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Profluent

Software Engineer, Machine Learning Platform

Profluent · Emeryville, California, United States; Hybrid (2-3 days on-site)

Posted about 2 months ago

or apply directly on Profluent's site. We never take the application ourselves.

Is this posting real?

This role has been open
58 days
Profluent's roles stay open a median of 63 days
Reposted
No
Salary listed
No
0% of Profluent's roles list one
Ghost-job risk at Profluent
high
12 stale, 0 reposted of 12 open
Hiring momentum
17 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-05

Measured from postings appearing on and disappearing from Profluent's own greenhouse board since 2026-08-03. Full hiring picture for Profluent.

About this role

As a Software Engineer on the Machine Learning team at Profluent, you will develop systems and tools that facilitate rapid prototyping and evaluation of machine learning models, as well as build infrastructure to support protein design. Your role will involve collaborating with ML scientists to standardize workflows, optimize training and inference workloads, and ensure high-quality code throughout the development process. You will have significant ownership of projects and contribute to shaping the technical foundation of the engineering organization.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Profluent as an employer.

What you need

  • BS, MS, or PhD in computer science or a related field, or equivalent experience
  • 5+ years of experience in backend or full-stack engineering
  • Experience building tools, platforms, or infrastructure for technical users
  • Experience building high-performance systems
  • A track record of building systems and software that other engineers and users love to use

Nice to have

  • Experience building research tooling for ML
  • Experience building backend systems that serve ML models in production
  • Experience transitioning research ideas into production
  • Familiarity with ML frameworks such as PyTorch and MLflow
  • Interest in the intersection of biology and AI

What you get

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Worth weighing

  • No specific technologies or programming languages mentioned, which may indicate flexibility or vagueness in tech stack
  • The role involves significant ownership and responsibility, which may appeal to self-motivated candidates but could be challenging for those needing more guidance
  • Fast-moving environment may require adaptability and quick learning

Summarised from Profluent's posting. Read the full original.

Listed by Profluent on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.

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