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Senior Machine Learning Jobs (NOW HIRING)

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/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 ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Clearview AI

Senior Machine Learning Engineer

Washington, DC · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: Remote USA Compensation: $180,000 - $250,000 / year Description Clearview AI is the leading provider of ...

NICE Systems

Senior Machine Learning Engineer

Sandy, UT · On-site

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Alpha Business Solutions

Senior Machine Learning Engineer

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and implement algorithmic product architectures that enhance guest experiences and drive operational efficiencies. Responsibilities : • ...

Corning

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/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.

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$70 - $75/hr

About the Role We are an IT services consultancy placing a Senior Machine Learning Engineer with one of our end clients -- a growing healthcare technology organization focused on AI and Data Science.

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

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Senior Machine Learning information

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$25K

$80.3K

$163.5K

How much do senior machine learning jobs pay per year?

As of Aug 18, 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Sr Machine Learning Engineer

The Marlin Alliance, Inc.

San Diego, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
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 machine learning models and algorithms in support of naval applications.
Responsibilities:
• Design, develop, and implement machine learning models and algorithms for naval applications.
• Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
• Perform data preprocessing, feature engineering, model evaluation, and validation.
• Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
• Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
• Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
• Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
• Apply cybersecurity principles in the design and deployment of machine learning systems.
• Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
• Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
Qualifications:
Required:
• 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
• Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
• Strong programming skills in Python.
• Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with software engineering best practices, including Git.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Java, C++, Go, or Rust.
• Experience with distributed computing and parallel processing.
• Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Previous experience supporting government agencies or military organizations.
• Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
• Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
• Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
• Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
• US Citizenship is required.
• No Dual Citizenship.
• Active Secret clearance required; TS SCI clearance highly preferred.
• Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
Preferred:
• Experience with cloud-native architecture and software API design.
• Experience integrating machine learning into operational DoD systems or edge computing environments.
• Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
• Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.
Company:
The Marlin Alliance, Inc. Founded in 2002, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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