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Senior Machine Learning Software Engineer Jobs in New York, NY

Senior Machine Learning Engineer

New York, NY ยท On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... machine-learning software systems * Proven experience owning ML systems long enough to see the ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New ... Strong software engineering ability to build and maintain complex systems and work with large-scale ...

We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our ... Strong software engineering fundamentals and experience building production systems * Experience ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer , you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... machine-learning software systems * Proven experience owning ML systems long enough to see the ...

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

About the Role We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize ... Strong software engineering fundamentals and experience building production systems * Experience ...

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Showing results 1-20

Senior Machine Learning Software Engineer information

See New York, NY salary details

$82.6K

$156.8K

$210.1K

How much do senior machine learning software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior machine learning software engineer in New York, NY is $156,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $176,700.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What cities near New York, NY are hiring for Senior Machine Learning Software Engineer jobs?

Cities near New York, NY with the most Senior Machine Learning Software Engineer job openings:

Infographic showing various Senior Machine Learning Software Engineer job openings in New York, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $156,766 per year, or $75.4 per hour.

Senior Machine Learning Engineer

Attentive

New York, NY โ€ข On-site

$244K - $320K/yr

Full-time

Re-posted 29 days ago


Job description

About the Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.

What You'll Accomplish

  • Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
  • Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
  • Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
  • Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
  • Continuously improve system reliability, performance, and engineering efficiency
  • Contribute to technical direction and best practices across the ML engineering team
  • Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
  • Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

  • 6+ years of professional experience building production machine-learning software systems
  • Proven experience owning ML systems long enough to see the downstream impact of design decisions
  • Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
  • Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
  • Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
  • Experience collaborating with cross-functional teams to deliver ML-powered features
  • Strong communication skills and a high sense of ownership

What We Use

  • Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
  • Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
  • Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

You'll get competitiveย perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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