UNKNOWN

FEED

Founded by CRISPR pioneer and Nobel laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington, the company's ultracompact proteins are designed to enable in vivo gene editing in difficult-to-reach tissues utilizing both nuclease applications and new editing modalities beyond double-stranded breaks, including base editing and epigenetic editing. You'll be responsible for managing and improving the systems the research organization depends on every day: the data warehouse and models that connect assay results to decisions, the internal web applications scientists use to launch analyses and access their data, and the cloud infrastructure everything runs on.

YEAR

Mammoth Biosciences

Senior Software Engineer I, Research Informatics

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Youll build the platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows, partnering daily with lab scientists, ML scientists, and our microscopy team to turn research prototypes into validated screening workflows that run reliably at laboratory automation scale. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.

Insitro Inc

Staff Software Engineer, Imaging

FULL_TIME

For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Work Environment: At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging.

Exponent Inc.

Optical Engineer/Scientist (Ph.D.)

[AW]-iCims

Identify problems and troubleshoot a wide range of complex problems, lead research and analysis results, supports high level / complex physics related application and system issues in the lab and in the field when required. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor.

Applied Materials (Nasdaq: AMAT) is the leader in Materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. To support customers around the world, Applied Materials employs approximately 22,000 people in over 100 locations in 18 countries.

Applied Materials Inc

Physicist / Scientist IV (E4)

Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

Freenome Inc

Staff Machine Learning Scientist

Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success. This role reports directly to the Head of Research and is ideal for someone who is energized by cross-functional work and wants to understand how startups operate across research, data operations, and commercial teams.

Snorkel AI Inc

Research Scientist - Frontier Benchmarks

Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models. You should be comfortable operating with independence, learning unfamiliar technical domains quickly, working across disparate teams, and moving prototypes toward production with limited oversight.

Chaos Inc

Data Scientist

Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.

Institute of Foundation Models

Research Scientist – World Modeling, Data

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. Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, experience training and deploying models on AWS, and publications at major ML conferences.

BigHat Biosciences Inc

Machine Learning Scientist

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work.

OpenAI

Software Engineer, Life Sciences

Familiarity with LLM provider APIs (Anthropic, OpenAI, Azure OpenAI) and the engineering challenges of LLM integration (prompt management, output parsing, cost optimization, latency). Not just write tests but design the testing strategy: how we mock LLM APIs, how we run integration tests against staging, how we measure coverage, and how it all plugs into CI.

Kai Cyber

Principal AI ML Engineer

Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitros context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - thats our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent.

Full Stack Software Engineer, Lab Platform (LIMS)

The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA - the code of life. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46).

23andMe, Inc.

Sr. Software Engineer (Health AI And Machine Learning)

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Anthropic

Staff + Sr. Software Engineer, Scaling

Global Field Application Scientist Liquid Handling and Automation is responsible for supporting the successful evaluation, implementation, and continued adoption of CellXpress.ai, with primary ownership of liquid handling scripting, application support, and automated workflow development. It would be a plus if you also possess previous experience in: Previous Field Application Scientist, Field Application Specialist, or Applications Engineer experience supporting life science instrumentation, laboratory automation, or automated cell culture workflows.

Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide. Our world class brands are leaders in some of the most demanding and attractive industries, including life sciences, medical diagnostics, dental, environmental and applied solutions. Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage. We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200% over 25 years.
At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries. We're innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here you'll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders. Come join our winning team.
Danaher is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.

Danaher Corp

Sr. Global Field Application Scientist Liquid Handling and Automation

Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools - literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors - and we're just getting started.

Staff+ Software Engineer, Claude Science

Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the worlds top 50 biopharma. Our agents automate many parts of scientific work that take hours to weeks today: designing experiments, capturing data, analyzing data, and writing complex reports.

Benchling Inc

Software Engineer, Agents

Additionally, our team owns the Benchling MCP, which gives our customers' AI agents a governed way to interact with Benchling data, and Canvas Core, which allows users to render powerful, interactive, custom UI natively inside Benchling with the help of the AI Assistant. Our Extensibility Platform helps bridge that gap by letting customers, partners, and third-party developers build custom offerings for Benchling in the form of Apps and Extensions that can be installed into a tenant and offer highly customizable in-product experiences.

Software Engineer, Extensibility Platform

AI Platform scales SPREEAI's infrastructure: productionizing ML model checkpoints, running the API services behind the Partner Portal, optimizing inference serving, and giving ML Scientists training-as-a-service so they can iterate without managing infrastructure themselves. This role owns the ML lifecycle platform end to end: training pipelines, experiment tracking, CI/CD for models, monitoring, and data versioning, so ML Scientists can launch, monitor, and iterate on training runs without managing infrastructure directly.

SpreeAI

MLOps Engineer

We are looking for self-driven and talented engineers to revel in designing, developing machine learning based identity building and resolution which operates for extremely high volume (internet-scale), low latency systems to drive revenue to Amazon. In this role, you will: You'll build ML based solutions & infra that (1) handles supremely high scale (2) uses known models or optimized modes by collaborating with scientists (3) functions with our highly distributed components and (4) validate them in production WW.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Jobs in Winter Garden, FL

Senior Software Engineer I, Research Informatics Mammoth Biosciences

Staff Software Engineer, Imaging Insitro Inc

Optical Engineer/Scientist (Ph.D.) Exponent Inc.

Physicist / Scientist IV (E4) Applied Materials Inc

Staff Machine Learning Scientist Freenome Inc

Research Scientist - Frontier Benchmarks Snorkel AI Inc

Data Scientist Chaos Inc

Research Scientist – World Modeling, Data Institute of Foundation Models

Machine Learning Scientist BigHat Biosciences Inc

Software Engineer, Life Sciences OpenAI

Principal AI ML Engineer Kai Cyber

Full Stack Software Engineer, Lab Platform (LIMS) Insitro Inc

Sr. Software Engineer (Health AI And Machine Learning) 23andMe, Inc.

Staff + Sr. Software Engineer, Scaling Anthropic

Sr. Global Field Application Scientist Liquid Handling and Automation Danaher Corp

Staff+ Software Engineer, Claude Science Anthropic

Software Engineer, Agents Benchling Inc

Software Engineer, Extensibility Platform Benchling Inc

MLOps Engineer SpreeAI

Machine Learning Engineer, Amazon Ads Identity Amazon.com Inc

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