Machine Learning Engineer


Los Angeles Metro Area
Permanent
USD150000 - USD200000
Research And Development
PR/556210_1754922867
Machine Learning Engineer

Machine Learning Engineer
A pioneering VC-backed biotech company is driving a data-driven approach to drug discovery by integrating artificial intelligence, automation, and advanced chemistry. Their proprietary platform generates massive, high-resolution datasets that fuel iterative cycles of molecular design and experimentation. This closed-loop system enables the precise mapping of molecular interactions and accelerates the development of therapeutics with unprecedented speed and accuracy.

Position Summary
The team is seeking a highly motivated and inventive machine learning engineer to join their group. In this role, you'll help build predictive models that inform molecular design decisions with exceptional clarity and reliability-powered by a scale of chemical interaction data that is unmatched in the industry.

Core Responsibilities

  • Build and refine neural architectures capable of learning from large-scale, multimodal biological and chemical datasets.
  • Contribute to a collaborative PyTorch-based codebase by implementing modules for encoding and decoding diverse data types.
  • Perform statistical evaluations to assess model robustness and guide improvements.
  • Lightly curate and prepare datasets for training and validation.
  • Integrate trained models into existing design and inference systems.
  • Coordinate closely with fellow ML researchers to align experimental goals and share findings.

Required Qualifications

  • Experience with distributed training workflows and multi-cloud infrastructure (e.g., AWS, Docker, Redis, SQL/NoSQL).
  • Strong proficiency in PyTorch and/or JAX for deep learning model development.
  • Ability to manipulate and analyze data across decentralized systems.
  • Skilled in building expressive modules for structured data generation and representation.
  • Familiarity with molecular data structures and representations is a plus.

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