MACHINE LEARNING SCIENTIST BERKELEY, CALIFORNIA, UNITED STATES

Profluent Bio Inc.; Berkeley (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Join an innovative AI-first protein design company at the forefront of generative modeling research. As a Machine Learning Scientist, you will lead the development of cutting-edge deep learning methods for protein design, collaborating with a diverse team of scientists. This role offers a unique opportunity to shape the future of biomolecular design, working on impactful projects that could revolutionize biomedicine. If you are a self-directed researcher with a passion for machine learning and a desire to make a meaningful impact, this position is perfect for you.

Benefits

Generous paid time off (PTO) policy

Commitment to physical and mental well-being

Competitive compensation package

High-growth opportunity with meaningful impact

Qualifications

• PhD or equivalent experience in relevant fields.
• Experience with novel machine learning techniques and publications.

Responsibilities

• Design deep learning methods for protein prediction.
• Collaborate with biology team on novel biomolecules.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Computational Biology

Data Curation

Education

PhD in Computer Science

PhD in Applied Math

PhD in Statistics

Tools

Pytorch

Jax

GCP

AWS

Azure

Job 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, 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, 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)

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.

Hiring Salary Range

150,000 - $200,000 USD

What we offer at Profluent

• A high-growth opportunity with meaningful impact
• Competitive compensation package
• 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.

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.

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