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Sr Machine Learning Engineer Jobs (NOW HIRING)

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.

Senior Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experience. Responsibilities : • Design ...

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will build and operate production-grade ML systems that enhance real-time personalization across the platform, collaborating closely with product and ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

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.

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

The Senior Machine Learning Engineer will design and implement machine learning models and algorithms to improve clinical outcomes and enhance patient-therapist matching processes. Responsibilities ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

The Senior Machine Learning Engineer will design and evaluate machine learning models to improve clinical outcomes and enhance the matching process between patients and therapists. Responsibilities ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

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.

Senior Machine Learning Engineer

Draper, UT · On-site

$114K - $151K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experiences. Responsibilities : • Design ...

About the role As a Senior Machine Learning Engineer on the Agentic Data Foundations team, you will: * Architect and Build: Lead the design, prototyping, and deployment of scalable machine learning ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

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.

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

The Senior Machine Learning Engineer will design and implement machine learning models and algorithms to improve clinical outcomes and enhance patient-therapist matching processes. Responsibilities ...

Senior Machine Learning Engineer

$107K - $146K/yr

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.

Senior Machine Learning Engineer

$107K - $146K/yr

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.

Senior Machine Learning Engineer

$107K - $146K/yr

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.

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer Experience Level: 3-6+ yrs Work Location: Dallas, TX Role Overview: We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

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Sr Machine Learning Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do sr machine learning engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for sr machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer, and why are they important?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
More about Sr Machine Learning Engineer jobs
What cities are hiring for Sr Machine Learning Engineer jobs? Cities with the most Sr Machine Learning Engineer job openings:
What states have the most Sr Machine Learning Engineer jobs? States with the most job openings for Sr Machine Learning Engineer jobs include:
Infographic showing various Sr Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Attentive

New York, NY

$244K - $320K/yr

Other

Posted 16 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 competitive 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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