Talent.com
Machine Learning Engineer

Machine Learning Engineer

HarnhamNew York, New York, US
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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Ensure you read the information regarding this opportunity thoroughly before making an application.

Base pay range

180,000.00 / yr - $220,000.00 / yr

Connecting Top AI and Machine Learning Talent @ Harnham NYC

Hybrid – 3 days onsite in NYC

180,000–$220,000 + Equity

A fast-growing startup is building next-generation AI-driven cloud solutions, helping businesses optimize and automate their cloud infrastructure. With cloud spending surging and AI reshaping the industry, this company is developing cutting-edge tools to give organizations real-time insights, cost control, and enhanced efficiency. Backed by top-tier investors and trusted by leading tech companies, they are expanding their engineering team to scale their AI-powered platform.

The Role

This is a hands-on role for an experienced AI / ML engineer eager to shape AI-driven cloud automation tools. You’ll work closely with leadership to develop and deploy machine learning models that power cost optimization, predictive analytics, and AI-driven automation.

  • Design, build, and deploy ML models that enhance cloud efficiency and automation
  • Optimize and integrate LLMs to support AI-powered decision-making
  • Build AI-driven tools for cloud cost forecasting and infrastructure rightsizing
  • Implement secure, scalable ML pipelines across multi-cloud environments (AWS, GCP, Azure)
  • Collaborate with engineering and product teams to align AI capabilities with business needs
  • Stay ahead of emerging AI trends and apply cutting-edge techniques

The Ideal Candidate

  • Proven commercial years of hands-on experience in ML / AI model development and deployment
  • Strong Python skills, with exposure to Go and SQL being a plus
  • Experience with cloud infrastructure, distributed computing, and model deployment at scale
  • Proficiency in ML frameworks like PyTorch, Hugging Face, LangChain, and vector databases
  • Security-focused approach to AI infrastructure and model deployment
  • Startup mindset – comfortable with ambiguity and excited to build from 0 to 1
  • Strong communication skills and the ability to convey complex technical concepts

    • Why Join?

    This is an opportunity to be part of a rapidly growing company at the intersection of AI and cloud computing. You'll have a direct impact in shaping an industry-leading platform while working in a dynamic and fast-paced environment. Competitive compensation, equity, and strong growth opportunities make this a compelling role for top-tier ML engineers looking for their next challenge.

    How to Apply

    If you are a motivated AI / ML Engineer who is excited to make a difference in an impactful startup, send your resume to Virginia via the Apply link on this page.

    Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Industries

    Technology, Information and Media, Financial Services, and Software Development

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