- Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design.
- 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
- PhD in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
- Experience with conceiving of, implementing, and developing 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
- Familiarity with foundational biology of proteins and nucleic acids
- Experience developing machine learning models for proteins (language models, structure prediction, design)
- Experience with cloud compute platforms (GCP, AWS, Azure)
- 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
-
Machine Learning Scientist
4 weeks ago
Profluent Berkeley, United StatesProfluent is looking for a motivated, creativeMachine 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, geometric repres ...
-
Machine Learning Scientist
4 days ago
Observe Redwood Shores, United States**About Us** · - Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance t ...
-
Machine Learning Scientist
3 weeks ago
Equilibrium Energy San Francisco, United StatesAbout our Company · Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, ec ...
-
Deep Learning Scientist
3 weeks ago
Understanding Recruitment Inc San Francisco, CA, United StatesFounding Applied Research Scientist (Deep Learning/ Computer Vision) · Stock options · Founding Applied Research Scientist (Deep Learning/Computer Vision): · We are a pioneering AI startup that has recently secured Series A funding, aiming to redefine the landscape of digital m ...
-
Tesla Palo Alto, United StatesTesla participates in the E-Verify Program · What to Expect · What You'll Do · - Develop novel formulations and architectures for a wide variety of computer vision tasks · - Perform large-scale distributed training of deep neural networks to build a unified and consistent vector ...
-
Deep Learning Research Scientist, Dessa
1 week ago
Block Oakland, United States Full timeCompany Description · Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provi ...
-
Machine Learning Scientist
1 week ago
MyOme San Francisco, United States Full timeMyOme builds methods and develops products to help families better understand their risks for inherited diseases. We aim to build the platform that enables customers to receive a lifetime of on-demand health insights from a single sample including cardiac, diabetes, and cancer ri ...
-
Machine Learning Scientist
2 weeks ago
Whatnot San Francisco, United States Full timeWhatnot · Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We're building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values , and as a remote-first t ...
-
Machine Learning Scientist
3 weeks ago
Integrated Resources Foster City, United StatesTitle: Machine Learning Scientist (Contractor) · Location: · • Foster City, CA · • On-site 3 days/week minimum · We are looking for a highly skilled machine learning expert to join our data science team within Client PDM (Pharmaceutical Development and Manufacturing) organization ...
-
Machine Learning Scientist
4 weeks ago
The Fountain Group San Mateo, United StatesPay: $50 - $60/Hour · Location: Foster City, CA (Onsite 3 days/week minimum) · Overview: · We are looking for a highly skilled Machine Learning Expert to join our data science team within the PDM (Pharmaceutical Development and Manufacturing) organization. We want a passionate ...
-
Machine Learning Scientist
3 weeks ago
Zoomcar Redwood City, United StatesObserve.AI · is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI · uncovers insights from 100% of customer interactions and maximizes frontline team performance through coac ...
-
Research Scientist, Machine Learning
3 weeks ago
TeachFX San Francisco, United StatesAt TeachFX, we're using AI to show educators personalized insights about the learning dynamics in their classroom, helping them understand which of their instructional practices are making the greatest positive impact on student engagement and equity. We're bringing together the ...
-
Machine Learning Research Scientist
3 weeks ago
NLP PEOPLE San Francisco, CA, United StatesHealthcare needs good data. At PicnicHealth, we are building deep observational and real-world outcome datasets that fuel cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — acros ...
-
Machine Learning Research Scientist
3 weeks ago
PicnicHealth San Francisco, CA, United StatesHealthcare needs good data. At PicnicHealth, we are building deep observational and real-world outcome datasets that fuel cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — acros ...
-
Machine Learning Research Scientist
2 weeks ago
Pear VC San Francisco, United StatesAbout the Role · Be a core contributor to clinical grade deep learning products · Architect key components of the deep learning platform · Train robust and interpretable deep learning models for impactful medical tasks · Design purpose built datasets alongside medical oncolog ...
-
Machine Learning Research Scientist
1 week ago
NLP PEOPLE San Francisco, United States Full timeHealthcare needs good data. At PicnicHealth, we are building deep observational and real–world outcome datasets that fuel cutting–edge research while giving patients control of their own medical record data. These complete, clinically–rich datasets produce unique insights – acros ...
-
Senior Scientist, Machine Learning
2 weeks ago
Atomic AI South San Francisco, United StatesAtomic AI, Inc. is a well-funded, early-stage biotech company transforming the rational design of molecules and medicines through the cutting-edge fusion of artificial intelligence and structural biology. Atomic's unique R&D platform, based on research featured on the cover of Sc ...
-
Machine Learning Engineer/Scientist
3 weeks ago
Got-It AI Burlingame, CA, United StatesAt Got It, Machine Learning Engineers and Scientists develop cutting edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech and conversational ...
-
Deep Learning Research Scientist
2 weeks ago
Amazon Palo Alto, CA, United StatesJob ID: | Services LLC · At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices. The Pricing team is seeking a Principal Applied Scientist with expertise in Text Classification and Large Language models to use state-of-the-art techn ...
-
MTS: Applied Machine Learning Scientist
3 weeks ago
Acceler8 Talent San Francisco, United StatesAbout the Company: Join a pioneering Google Brain spinout at the forefront of AI and ML technology, where human-computer collaboration is not just a concept but a reality. Our team is dedicated to revolutionizing user experiences by innovating at every level, from user interfaces ...
Machine Learning Scientist - Berkeley, United States - Profluent
Description
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 Berkeley, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.
Profluent is looking for a motivated, 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, geometric 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. 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
Qualifications
Preferences (but not required)
Actual salary will be determined based on relevant skills, qualifications, experience, training, and market data. Benefits package may vary depending on company policies and eligibility criteria.
Salary Range
$140,000—$200,000 USD
What we offer at Profluent
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.
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
