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Senior Machine Learning Jobs (NOW HIRING)

Button, Inc.

Senior Machine Learning Engineer

$153K - $198K/yr

As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the data and feature pipelines that feed models, through training and evaluation workflows, to ...

Grid

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $220K/yr

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

System One

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...

BE Group

Senior Machine Learning Engineer

Malvern, PA

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Klaviyo

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$200 - $250/hr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Candid

$125 - $150/hr

Senior Machine Learning Engineer Reporting to: Data Science Manager Schedule: 35-hour work week, Monday through Friday Compensation : $130,000 - $160,000 (this range is for the NYC area and will be ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the leading provider of facial recognition technologies to US ...

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

About You We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience). Minimum ...

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Senior Machine Learning information

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How much do senior machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior machine learning in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.
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Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Machine Learning Engineer

Button, Inc.

Remote

$153K - $198K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 hours ago

Job description

Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today, we work with some of the largest and most interesting businesses in the world to connect shoppers, creators, and retailers with what they love at the tap of a button. We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it.
As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the data and feature pipelines that feed models, through training and evaluation workflows, to deployment, scoring, monitoring, and retraining. You will work closely with product managers, data scientists, and software engineers to translate ambiguous business problems into reliable production ML systems that integrate with our platform and power real product decisions.
You will help build the infrastructure and patterns that allow models to move quickly from research to production while meeting real world requirements for latency, scalability, cost efficiency, reproducibility, and safety. This role works closely with our Data Teams and plays a central role in how machine learning powers Button's commerce and monetization products.
AS A SENIOR MACHINE LEARNING ENGINEER, YOU WILL:
  • Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining.
  • Design and build reliable data and feature pipelines, including feature store patterns that support reproducible training and consistent features across training, batch scoring, and online inference.
  • Build and optimize machine learning models including regression, classification, ranking, and recommender systems.
  • Implement and manage batch scoring pipelines and online inference services with clear performance, reliability, and latency standards.
  • Partner with data scientists to operationalize models and build the tooling needed to run consistent evaluation, experimentation, and model iteration.
  • Collaborate with software engineers to ensure smooth integration of models into production services and APIs.
  • Establish observability for ML systems including monitoring of data freshness, feature drift, model performance, and pipeline health.
  • Design systems that support rapid experimentation and safe rollout of new models.
  • Document architecture clearly, establish best practices for ML engineering at Button, and mentor teammates through thoughtful code reviews and design discussions.
  • Contribute to the design of decisioning systems that power ranking, recommendations, and commerce optimization across Button's platform.

WE LOOK FOR TEAMMATES WHO:
  • Write clear, maintainable code with strong software engineering practices including testing, documentation, debugging, and thoughtful system design.
  • Have experience building and operating production machine learning systems rather than only training models.
  • Understand the full ML lifecycle including feature generation, training pipelines, deployment strategies, and monitoring.
  • Have practical experience designing scalable data pipelines and feature generation workflows.
  • Have experience building or working with feature pipelines or feature stores that support both training and online inference.
  • Think deeply about reliability, scalability, latency, and cost efficiency when building ML systems.
  • Are comfortable working in cloud environments, especially AWS. Familiarity with Amazon SageMaker, Redis, Spark, streaming systems, or distributed data processing frameworks is a plus.
  • Have experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Enjoy collaborating closely with engineers, data scientists, and product managers and can clearly communicate technical tradeoffs and design decisions.
  • Are comfortable working in ambiguous problem spaces and translating product questions into measurable ML solutions.

EXPERIENCE LEVEL:
  • 5+ years of professional experience in machine learning engineering, software engineering, data engineering, or similar roles.
  • Fluency with Python and SQL.
  • Proven experience designing, building, and operating data pipelines at scale.
  • Hands on experience deploying and maintaining machine learning models in production environments.
  • Experience working in cloud environments, especially AWS.
  • Familiarity with orchestration and data modeling tools such as Airflow, dbt, or similar systems.
  • Experience building ranking, recommendation, or decisioning systems is a plus.

Button provides employees with a RemotePlus workplace, which blends "work from anywhere" with in-person collaboration. Button has a "hub" workspace in New York City as well as team members distributed across the United States and beyond. The salary range for this role is expected to be between $153,000 - $198,000 (offered salary is based on a number of factors including skills and experience relative to the job description listed above).
In addition, Button provides employees with a 401(k) plan and automatically contributes 3% of an employee's salary annually. We also want our employees to be well-rested and live balanced lives-Buttonians enjoy unlimited time off (including birthdays off) and periodic Mental Health Weeks which allow the entire company to take a breath and recharge, as well as an employee assistance program. For many of the health, vision, and dental insurance plans offered by Button, the company covers 100% of the premiums for employees and 75% for dependents. Button offers all employees and their dependents complimentary memberships to One Medical as well as a monthly stipend for mobile phone/internet and an annual lifestyle stipend. Button also offers employees in select markets "All Access" memberships to WeWork as well as regular "coworking days" and social events. Most of all, Button offers our employees the opportunity to live our company values-Grow & Learn, Experiment, Adapt, and Deliver-and to be a part of an incredible team of humans working together to build a better internet, fueled by commerce.
Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

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