ML Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

ML Engineer New York, NY Windmill is building the future of performance. Windmill is the first context graph for your people: a continuous, cited understanding of your workforce so HR can lead strategically, managers can see their teams clearly, and every person's work speaks for itself. Learn more: gowindmill.com http://gowindmill.com We're looking for candidates with experience in: 1. Model Development & Deployment: Design, build, and deploy scalable machine learning models to enhance product features, optimize performance, and drive intelligent automation. 2. Algorithm Optimization: Fine-tune and optimize machine learning algorithms to improve accuracy, efficiency, and real-time performance within the product environment. 3. Cross-Functional Collaboration: Work closely with data scientists, software engineers, and founders to integrate machine learning solutions that solve complex product challenges for our users 4. Scalable Infrastructure: Develop and maintain robust machine learning pipelines and data infrastructure, ensuring the models can efficiently handle large-scale data processing and deployment needs. 5. Continuous Learning & Innovation: Stay up-to-date with the latest research in machine learning, artificial intelligence, and data science to identify opportunities for applying cutting-edge techniques that drive product innovation. Note: We're a New York based company, and want our team working together in the office. If you're not interested in considering relocation to New York, this may not be the right opportunity.

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