AI-Driven Molecular Discovery Engineer

Next Phase Recruitment; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Next Phase Recruitment is assisting a San Francisco-based deep tech company in recruiting a Software Engineer to advance AI-driven molecular discovery. You will join a team merging software, scientific research, and scalable infrastructure to enable synthetic data generation, model training, and experiments that accelerate drug discovery and physics-based simulation.

You will design and operate production workflows in Python, build asynchronous data pipelines, and create clear APIs for

Qualifications

• 2+ years of professional software engineering in data, scientific, or ML workflows.
• Experience designing and operating production workflows with Temporal, Airflow, Flyte, Dagster, or Prefect.
• Strong Python proficiency; PyTorch experience desirable.
• Experience collaborating with research scientists or data teams.

Responsibilities

• Build workflow layers powering data generation and model training.
• Modernize scientific tooling into scalable software.
• Design clean Python APIs for experiments.
• Ensure reproducibility, observability, and traceability across compute boundaries.
• Collaborate with infrastructure on scheduling, capacity, and cost optimization.
• Apply knowledge of distributed computing and asynchronous execution.
• Design APIs with clarity, consistency, and minimalism.
• Debug distributed systems and integrate vendor technologies.
• Work with scientific computing codebases.

Skills

Python

PyTorch

Distributed systems

Asynchronous workflows

API design

Research collaboration

Tools

Temporal

Airflow

Flyte

Dagster

Prefect

Job description

Next Phase Recruitment is assisting a San Francisco-based deep tech company in recruiting a Software Engineer to advance AI-driven molecular discovery. You will join a team merging software, scientific research, and scalable infrastructure to enable synthetic data generation, model training, and experiments that accelerate drug discovery and physics-based simulation.

You will design and operate production workflows in Python, build asynchronous data pipelines, and create clear APIs for