructing in ways that dramatically accelerate scientific and industrial progress. This team combines deep technical pedigree with real-world wins at scale, including major government-funded initiatives. They operate where advanced model research meets robotics, simulation, and automated engineering systems, offering the kind of impact only possible when first-principles science meets ambitious execution. Joining means stepping into a high-ownership environment where you shape core capabilities end-to-end, influence the direction of physical-world intelligence, and help build technology the world has never seen before. Why This Role Is Compelling Work on cutting-edge reasoning, planning, and tool-use models that directly control autonomous engineering systems. Push the limits of SFT, RLHF, DPO, verifier-guided RL, and long-horizon planning in a setting where your research immediately translates into real-world capability. Operate in a high-velocity research culture with exceptional peers across agent systems, simulation, data, and complex toolchains. Have outsized ownership in a small team tackling one of the most ambitious technical problems of this decade. Role Overview The team is looking for an LLM Research Scientist to pioneer next-generation reasoning and agent architectures. Your work will span model design, alignment strategies, structured tool orchestration, and experimentation with agents interacting across real engineering workflows. This position blends deep research with hands-on systems integration, offering both autonomy and scope to lead foundational progress. Key Responsibilities Develop advanced models and prompting systems for planning, multi-step reasoning, and structured tool use. Lead training initiatives across SFT, RLHF/DPO, verifier-guided RL, and modular expert architectures to strengthen robustness and controllability. Define schemas, tool-calling strategies, policy constraints, safety mechanisms, and recovery pathways for agent behavior. Partner closely with engineering, simulation, and data teams to test, train, and evaluate models embedded in real production-like toolchains. Qualifications Significant experience in LLM research, agent reasoning models, or structured tool-use frameworks. Strong background working with SFT, RLHF, DPO, or reinforcement-learning-from-verification methods. Demonstrated ability to design, analyze, and improve long-horizon behaviors and decomposition strategies. Comfortable working across ML research, systems engineering, and real-world experimentation in a fast-moving environment. A track record of excellence and ownership in technically demanding domains.

Employment Type: Full-time Available Positions: 1 Application Deadline: Dec 22, 2025 The LCMS Principal Scientist will be responsible for supporting non-GLP, GLP (non-clinical), and GCLP (clinical) projects. The role is responsible for supporting lab operations in a non-GLP area. Key Activities Independently conduct LC-MS method development for biologics (e.g., ADC, mAb, protein, peptide, oligonucleotide, etc.) in support of developability assessment, comparability assessment, in-depth characterisation, biotransformation, and CQA-related analysis. Present and interpret data internally and/or externally as needed. Serve as Subject Matter Expert (SME) for the LCMS platform. Serve as the Principal Investigator responsible for interaction with the client from the study design to scheduling, conducting, reporting, and transferring data. Ensure responsiveness to the client, timely delivery, and overall customer satisfaction. Provide oversight of the laboratory, mentor junior staff, and collaborate to keep improving operational excellence. Assist in establishing and improving policies, procedures, work instructions and SOPs. Understand and adhere to corporate standards regarding code of conduct and Environmental Health & Safety (EHS). Perform other related duties as assigned. Preferred Skills Supervisory experience in both project and talent (people) management is preferred. Ability to work independently and pay close attention to details. Educations & Experience PhD, M.S., in Chemistry, Biochemistry or related scientific fields required, including a minimum of 4+(Ph.D.) or 9+ (Master's) years of CRO/Pharma/Biotech experience. Hands-on experience with high-resolution LCMS method development and in-depth characterization. Are you looking for your next opportunity? We can help. Finding a great opportunity that fosters growth, a great culture, and leadership opportunities can be difficult. Top Quality Recruitment (TQR) connects professionals with leadership opportunities across the Packaging, Food and Beverage, Medical Devices, and Biotechnology industries. With 50+ years of experience, we believe in one-to-one communication and finding the best candidate/employer match possible. TQR is an equal-opportunity employer that encourages diversity. We will consider all applications. Accommodation for applicants with disabilities is available upon request. Are you looking to hire? Get started here: ****************************************************** See hiring advice: ******************************************* See all available opportunities: ******************************************* We thank all applicants for their interest and appreciate the time and effort involved; however, due to the large volume of resumes received only those candidates selected for an interview will be contacted. Please attached your resume to your application. Job ID: 8083

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: Method Development, Qualification, and Validation: Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines. Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy. Sample Analysis: Support drug absorption, distribution, metabolism, and excretion studies. Perform analysis of AAVs, cells, and tissues to support various stages of research and development. Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks. Documentation Reporting: Draft and review key documents such as SOPs, method development, and sample analysis reports. Maintain accurate and detailed records of all experiments and analyses. Collaboration & Communication Collaborate with manufacturing and preclinical teams to support pipeline needs. Communicate and present findings clearly to internal stakeholders. Qualifications: B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field. 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry. Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, dd PCR, and ELISA. Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL. Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.). Background in RNA-based therapies is highly desirable. Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.) Knowledge of FDA and ICH guidelines for method development, qualification, and validation. Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams. Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. Team-oriented thinking. Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: The Research and Development organization is embedded within each of our Clorox businesses, taking new generations of consumer products from concept to reality. With such diverse roles as engineers, scientists, packaging experts, and technicians R&D is a community of technical leaders and managers actively involved in virtually every step in the lifecycle of our products, from initial concept to raw materials to final goods on store shelves. R&D is committed to leveraging the latest technology to bring consumers the high-quality, innovative products they expect and deserve. In this role, you will: As an R&D Product Development Scientist 2 at Clorox you will play a pivotal role in driving technical excellence and ensure superior product innovation across our Consumer Products and Professional Products portfolios. You'll apply your PhD-level expertise to develop and optimize product formulations that meet the needs of diverse end users from everyday consumers to hospital disinfection. Collaborating cross-functionally with teams in Marketing, Sales, Insights, Microbiology, Analytical Chemistry, and Digital Data, you'll translate scientific insights into impactful product solutions. You'll make a difference from day one, contributing to products used by millions of people while growing your technical and leadership skills working on some of the most trusted brands in the consumer goods industry. In this role you will: Drive Innovation: Develop and refine novel product formulations that deliver a superior product experience, while also creating consumer and customer facing claims and demos Execute with Excellence: Troubleshoot formulation challenges and make relevant measurements to generate data that supports technical solutions and translates them into business impact, while maintaining product specifications, formulation standards, and technical documentation to ensure consistency and compliance. Own the Technical Details: Identify and document novel technical solutions and formulation approaches that may be eligible for intellectual property protection and ensure Clorox's competitive advantage. Support Commercialization: Develop and apply SOPs, test methods, and best practices while leading product and consumer testing, and continuously research ways to evolve and improve R&D tools and approaches to ensure consumer delight and successful product launches. Collaborate Across Functions Work closely with Marketing, Sales, Digital Data, Insights, and cross-functional R&D teams to analyze problems from multiple points of view and connect disparate ideas to create innovative solutions, proposals, and concepts. Grow your Career: Be part of a team that values playing to win, technical curiosity, and raising the bar where your contributions help shape the future of Product Innovation at Clorox. What we look for: Ph.D. Chemistry, Chemical Engineering, or a related field Candidates must have education and expertise in at least one of the following areas: Aqueous oxidants, kinetics, and equilibria for cleaning, bleaching and antimicrobials Organic chemistry, aqueous surfactants, colloids, and interfacial science for household product formulation. Water soluble polymers for household product formulation. Experience in evaluation, characterization, and measurement of technology in their area of expertise Confident self-starter, critical thinker, capable of working independently and cross-functionally with minimal supervision and direction in a fast-paced environment. Workplace type: Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Who Are We? Postman is the world's leading API platform, used by more than 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration-enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios. What You'll Do * Lead research and development of novel training methodologies and architectures for small and efficient language models. * Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models. * Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies. * Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications. * Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously. * Mentor and support cross-functional teams on applied machine learning methods and best practices. * Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows. * Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards. About You * Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models. * Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX. * Deep understanding of language model architectures, training techniques, and optimization strategies. * Experience with distributed training, data pipeline design, and scalable AI infrastructure. * Passion for AI safety, interpretability, and delivering user-centered AI technology. * Excellent communication skills with proven ability to collaborate across research, engineering, and product teams. Preferred * Prior experience working with large and small language models in production or research settings. * Background in reinforcement learning, prompt engineering, or transfer learning techniques. * Experience with developer tools, APIs, or frameworks related to AI model integration and delivery. * Knowledge of AI alignment, fairness, and ethical AI training methodologies. The reasonably estimated base salary for this role ranges from $250,000.00 to $276,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We're building a long-term company with an inclusive culture where everyone can be the best version of themselves. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Hyderabad, London, and New York, employees are expected to come into the office 3-days a week. We were thoughtful in our approach which is based on balancing flexibility and collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our hybrid office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom. Our Values At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can. Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists. Responsibilities Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design Curate relevant datasets and design tasks for rigorous evaluation of generative models Collaborate with Biology team to design and characterize novel designed biomolecules Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company Qualifications PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field Experience with conceiving of, implementing, and evaluating novel machine learning techniques Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) Experience with modern deep learning frameworks such as Pytorch or Jax Preferences (but not required) Familiarity with foundational biology of proteins and nucleic acids Experience developing machine learning models for proteins (language models, structure prediction, design) Previous experience in data extraction and curation from bioinformatics data sources Familiarity with wet lab experimental assays and associated limitations Experience with cloud compute platforms (GCP, AWS, Azure) What we offer at Profluent A high-growth opportunity with meaningful impact Competitive compensation package Health insurance (health/dental/vision) Generous paid time off (PTO) policy Commitment to physical and mental well-being More benefits and perks to be added! Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law. Employment Eligibility Verification Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire. Hiring Salary Range$150,000-$200,000 USD

At Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee-ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston continues to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. This EHS Associate Scientist role supports Environmental Health & Safety (EHS) initiatives as a hands-on technical contributor, working either as part of a consulting team or embedded with client staff. You'll help design and implement EHS programs, conduct assessments, and provide regulatory guidance, while also beginning to support business development and client relationship management. The position involves solving routine EHS challenges, preparing reports, coordinating logistics, and may include mentoring junior staff-all with a strong focus on delivering high-quality service and building client trust. Location: California Expected Outcomes: * Conduct facility inspections, sampling, and assessments to identify hazards and ensure regulatory compliance. * Develop, implement, and maintain EHS programs, procedures, and documentation. * Investigate incidents and recommend corrective actions. * Provide regulatory guidance, technical support, and onsite safety services. * Deliver EHS training and support ergonomic evaluations. * Independently plan and prioritize work; coordinate with teams and manage logistics. * Analyze data to support decision-making and regulatory interpretation. * Prepare accurate reports and proposals aligned with quality standards. * Communicate professionally with clients, regulators, and internal teams. * Support business development through client engagement and proposal contributions. * May supervise or assist junior staff. * Adhere to company policies and ensure high-quality deliverables. * May require travel, use of PPE, and work in physically demanding or hazardous environments. Knowledge, Skills & Abilities: * Bachelor's degree in science/engineering or equivalent experience. * 1-5 years of relevant EHS experience; advanced degrees may substitute. * Should hold or be actively working toward: ASP, CHMM, CBCA, EIT. * Strong knowledge of EHS regulations, environmental issues, and permitting. * Familiarity with health & safety programs, industrial hygiene (IH), ergonomics, and emergency response. * Experience with regulatory agencies (OSHA, EPA) and ISO standards. * Skilled in environmental sampling, data analysis, and technical reporting. * Strong communication, presentation, and teamwork skills. * Proficient in Microsoft Office and relevant tools. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off including personal, holiday, and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.

Job DescriptionE11 Bio is on a mission to unlock whole-brain mammalian connectomics. We're a collaborative and interdisciplinary team of scientists and engineers developing an innovative technology platform for scalable brain mapping. E11 Bio is a non-profit focused research organization organized under the Convergent Research umbrella and located in Alameda, California. We are pursuing ambitious neuroscience research and operating like a nimble start-up while organized as a non-profit. Read our technology roadmap for more. Position E11 Bio is seeking a creative and passionate spatial ‘omics scientist to co-develop next-generation technology for high-throughput connectomic imaging using molecular barcodes. As a core member of the E11 team, you'll develop innovative methods for highly-multiplexed imaging of protein barcodes at the scale of mammalian brains. Working closely with world experts in cellular barcoding and computational connectomic reconstruction, you'll design spatial ‘omics and barcode detection experiments, collect, analyze, and interpret multiplexed image data, and present or publish open scientific results for public benefit.Responsibilities Develop proteomics methods (e.g. based on oligo-conjugated antibodies) for highly multiplexed detection of antibodies in expansion microscopy using combinatorial imaging. Develop robust signal amplification methods (e.g. rolling circle amplification, hybridization chain reaction) for detection of protein-based cellular barcodes and molecular markers at proteomic scale in swellable hydrogels. Design probe sets and combinatorial imaging experiments (e.g., in situ sequencing, MERFISH) compatible with expansion microscopy to detect cell barcodes in brain tissue. Integrate and apply automatic liquid handling and automatic fluorescence imaging methods in a robust and reproducible pipeline. Process and analyze multiplexed image volumes, including stitching and registration across imaging cycles, and feature detection, decoding and classification. Work closely with experimental and computational scientists at E11 and through external partnerships to collaboratively design experiments, analyze experimental data, and interpret results. Maintain excellent laboratory notebook practices, prepare reports and manuscripts, and present results internally and externally, and source new techniques from the scientific community. Required Qualifications PhD in biology (e.g. biophysics, bioengineering, molecular biology) or a related field in science and/or engineering, or equivalent working experience and track record. Scientist I: 0-3 years of experience post-PhD, or equivalent industry track record; Scientist II: 3-6 years of experience post-PhD, or equivalent industry track record. Experience with 3D spatial transcriptomics (e.g. in situ sequencing and/or multiplexed hybridization) and/or spatial proteomics (e.g. multiplexed DNA-barcoded antibodies). Extensive experience with spatial methods/protocol development, with emphasis on DNA-based readout such as HCR or RCA. Experience with fluorescence microscope modalities, including spinning-disc confocal microscopy. Experience with molecular biology laboratory techniques, e.g. cell and tissue culture, molecular cloning, quantitative PCR, immunohistochemistry, etc. Preferred Qualifications Experience with expansion microscopy and/or hydrogel embedding for expansion microscopy. Experience with fluidics for multiplexing, microfluidics, and automation. Experience with computational image analysis methods for combinatorial imaging Excellent communication skills, record keeping ability, and attention to detail. Excellent interpersonal and collaboration skills. Strong record of publications in peer reviewed scientific journals. You will love this job if… You are excited by applying cutting edge spatial ‘omics technology to an effort that could broadly benefit humanity. You are driven by mission and enjoy working among a team focused on a shared audacious goal. You enjoy the energy of a small team and the exploration of a wide open, uncharted space. We offer An opportunity to help change the world and work with some of the most talented and collaborative experts across scientific fields. An opportunity to gain experience on a field-defining moonshot effort. Excellent medical, dental, and vision insurance through a PPO plan; parental leave. Generous time off + paid holidays. Ample healthy and energizing food including daily lunches. Wellness allowance for fitness and wellness activities. Scientist IBase salary range: $82,000 to $123,000 annually Bonus: Performance-based, up to 20% of base salary Total potential compensation: $98,400 - $147,600 annually Scientist IIBase salary range: $94,000 to $141,000Bonus: Performance-based, up to 20% of base salary Total potential compensation: $112,800 - $169,200 annually Offers are normally made at the lower portion of the range, enabling employee growth within the range over time. Scientist I positions normally require 0-3 years of post-PhD or equivalent industry experience; Scientist II positions normally require 3-6 years of post-PhD or equivalent industry experience. Final base pay for a given candidate may differ based on factors such as prior experience, education and training, market trends, and skillset, and additional qualifications. The listed range refers to salary only. The total compensation package also includes a health and wellness stipend, matched 401K contributions, corporate holidays, flexible employee vacation, and other benefits.E11 Bio, LLC is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Experience level: PhD or equivalent work experience We're seeking an exceptionally talented and driven Scientist (5+ years of experience) to join our team and push the boundaries of reproductive biology. You will work on developing, and optimizing in vitro gametogenesis protocols using non-human primate (NHP) models, with the goal of building a robust pre-clinical data package. Your work will directly contribute to the safety studies, paving the way for translating human in vitro gametogenesis into clinical applications. Our mission Conception is pioneering the future of reproductive biology by generating functional human eggs from induced pluripotent stem cells (iPSCs). Successful development of our research could have many benefits, such as removing age limits on motherhood, allowing for easy screening of eggs with harmful genetic mutations, and allowing same-sex couples to reproduce. We are building a world-class team at the intersection of stem cell biology, developmental biology, and synthetic biology to make this vision a reality. What you'll do * Generate and culture ovarian organoids and follicles derived from NHP models * Drive experimental design, troubleshooting, and protocol development for in vitro gametogenesis * Work towards generating safety studies, potentially including live-birth NHP studies * Analyze data, present findings internally, and contribute to pre-clinical regulatory packages What we're looking for * Proven expertise in organoid cultures and/or iPSC differentiation (required) * Experience with one or more of the following is highly desirable: * Large-scale sequencing datasets (e.g. 10x sc RNAseq) * Immunofluorescence analysis * FACS sorting * Microdissection and micromanipulation * Strong scientific foundation and a track record of executing complex experiments with rigor. Experience in developmental biology or regenerative medicine is a plus. * Mission-driven mindset and enthusiasm for high-impact work * Excellent communication, organization, and collaboration skills * Meticulous attention to detail and record-keeping We value passion, curiosity, and determination as much as experience. If you're inspired by the challenge of building the future of reproductive medicine, we'd love to hear from you. Come and work with us We are well funded and well connected in Silicon Valley. We offer competitive pay, company equity, and excellent healthcare benefits for these positions. To learn more about the original mouse proof of concept to live birth that inspired us, see *******************************************

Our client's Pathology Biology & Integrated Analytics group is seeking a highly motivated Scientist for molecular cloning, cell culture, FPLC purification and antibody engineering and characterization. The qualified candidate will join a team of scientists focused on monoclonal antibody development for IVD and CDx assay. This position will be actively participating in antibody development, engineering, production and characterization. Job function requires the ability to evaluate, summarize and report study results, make independent decision and collaborate with teams at multiple sites. Responsibilities: Plans and/or manages smaller, less complex local projects (e.g. with moderate project management complexity, problem definition, and/or short to medium term implications). Participates in project teams across the R&D department and functional groups Can represent the Team Lead in project teams in his/her absence on instruction Ensures that quality standards are met and plans and coordinates the performance of tasks largely independently. Is aware of new developments in the field and refers to the possible use of these in diagnostics. Contributes to collaboration and close networking within the departments as part of R&D projects. Analyzes and interprets the R&D results largely independently and presents them to the relevant committees within their own function. Uses specified strategies to resolve problems and acts within defined guidelines.

Our client, a world leader in diagnostics and life sciences, is looking for a "Scientist I (Clinical Laboratory)" based out of Pleasanton, CA. Duration: Long-Term Contract Key Roles and Responsibilities: • Responsible for performing high complexity laboratory testing on clinical specimens, interpreting and reporting results and complying with study protocols, IRBs , Manuals of Operations, Test Instructions, and related Code of Federal Regulations and ICH guidelines. Participates in scientific studies and activities supporting registrational and non-registrational clinical trials. • Under general supervision, support aspects of panel build and sample processing projects adhering to required standards to produce Test Panels and Sample Sets for use in Clinical Validation Studies. • Supports the laboratory's participation as a Clinical Testing Site through performing Clinical Validation testing Qualifications/experience required: • Bachelor's degree in Biological/Life Sciences, Chemistry, Biochemistry or related field. Experience: • 0 years work experience required, 1-2 year preferred of relevant industry experience, including experience in participating clinical research work within a laboratory. • Required minimum 1 year of basic laboratory experience in either academic or industry setting. • Demonstrated laboratory skills (pipette handling, understanding protocols, familiarity with safely handling biological and potentially hazardous materials) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Interested! Please apply or send your resume to ********************** / ************************.

As a Temporary Scientist III, you will perform a variety of routine and complex analytical experiments using advanced laboratory techniques and instruments. You will operate, maintain, and troubleshoot analytical equipment, ensuring accurate analysis of raw materials, intermediates, drug substances, and drug product samples. Responsibilities * Perform experiments to support drug substance and drug product development and release of finished products. * Analyze data acquired to draw conclusions based on statistical analysis and established quality control criteria. * Document work in ELN in compliance with company procedures and Good Documentation Practices. * Commit to laboratory safety and adhere to best practices. * Coordinate with service engineers and facilities team to schedule maintenance of analytical instrumentation. Essential Skills * Bachelor's or Master's degree in chemistry or related field with an emphasis in analytical chemistry. * One to five years of chromatography experience in the pharmaceutical analytical field. * Knowledge and experience in developing and qualifying methods utilizing Agilent liquid chromatography instruments. * Strong willingness to learn, adaptability, and ability to take on new challenges. * Excellent written and verbal communication skills. Additional Skills & Qualifications * Good interpersonal skills. * Flexibility in a fast-paced environment. * Ability to work well within a team environment. Work Environment This is a full-time, on-site position with no travel required. The work environment is dynamic, encouraging teamwork and commitment to safety protocols. Job Type & Location This is a Contract position based out of Alameda, CA. Pay and Benefits The pay range for this position is $60.00 - $65.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Alameda,CA. Application Deadline This position is anticipated to close on Dec 18, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

About Multiply LabsMultiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at ******************** and follow us on LinkedIn. About this Role We are seeking a highly motivated scientist who will contribute significantly to the advancement and validation of our automated processes. This role primarily involves hands-on laboratory work, where you will directly contribute to improving the efficiency, accuracy, and reliability of our robotic systems. This will provide you with a deep, intimate understanding of the intricacies of our technology. Beyond the lab, you will also serve as a key Multiply Labs representative during system deployments at customer sites. This will involve working directly with clients to ensure seamless integration and optimal performance of our robotic solutions, offering an exciting opportunity to apply your expertise in real-world settings and to contribute directly to customer success. Essential Duties & Responsibilities Experiment Planning and Execution: Assist in experiment design and execution, perform statistical analysis, and present data. Cluster Deployment Support: Act as the onsite biology team representative during the deployment of robotic systems at both domestic and international customer sites. This includes providing assistance and training to customer personnel on automated processes. Cross-functional Collaboration: Work with other teams in improving and implementing automated processes. Laboratory Maintenance: Assist with routine laboratory tasks, such as maintaining cell cultures, equipment, inventory, and documentation. Minimum Qualifications Degree in a relevant scientific discipline (e.g., cell and molecular biology, biochemistry, immunology, biomedical engineering): Bachelor's degree and 4+ years of relevant experience; OR Masters' degree and 2+ years of relevant experience Proficiency in an experimental biology laboratory, including: Hands-on experience performing experiments Data analysis and interpretation of results Ability to plan and execute experiments independently Expertise in common laboratory techniques (e.g., cell culture, media preparation) Familiarity with standard safety procedures and sterile techniques (e.g., proper PPE, aseptic handling) Effective troubleshooting of experimental issues and technical failures Proficiency in aseptic techniques: including working efficiently within a Biological Safety Cabinet (BSC), proper handling of sterile reagents and supplies, and routine visual and microscopic monitoring to prevent microbial and cross-contamination of cell lines. Proficiency in human blood processing, including: Experience in handling and manipulating whole blood or apheresis-collected components (e.g., PBMCs, stem cells) Post-collection processing for downstream cell expansion protocols (e.g., isolating specific cell populations, immediate culture initiation, or cell cryopreservation) Proficiency in T cell isolation from peripheral blood or apheresis products using both positive and negative selection methods, coupled with experience in T cell activation and expansion protocols Proficiency using Google Workspace for managing large collaborative data trackers (Sheets) and creating formal technical reports (Docs/Slides) Proficiency using GraphPad Prism to independently perform advanced statistical tests (e.g., ANOVA) and generate publication-quality data figures Possess excellent verbal and written communication skills with the ability to clearly convey complex scientific information (including customer processes and technical requirements) to both scientific audiences and non-scientific internal staff to ensure alignment and effective collaboration Flexibility and adaptability in the face of changing priorities and schedules Organizational skills, time management, administrative, and data recording skills. Ability to prioritize tasks, multi-task, and coordinate work tasks with others and meet multiple deadlines. Ability to travel to international and domestic customer sites as needed. Ability to stand for long periods of time and move comfortably in confined systems within our robotic systems (~2.5m x 1m, with further restrictions depending on robot location). Preferred Qualifications Hands-on experience working within a GxP (GLP/GMP/GCP) laboratory environment, with a proven ability to consistently follow Standard Operating Procedures (SOPs) and maintain meticulous records. Familiarity with FDA and EMA regulations and guidance concerning documentation, data integrity, and quality control systems relevant to the development and manufacturing process. Proficiency in the operation, programming, and troubleshooting of laboratory automation equipment (e.g., liquid handlers) and closed, automated cell therapy manufacturing platforms (e.g., CliniMACS, Rotea). Physical & Working Conditions Ability to lift up to 25 pounds (e.g., equipment, materials) and lift up to 5 pounds overhead. Ability to stand or sit for long periods of time while performing lab tasks, operating specialized equipment, using a microscope, and analyzing data/preparing presentations; this includes the potential need to stand inside a robotic cluster for maintenance or intervention when necessary. Ability to reach, stoop, crouch, and kneel while performing lab tasks; this includes the potential need to crouch or kneel inside a robotic cluster for maintenance or intervention when necessary. Must possess excellent manual dexterity and fine motor skills for repetitive tasks such as precise pipetting, small-scale cell culture manipulation, and operating complex instrumentation. Work is primarily performed in a laboratory setting which requires strict adherence to safety protocols (e.g., Biosafety Level 2). Potential exposure to hazardous materials, including biological agents (e.g., human samples, cell lines) and cryogenic materials (e.g., liquid nitrogen). Required use of Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves for extended periods. This role requires the ability to work a standard schedule, but may necessitate occasional evening or weekend work to complete time-sensitive experiments (e.g., process dependent media addition or exchanges, sampling). Some roles may require on-call availability or work during non-standard business hours depending on the nature of the research or manufacturing schedule. Travel While our headquarters is located in San Francisco, CA, this position will require up to 25% domestic and international travel. Benefits 401K with 4% company match Health Insurance Dental Insurance Vision Insurance Life Insurance Partial Health Insurance for Child Dependents HSA or FSA Twice weekly catered lunch (for team members in SF office) Pre-tax Commuter Benefit 10 Paid Holidays Flexible PTO Paid Parental Leave Multiply Labs will review the benefit offerings periodically and the benefit options are subject to change to meet employee and business needs.ClosingWe take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life. Team Culture Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success. Job Summary We are seeking an experienced Applied AI Scientist to join our team. The person who fills this role will apply ML & AI principles and practices to large datasets of time-series data and associated metadata to create powerful encoding and decoding models to interpret and understand brain activity, which will drive scientific discovery as well as product implementations to have real-world impact on patients with physical disabilities. Key Responsibilities Modeling brain data and associated metadata to obtain insights into existing and future datasets and implement high-performance inference and translation pipelines Designing and creating state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices Keeping up with the latest AI techniques and being able to quickly assess the relevance and utility of these techniques, including with prototypical evaluations with company datasets Working collaboratively within a small team to explore and iterate on models, design the company's data-science platforms, and integrate ML models into product applications Maintaining versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products Required Qualifications Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field A minimum of 5 years of combined academic and professional ML experience Experience designing, developing, and deploying ML models in an industry setting with large-scale, distributed ML platforms Experience designing, training, and evaluating transformers Proficiency in Python and PyTorch Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines Preferred Qualifications Experience working with high-dimensional time-series datasets Experience working on medical or clinical applications Experience developing state-space models and foundation models Experience translating methods described in scientific publications to available datasets What We Offer An opportunity to work on exciting, cutting-edge projects to transform patients' lives in a highly collaborative work environment. Competitive compensation, including stock options. Comprehensive benefits package. 401(k) program with matching contributions. Equal Opportunity Employer Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees. Confidentiality All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

Chai Discovery builds frontier AI models to design molecules and transform how new cures are found. We are a craft-obsessed team setting out to re-architect drug discovery and save lives. The Chai founding team brought together leading researchers in this space and top silicon valley operators. Our founders led seminal accomplishments at top AI-for-biology programs and labs, co-invented protein language modelling, built state-of-the-art folding algorithms, and sold AI adopted by top-10 pharma companies. We are backed by top-tier investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and many more. About the role We're hiring a scientist with deep roots in drug discovery and antibody engineering who's ready to parachute into industry leading global biopharmaceutical partners and ensure that Chai's first engagements are wildly successful. You will help your counterparts understand the capabilities and limitations of our AI platform; devise + share best practices, tips & tricks; and generally be our number one power user & educator. You will dive deeply into our partners' drug programs, becoming an expert in their science and therapeutic concerns. You will be eyes & ears on the ground to help us sense opportunities waiting to be developed and get in front of any potential issues. Know our partners' problems better than they do. Help us understand how users think about our product, where they get blocked, what they love and what they don't. This is a chance to push the boundaries of drug discovery and help advance the most advanced AI drug design platform ever built. Immerse yourself in the technologies and methods that represent the future of industry. About you Our ideal candidate has a blend of scientific, relationship and communication excellence. You are a scientist with a deep biologics and drug discovery background. You operate with urgency and are innately curious about the promise of AI and computational methods more broadly-the more hands-on you have been, the better. You have a deep desire to push the limits of what's possible in therapeutic design and a restless drive to solve real-world problems. Exposure to startups or other intense environments is essential. Scientific Background: PhD or equivalent work experience in Biological Sciences, Protein Engineering, Biochemistry, or a related field. Hands-on expertise with design and characterization in antibody-based biologics. Nice to have experience across at least one advanced modality (e.g., bispecifics, TCEs, ADCs). Proficient in molecular-biology workflows: cloning, transient/stable expression (mammalian or yeast), purification, and quality control. Familiar with binding and developability assays, SPR/BLI, ELISA, flow cytometry, etc. The more experience with computational tools the better, and ideally exposure to emerging AI/ML technologies. Communication & Collaboration: Excellent at communicating with internal & external audiences, from research associates to executives. Strong relationship builder who innately builds trust and is a great listener. A pragmatic and collaborative problem solver. Mindset: Thrives under pressure. You like to be in the hot seat. Detail-oriented and fast-moving Curious Empathetic Ambitious We offer Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created. World-class people: work with world-renowned leaders in the AI x Biology ecosystem. Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed. Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy. Highly competitive compensation: we attract the best talent and compensate them accordingly.

About Us Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our models for retrieval, application, and code generation. The ideal candidate has a strong background in ML research and engineering, is comfortable working with both theory and production systems, and thrives in an environment where ideas turn into deployed infrastructure fast. This person should be excited to work on training methodology, optimization, evaluation, and model architecture at scale - and collaborate directly with infrastructure and product teams to get breakthroughs into production quickly. This role is best suited for someone who loves both mathematical elegance and real-world impact. Requirements Strong background in machine learning, deep learning, or related fields. 2+ years of experience working on ML research or production systems. Fluency in Python and frameworks like PyTorch or JAX. Experience with training and optimizing large or efficient models. Strong understanding of applied optimization, distributed training, or model evaluation. Familiarity with code models, retrieval systems, or language modeling a plus. Advanced degree (MS or PhD) in a quantitative field, or equivalent industry experience. Willingness to work in-person from our SF office in FiDi.