ZipRecruiter

Log In

1

Machine Learning Platform Engineer Jobs (NOW HIRING)

AEG

Senior Machine Learning Platform Engineer

Atlanta, GA · On-site

$160K - $210K/yr

As a Senior ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Platform Engineer Jobs

Machine Learning Platform Engineer information

See salary details

$33

$63

$94

How much do machine learning platform engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is a Machine Learning Platform Engineer job?

A Machine Learning Platform Engineer designs, builds, and maintains the infrastructure that enables machine learning development and deployment at scale. They work on areas like data pipelines, model training workflows, monitoring, and cloud or on-premises platforms to ensure ML models run efficiently in production. Their role bridges software engineering and machine learning, focusing on automation, scalability, and reliability to support data scientists and ML engineers in delivering models faster and more effectively.

What are the key skills and qualifications needed to thrive in the Machine Learning Platform Engineer position, and why are they important?

A Machine Learning Platform Engineer should have strong programming skills (especially in Python or Java), knowledge of machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms and scalable infrastructure. Familiarity with containerization tools (such as Docker and Kubernetes), CI/CD systems, and relevant certifications in cloud or machine learning technologies is highly valued. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating across data science and engineering teams. These capabilities enable seamless creation and maintenance of robust, high-performance machine learning platforms for scalable model development and deployment.

What does a typical day look like for a Machine Learning Platform Engineer?

A typical day for a Machine Learning Platform Engineer involves designing, building, and maintaining the infrastructure that supports data science and machine learning workflows. You might spend your time developing new features for the platform, optimizing data pipelines, deploying models, and troubleshooting technical issues alongside data scientists and engineers. Collaboration is key—you’ll often work closely with cross-functional teams to understand requirements, ensure scalability, and improve the overall machine learning lifecycle. This role offers a challenging mix of software engineering and system design, so adaptability and a proactive mindset are important for success.
More about Machine Learning Platform Engineer jobs
What cities are hiring for Machine Learning Platform Engineer jobs? Cities with the most Machine Learning Platform Engineer job openings:
What states have the most Machine Learning Platform Engineer jobs? States with the most job openings for Machine Learning Platform Engineer jobs include:
What job categories do people searching Machine Learning Platform Engineer jobs look for? The top searched job categories for Machine Learning Platform Engineer jobs are:
Machine Learning Platform Engineer jobs near you
Infographic showing various Machine Learning Platform Engineer job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 4% Part Time, 1% Temporary, and 7% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.
Machine Learning Platform Engineer

Machine Learning Platform Engineer

Schrodinger

New York, NY

$120K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Schrodinger seeks a Machine Learning (ML) Platform Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.

Who will love this job:

  • A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production
  • An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn
  • An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems
  • A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration

What you'll do:

  • Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows
  • Build and maintain production systems that enable scientists to run large-scale ML workloads
  • Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools
  • Contribute to backend services and APIs supporting ML workflows and platform features
  • Improve developer workflows, testing infrastructure, and deployment automation
  • Participate in code reviews and contribute to engineering best practices across the team
  • Pitch in on frontend components of the ML platform web interface when needed

What you should have:

  • BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field

Experience with the following is nice to have, but not required:

  • Cloud platforms like AWS or GCP
  • Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows,  Helm charts, etc.)
  • CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)
  • Monitoring, logging, or observability systems
  • Distributed computing or large-scale ML workloads
  • ML training pipelines or experiment management
  • Data processing pipelines or large-scale data analysis
  • Source control systems (Git or similar)
  • Web application development (e.g., React, TypeScript, REST APIs)
  • Interest in scientific computing, chemistry, biology, physics, or related domains
 
Pay and perks:
Schrodinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time.  Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrodinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. 
 
Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
 
Sound exciting? Apply today and join us!
 
As an equal opportunity employer, Schrodinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

Apply