or apply directly on 10a Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days 10a Labs's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- Yes 48% of 10a Labs's roles list one
- Ghost-job risk at 10a Labs
- high 17 stale, 1 reposted of 23 open
- Hiring momentum
- 27 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from 10a Labs's own greenhouse board since 2026-08-03. Full hiring picture for 10a Labs.
About this role
The Machine Learning Engineer at 10a Labs will design, build, and evaluate advanced machine learning systems focused on AI safety and model evaluation. The role involves conducting experiments on various ML models, developing evaluation pipelines, and collaborating with a team of engineers and experts. Candidates will also analyze results and iterate on experiments to enhance AI systems.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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 10a Labs as an employer.
What you need
- 3–5+ years of experience in machine learning, research engineering, or a related technical field
- Strong Python skills and experience with ML frameworks such as PyTorch or JAX
- Hands-on experience training, fine-tuning, or evaluating modern ML models
- Strong understanding of experimental design, model evaluation, and quantitative analysis
- Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents
- Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML
Nice to have
- Experience with RLHF/RLAIF, reward modeling, policy optimization, or other model post-training techniques
- Experience evaluating frontier language or multimodal models
- Experience with adversarial evaluations, robustness testing, or AI safety
- Experience with distributed training, cloud ML infrastructure, or large-scale ML systems
What you get
- Salary Range : $130K–$200K, depending on experience and location
- Bonus : Performance-based annual bonus
- Professional Development : Support for conferences, continuing education, or leadership training
- Work Environment : Fully remote, U.S.-based
- Health Benefits : Comprehensive health, dental, and vision coverage
- Time Off : Generous PTO and paid holiday schedule
Worth weighing
- Candidates must be based in specific metropolitan areas and work from the office at least two days a week after onboarding.
- The role requires a strong experimental mindset and the ability to tackle ambiguous technical questions, which may involve significant problem-solving.
- No specific mention of the tech stack beyond Python and ML frameworks, which may imply a focus on modern techniques but lacks detail on legacy systems.
Summarised from 10a Labs's posting. Read the full original.
Listed by 10a Labs on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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