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Sr Machine Learning Engineer Jobs in Missouri (NOW HIRING)

Sr. Machine Learning Engineer (Remote)

California, MO ยท On-site

$140 - $215/hr

  • Medical

  • Retirement

  • PTO

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on high ...

New

$94K - $124K/yr

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights. This role sits at the ...

Machine Learning Engineer

California, MO ยท On-site

$130 - $190/hr

PhD in STEM +0 years of relevant experience or equivalent related work experience * 5+ years of experience in data engineering, machine learning engineering, or related roles * Data Pipeline ...

$80K - $110K/yr

Our partner is looking for a Senior Geospatial Machine Learning Engineer based in Netherlands. Join a fully remote, mission-driven climate technology environment where machine learning and satellite ...

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...

Machine Learning Engineer

California, MO ยท On-site

$110 - $170/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 1-20

Sr Machine Learning Engineer information

See Missouri salary details

$55.8K

$118.7K

$172.1K

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

As of Aug 19, 2026, the average yearly pay for sr machine learning engineer in Missouri is $118,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

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?

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.

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 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.

What are popular job titles related to Sr Machine Learning Engineer jobs in Missouri?

For Sr Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:

Infographic showing various Sr Machine Learning Engineer job openings in Missouri 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 $118,711 per year, or $57.1 per hour.

Sr. Machine Learning Engineer (Remote)

Socket.dev

California, MO โ€ข On-site

$140 - $215/hr

Other

Medical, Retirement, PTO

Posted yesterday

New


Job description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasnโ€™t changed โ€” weโ€™re here to stop breaches, and weโ€™ve redefined modern security with the worldโ€™s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. Weโ€™re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on high-throughput, low-latency LLM inferencing. In conjunction with the other engineers and data scientists on the team, you will support LLM post-training, data engineering aligned to rigorous evaluations, and broadly supporting a mission that requires close engineering collaboration with applied data scientists. Substantively, the team has a big mission: allowing Enterprise users to interact safely and securely with AI applications. This is a front-seat role in designing for the AI age. CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

What You'll Do:
  • Innovate with the state of the art machine learning technology to accelerate data science.

  • Focus on pragmatic support for fast-moving research and development teams.

  • Implement high-quality solutions in support of customer-facing applications at scale.

  • Providing in-depth analysis to identify potential vulnerabilities or gaps.

  • Construct and maintain data pipelines,and contribute to the training and implementation of custom models.

  • Collaborate across various teams to brainstorm, define, and devise solutions.

  • Commit to ongoing learning and self-improvement.

  • Stay attuned to our customers' challenges, always seeking ways to enhance support.

  • Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.

  • Work within a collaborative and agile team environment.

  • Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.

  • Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.

  • Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.

  • Thrive in an environment that highly values trust.

Tech Stack

(not mandatory to know everything; a robust learning capacity is essential)

  • High level coding language such as JVM technologies or Python

  • Docker

  • Kubernetes

  • AWS, GCP, or MaaS

  • Kafka, Cassandra, and Spark

  • ElasticSearch

  • Terraform, Chef, or Ansible

  • Experience with scaling inference across GPUs or GPU-clusters

What You'll Need:
  • Prior work experience doing data engineering and architecture in support of advanced data science use cases.

  • A deep understanding of LLM post-training methods and computational architectures.

  • Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency.

  • Be a team player.

  • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.

  • The ability to thrive in a test-driven, collaborative, and iterative programming environment.

  • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:
  • Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.

  • Prior experience in the cybersecurity or intelligence fields.

#LI-Remote
#LI-RC1

Benefits of Working at CrowdStrike:
  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

Expected Close Date of Job Posting is:10-14-2026

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