AI/ML scientist

TieTalent; Pleasanton (CA); Remote; USD 125,000 - 150,000; Full time

Job summary

A leading company is seeking an AI/ML scientist for a 12-month remote role, focusing on designing and evaluating systems for drug discovery. Ideal candidates will have a strong background in machine learning, computational biology, and extensive programming skills in Python. This position offers a competitive hourly pay rate and opportunities to contribute to significant research and publications in the field.

Qualifications

• Strong foundations in data structures, algorithms, and software engineering principles.
• Advanced programming skills in Python, with experience in frameworks such as LangGraph and LangChain.
• Familiarity with AI agents and ML methods desirable.

Responsibilities

• Design, optimize, evaluate, and deploy evaluation systems for drug discovery.
• Collaborate with teams on generative AI methods addressing computational biology challenges.
• Contribute to publications and present findings at conferences.

Skills

Data structures

Algorithms

Software engineering principles

Computational methods

Statistical methods

Python

Education

PhD or Master's degree in Computer Science

Machine Learning

Data Science

Bioinformatics

Computational Biology

Tools

LangGraph

LangChain

Requests

R programming

Bioconductor

Job description

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Role: AI/ML scientist
Location: Remote
Duration: 12 months
Pay Rate: $55-$70/hr W2

Looking for someone with a strong background in machine learning and engineering, a passion for quality and scalability, and an interest in creating evaluation systems.

Job Description:

• Design, optimize, evaluate, and deploy cutting-edge evaluations for agentic systems with applications to drug discovery.
• Drive research on (large-scale) generative AI methods solving computational biology challenges.
• Collaborate with cross-functional teams to evaluate LLM-based agents and deploy them into impactful applications for drug discovery and target discovery.
• Opportunity to contribute to publications and present results at internal and external scientific conferences.

Education:

• PhD or Master's degree in Computer Science, Machine Learning, Data Science, Bioinformatics, Computational Biology, or a related field.

Required skills:

• Strong foundations in data structures, algorithms, and software engineering principles, along with knowledge of computational and statistical methods used in biological data analysis.
• Advanced programming skills in Python, with experience in frameworks such as LangGraph, LangChain, and Requests.
• Passionate about developing scalable, efficient, and well-documented software.

Preferred skills:

• Familiarity with AI agents, RAG, fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, and LLM calibration techniques.
• Familiarity with R programming, Bioconductor, and computational biology pipelines.
• Knowledge of ML topics such as uncertainty quantification, conformal prediction, or offline RL.
• Publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR) is a plus.
• Prior experience in drug discovery or biological domains such as target discovery is advantageous.
• Experience with MLOps and API-based AI systems is a plus.
• Strong communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
• Ability to take full ownership of challenges from start to finish and proactively acquire necessary knowledge to drive solutions forward.

BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant based on race, color, sex, age, religion, sexual orientation, gender identity, veteran status, disability, or any protected class under federal, state, or local law. This job posting describes the general duties and requirements but is not exhaustive. Management reserves the right to revise or alter this job description as needed.