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Python Ml Engineer Jobs in New York (NOW HIRING)

Alliance

Senior ML Engineer

New York, NY · On-site

$114K - $157K/yr

Build and operate production Python systems for data collection, enrichment, feature extraction ... Senior, self-directed ML engineer who can take an ambiguous problem from first experiment through a ...

Alliance

Senior ML Engineer

Manhattan, NY · On-site

$200 - $250/hr

Build and operate production Python systems for data collection, enrichment, feature extraction ... Senior, self-directed ML engineer who can take an ambiguous problem from first experiment through a ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Cinder

AI/ML Engineer

New York, NY · On-site

$220K - $260K/yr

Why This Role Cinder is expanding quickly, and we want to bring on an additional AI Engineer to ... Strong Python skills and hands-on experience with AI & ML frame works: (PyTorch, scikit-learn ...

Alliance

Senior ML Engineer

New York, NY · On-site

$114K - $157K/yr

Build and operate production Python systems for data collection, enrichment, feature extraction ... Senior, self-directed ML engineer who can take an ambiguous problem from first experiment through a ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site +1

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Versant Media

Lead ML Engineer

Englewood Cliffs, NJ · On-site

$104K - $137K/yr

Deep expertise in Python and modern ML frameworks with strong software engineering fundamentals. * Demonstrated experience designing evaluation frameworks, monitoring strategies, and feedback loops ...

Coral AI

ML Engineer - New York

New York, NY · On-site

At Coral AI ( trycoral.ai ) , we're engineering the intelligent operating system for a more ... Proficiency with Python and ML frameworks like TensorFlow or PyTorch * Strong understanding of deep ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role ... Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph ...

Emonics LLC

AI/ML Engineer

New City, NY · On-site

... ML development experience. Required Skills ... Python programming. * Fundamentals of machine learning. * Statistics and probability. * Data ...

New

Marencor

AI/ML Data Scientist

New York, NY · On-site

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$200K/yr

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Strong proficiency in Python and SQL * Experience working with both structured and unstructured ...

a16z speedrun

Founding ML Engineer

New York, NY · On-site

The Role This is a core applied ML role focused on building and improving our foundation models ... Proficiency in Python * Experience with one or more of: C++, Rust, R, C * Ability to read and work ...

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Senior ML Engineer

New York, NY • On-site

Alliance
See more jobs at Allianceexternal

$114K - $157K/yr

Full-time

Re-posted 10 days ago

Job description

Senior ML Eng
Location: NYC (onsite only - not remote)
Alliance is the leading accelerator for crypto & AI founders. Since 2020 we've backed 300+ startups (Rain, Pump, Synthetix, Pendle, and many more), now collectively valued at $15B+.
We're hiring a Machine Learning Engineer to join our in-house engineering team. You'll report directly to Carter (CTO) and will be responsible for owning features from the requirements definition stage to production.
What You'll Do
  • Own applied ML end-to-end: turn a loosely defined problem into a dataset, an experiment, a model, and a production system without relying on a PM or a large engineering team.
  • Build and operate production Python systems for data collection, enrichment, feature extraction, scoring, evaluation, and AI-assisted research.
  • Develop models people can trust: define labels and features, build evaluation sets and backtests, catch leakage and bad source data, compare approaches, and know when a simpler model is the right answer.
  • Move work from the model lab into production: own artifacts, feature and prompt compatibility, APIs, background jobs, observability, failure handling, and releases.
  • Improve our LLM systems including structured extraction, research agents, prompt and model evaluation, and the guardrails needed to use untrusted external data safely.
  • Work directly with stakeholders to decide what is worth building, explain model behavior and tradeoffs clearly, and iterate based on how the system is actually used.

What we're looking for
  • Senior, self-directed ML engineer who can take an ambiguous problem from first experiment through a reliable production release.
  • Deep experience with Python and applied machine learning; comfortable moving between data exploration, training code, application code, APIs, and production debugging.
  • Strong modeling judgment: problem and label definition, feature design, evaluation, backtesting, leakage, missing data, calibration, interpretability, and model selection.
  • Enough software and data engineering depth to ship your own work: build pipelines and services, integrate external APIs, manage model artifacts and schemas, and maintain production workflows without heavy engineering support.
  • Practical experience with LLM systems: structured outputs, model and prompt evaluation, observability, retries, cost and latency tradeoffs, and safe handling of untrusted inputs.
  • Clear communicator with good product judgment who can work directly with non-technical stakeholders and turn model output into a useful decision or operating tool.
  • Extremely high-agency, entrepreneurial, self-driven.
  • NYC-based or willing to relocate (non-negotiable).

Examples of strong qualifications (good to have but not required)
  • Shipped ML products that people actually use, with evidence of owning the path from raw data and experimentation through deployment, monitoring, and iteration.
  • Strong public work: a standout GitHub, useful open-source contributions, published research, technical writing, or unusually good independent experiments.
  • Experience building prediction, ranking, classification, recommendation, or anomaly-detection systems on messy real-world data.
  • Experience building LLM evaluation systems, structured extraction pipelines, research agents, or other production AI workflows.
  • Founder, early ML hire, or senior individual contributor at a fast-moving startup, especially where you operated without a dedicated ML platform or large engineering team.
  • Clear signals of exceptional technical or quantitative ability: strong research, competition results, Math/Physics Olympiad performance, or a top technical academic background.

Why NOT join us
  • Not willing to get hands dirty: doesn't matter how important you were in past organizations; at Alliance we're all builders, not managers (even though many of us were managers in past lives).
  • Prioritizing work/life balance: this role demands focus, hunger, and a career-defining level of commitment. You must be locked in.
  • Low agency: if you need someone else to set your priorities or keep you on track, you will fail.
  • You can't relocate to NYC. This is non-negotiable: our founders are here, and so are we.

Why join us
  • Work with the most ambitious founders in crypto and AI. Learn firsthand from hundreds of startups succeeding - or failing.
  • Join a small, high-trust, high-performance team with outsized impact. We're ex-Meta, WhatsApp, Coinbase, YC, and have collectively founded multiple venture-backed startups.
  • We're backed by S-tier investors including Initialized Capital, Founders Fund, Multicoin, and Dragonfly, along with angels such as Balaji Srinivasan (ex-Coinbase CTO), Kevin Weil (CPO at OpenAI), Kevin Lin (Twitch co-founder), and Jeremy Allaire (Circle CEO), among many others.
  • Direct ownership and visibility: your work shapes how the next generation of founders discovers Alliance.
  • Career accelerator: this role sets you up, experience- and network-wise, for any high-impact path in crypto/AI - at startups, venture firms, or your own company.
  • Alliance startups are reinventing industries - from media to payments - and improving the lives of everyday people. You'll have a front-row seat as they change the world.

Apply