Profluent

<div><p>Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.</p></div><p>Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate <strong>Computational Research Intern</strong> to join moonshot projects at the intersection of bioinformatics and machine learning.</p>
<p>This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.</p>
<h3>Responsibilities</h3>
<ul>
<li>Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning</li>
<li>Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities</li>
<li>Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams</li>
<li>Document and present research findings internally, with the potential to publish in leading journals and conferences</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field</li>
<li>Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter)</li>
<li>Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics</li>
<li>Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively</li>
</ul>
<h3>Internship Details</h3>
<ul>
<li>Typical duration: <strong>12 weeks</strong>, with flexible start dates</li>
<li>Hybrid: <strong>2–3 days on-site</strong> per week in our Emeryville, CA headquarters</li>
<li>Opportunity to <strong>publish your work</strong> and make a lasting impact in computational biology and AI-driven protein design</li>
</ul>
<h3>What We Offer at Profluent</h3>
<ul>
<li>Work on <strong>moonshot projects</strong> at the frontier of AI and biology</li>
<li>Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology</li>
<li>A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup</li>
<li>Competitive internship compensation</li>
</ul>
<p> </p><div><p><strong>NOTICE TO STAFFING AND SEARCH FIRMS:</strong> Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.</p></div>

Computational Research Intern

<div><p>Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.</p></div><p><strong>The Role</strong></p>
<p>The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.</p>
<p>As a Software Engineer on the ML Engineering team, you will contribute directly to both goals. On the research side, you’ll build systems and tools that enable scientists to rapidly prototype ideas, scale complex experiments, and evaluate new models — anything from a distributed job orchestration service to a model evaluation platform. On the design side, you’ll build the infrastructure and software that empower our design team to tackle an increasing number of protein design challenges with greater speed and less friction — the inference stack, model APIs, and design pipelines, for example.</p>
<p>Our ideal candidate will have a rigorous engineering background and a strong product mindset. You’ll be responsible for taking projects from user research through systems design through implementation and deployment. As an early member of a small team, you will have significant ownership and the opportunity to shape the technical foundation of our growing engineering organization.</p>
<p><strong><br />Who You Are:</strong></p>
<ul>
<li>You’re comfortable taking ownership and working independently in a fast-moving environment.</li>
<li>You’re an execution-oriented engineer who maintains high standards and focuses on the highest-impact work.</li>
<li>You’re comfortable owning the full stack of your work, from system design to implementation to deployment on infrastructure.</li>
<li>You care deeply about code quality.</li>
<li>You build systems that emphasize efficiency, scalability, and reliability.</li>
<li>You’re willing to step beyond your core responsibilities when the team needs it.</li>
</ul>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build and maintain the infrastructure that underpins our model training.</li>
<li>Build and maintain the infrastructure and software that support model inference and protein design.</li>
<li>Work alongside ML scientists to standardize common research workflows into reusable tooling.</li>
<li>Work alongside ML scientists to identify opportunities to build tooling that would enable novel research or accelerate existing research.</li>
<li>Work alongside protein design scientists to translate bespoke processes into reproducible, standardized workflows we can use to speed up protein design projects.</li>
<li>Identify and implement solutions to optimize our training and inference workloads and reduce compute and storage costs.</li>
<li>Implement CI/CD, monitoring, and alerting for the services and applications you stand up, and for others across the team where applicable.</li>
<li>Follow engineering best practices and share these practices across the team.</li>
</ul>
<p><strong>Qualifications</strong><strong><br /></strong></p>
<ul>
<li>BS, MS, or PhD in computer science or a related field, or equivalent experience.</li>
<li>5+ years of experience in backend or full-stack engineering.</li>
<li>Experience building tools, platforms, or infrastructure for technical users (other engineers, researchers, data scientists, analysts, etc.).</li>
<li>Experience building high-performance systems.</li>
<li>A track record of building systems and software that other engineers and users love to use.</li>
</ul>
<p><strong>Preferences</strong></p>
<ul>
<li>Experience building research tooling for ML.</li>
<li>Experience building backend systems that serve ML models in production.</li>
<li>Experience transitioning research ideas into production.</li>
<li>Familiarity with ML frameworks such as PyTorch and MLflow.</li>
<li>Interest in the intersection of biology and AI.</li>
<li>Contributions to open source projects with strong user communities.</li>
</ul>
<p> </p>
<p><strong><br /></strong><strong>What We Offer </strong></p>
<ul>
<li>High-growth opportunity with meaningful impact on the future of protein design</li>
<li>Competitive compensation package with equity participation</li>
<li>401(k) with a strong employer match</li>
<li>Comprehensive benefits including health/dental/vision insurance</li>
<li>Generous PTO policy and commitment to work-life balance</li>
<li>Professional development opportunities in a cutting-edge field at the intersection of AI and biology</li>
</ul>
<p>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.</p>
<p><strong><br />Employment Eligibility Verification</strong></p>
<p>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.</p><div><div><div>Hiring Salary Range</div><div><span>$212,000</span><span>—</span><span>$339,000 USD</span></div></div></div><div><p><strong>NOTICE TO STAFFING AND SEARCH FIRMS:</strong> Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.</p></div>

Software Engineer, Machine Learning Platform

<div><p>Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.</p></div><p>We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning 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.</p>
<p>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.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design</li>
<li>Collaborate across the machine learning and protein design teams to adapt and improve reinforcement learning techniques from other domains to protein design</li>
<li>Architect, implement, and optimize core infrastructure to support the post-training of protein language models</li>
<li>Curate relevant datasets and design tasks for rigorous evaluation of generative models</li>
<li>Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings</li>
<li>Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company</li>
</ul>
<p><strong>Qualifications</strong></p>
<ul>
<li>PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field</li>
<li>Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques</li>
<li>Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)</li>
<li>Experience with modern deep learning frameworks such as Pytorch or Jax</li>
</ul>
<p><strong>Preferences</strong></p>
<ul>
<li>Familiarity with foundational biology of proteins and nucleic acids</li>
<li>Experience developing machine learning models for proteins (language models, structure prediction, design)</li>
<li>Experience with cloud compute platforms (GCP, AWS, Azure, OCI)</li>
<li>Previous experience in data extraction and curation from bioinformatics data sources</li>
<li>Familiarity with wet lab experimental assays and associated limitations</li>
</ul>
<p><strong>What We Offer</strong></p>
<ul>
<li>High-growth opportunity with meaningful impact on the future of protein design</li>
<li>Competitive compensation package with equity participation</li>
<li>401(k) with a strong employer match</li>
<li>Comprehensive benefits including health/dental/vision insurance</li>
<li>Generous PTO policy and commitment to work-life balance</li>
<li>Professional development opportunities in a cutting-edge field at the intersection of AI and biology</li>
</ul>
<p>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.</p>
<p><strong>Employment Eligibility Verification</strong></p>
<p>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.</p><div><div><div>Hiring Salary Range</div><div><span>$212,000</span><span>—</span><span>$339,000 USD</span></div></div></div><div><p><strong>NOTICE TO STAFFING AND SEARCH FIRMS:</strong> Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.</p></div>

Machine Learning Scientist, Reinforcement Learning

<div><p>Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.</p></div><p><strong>The Role</strong></p>
<p>We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models 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.</p>
<p>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.</p>
<p><strong>Responsibilities</strong><strong><br /></strong></p>
<ul>
<li>Design and develop state-of-the-art autoregressive, diffusion and representation learning models for protein design</li>
<li>Collaborate across the machine learning and protein design teams to apply, adapt and improve pretraining techniques from other domains to biomolecular deep learning models</li>
<li>Architect, implement, and optimize core infrastructure to support the pretraining of protein language models</li>
<li>Curate relevant datasets and design tasks for rigorous evaluation of generative models</li>
<li>Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings</li>
<li>Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company</li>
</ul>
<p><strong>Qualifications</strong><strong><br /></strong></p>
<ul>
<li>PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field</li>
<li>Experience with conceiving of, implementing, and evaluating novel machine learning and pretraining large scale LLMs or other models in biomolecular domain</li>
<li>Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or experience pre-training LLMs at frontier AI/ML labs </li>
<li>Experience with modern deep learning frameworks such as Pytorch or Jax</li>
</ul>
<p><strong>Preferences </strong><strong><br /></strong></p>
<ul>
<li>Familiarity with foundational biology of proteins and nucleic acids</li>
<li>Experience developing machine learning models for proteins (language models, structure prediction, design)</li>
<li>Experience with cloud compute platforms (GCP, AWS, Azure, OCI)</li>
<li>Previous experience in data extraction and curation from bioinformatics data sources</li>
<li>Familiarity with wet lab experimental assays and associated limitations</li>
</ul>
<p><strong>What We Offer</strong><strong><br /></strong></p>
<ul>
<li>High-growth opportunity with meaningful impact on the future of protein design</li>
<li>Competitive compensation package with equity participation</li>
<li>401(k) with a strong employer match</li>
<li>Comprehensive benefits including health/dental/vision insurance</li>
<li>Generous PTO policy and commitment to work-life balance</li>
<li>Professional development opportunities in a cutting-edge field at the intersection of AI and biology</li>
</ul>
<p>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.</p>
<p><strong>Employment Eligibility Verification</strong></p>
<p>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.</p><div><div><div>Hiring Salary Range</div><div><span>$212,000</span><span>—</span><span>$339,000 USD</span></div></div></div><div><p><strong>NOTICE TO STAFFING AND SEARCH FIRMS:</strong> Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.</p></div>

Machine Learning Scientist, Pretraining

<div><p>Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.</p></div><p>We're looking for a motivated and creative<strong> Machine Learning (ML) Scientist</strong> to drive research into models at the intersection of complex protein biology and AI. 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.</p>
<p>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.</p>
<p><strong>Responsibilities</strong><strong><br /></strong></p>
<ul>
<li>Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data</li>
<li>Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design</li>
<li>Curate relevant datasets and design tasks for rigorous evaluation of generative models</li>
<li>Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation</li>
<li>Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings</li>
<li>Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company</li>
</ul>
<p><strong>Qualifications</strong><strong><br /></strong></p>
<ul>
<li>PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field</li>
<li>Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology</li>
<li>Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)</li>
<li>Experience with modern deep learning frameworks such as Pytorch or Jax</li>
</ul>
<p><strong>Preferences</strong><strong><br /></strong></p>
<ul>
<li>Familiarity with foundational biology of proteins and nucleic acids</li>
<li>Experience developing machine learning models for proteins (language models, structure prediction, design)</li>
<li>Experience with cloud compute platforms (GCP, AWS, Azure, OCI)</li>
<li>Previous experience in data extraction and curation from bioinformatics data sources</li>
<li>Familiarity with wet lab experimental assays and associated limitations</li>
<li>3 to 5 years of industry experience</li>
</ul>
<p><strong>What We Offer</strong><strong><br /></strong></p>
<ul>
<li>High-growth opportunity with meaningful impact on the future of protein design</li>
<li>Competitive compensation package with equity participation</li>
<li>401(k) with a strong employer match</li>
<li>Comprehensive benefits including health/dental/vision insurance</li>
<li>Generous PTO policy and commitment to work-life balance</li>
<li>Professional development opportunities in a cutting-edge field at the intersection of AI and biology</li>
</ul>
<p>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.</p>
<p><strong>Employment Eligibility Verification</strong><strong><br /></strong></p>
<p>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.</p><div><div><div>Hiring Salary Range</div><div><span>$212,000</span><span>—</span><span>$339,000 USD</span></div></div></div><div><p><strong>NOTICE TO STAFFING AND SEARCH FIRMS:</strong> Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.</p></div>

Profluent

Open jobs at Profluent

Computational Research Intern

Software Engineer, Machine Learning Platform

Machine Learning Scientist, Reinforcement Learning

Machine Learning Scientist, Pretraining

Machine Learning Scientist, BioML

Working for Profluent?

Featured companies