Machine Learning Research Engineer
Optiver · New York, New York
Posted about 3 months ago · Previously reposted
or apply directly on Optiver 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Optiver 's roles stay open a median of 81 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 0% of Optiver 's roles list one
- Ghost-job risk at Optiver
- high 166 stale, 3 reposted of 168 open
- Hiring momentum
- 222 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Optiver 's own greenhouse board since 2026-08-03. Full hiring picture for Optiver .
About this role
As a Machine Learning Research Engineer at Optiver, you will focus on advancing futures trading strategies through innovative research in deep learning, building robust training and inference pipelines, and enhancing open-source deep learning frameworks. You will collaborate with researchers and engineers while developing a deep understanding of trading systems.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- 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 Optiver as an employer.
What you need
- PhD or equivalent industry experience in a field related to machine learning
- Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow
- Experience in programming in Python
- Experience in computationally intensive research on very large data sets
Nice to have
- Experience with JAX ecosystem (XLA, Flax, etc.)
- Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)
- Contributions to open-source projects related to data science and machine learning
- Strong publication record at conferences like NeurIPS, ICML, etc.
- Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
What you get
- Highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Worth weighing
- No salary listed other than the base salary range of $200,000
- Role involves significant collaboration, which may require strong interpersonal skills
- Focus on deep learning and trading systems may limit exposure to other areas of machine learning
Summarised from Optiver 's posting. Read the full original.
Listed by Optiver on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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