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Full Time Senior Machine Learning Engineer Jobs (NOW HIRING)

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer will be responsible for the independent development and deployment of scalable machine learning models, bridging the gap between ...

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

SageSure is a leader in catastrophe-exposed property insurance, seeking a Senior Machine Learning Engineer to optimize orchestration processes and ensure efficient model deployment. The role involves ...

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

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

Senior Machine Learning Engineer

Bethesda, MD · On-site

$111K - $153K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Senior Machine Learning Engineer

$125K - $165K/yr

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help ...

Senior Machine Learning Engineer

Bethesda, MD · On-site

$111K - $153K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions, collaborating with cross-functional teams to drive product innovation and enhance user experience.

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

As a Senior Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$110K - $152K/yr

Yum! Brands is seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms for media measurement and customer analytics. This role involves collaborating ...

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Full Time Senior Machine Learning Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do full time senior machine learning engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for full time senior 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 Full Time Senior Machine Learning Engineer vs Data Scientist?

AspectFull Time Senior Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, creates reports for business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, healthcare, research

Full Time Senior Machine Learning Engineers focus on designing, building, and deploying scalable ML models, often working closely with engineering teams. Data Scientists analyze data, develop models for insights, and support decision-making. While both roles require strong analytical skills and knowledge of ML, engineers emphasize deployment and system integration, whereas data scientists focus on data analysis and modeling for insights.

What are Full Time Senior Machine Learning Engineers?

Full Time Senior Machine Learning Engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They often lead teams, set technical direction, and collaborate with data scientists, engineers, and stakeholders to solve complex problems using data-driven approaches. Their responsibilities include selecting appropriate algorithms, optimizing model performance, and ensuring that machine learning solutions are scalable and maintainable in production environments. Senior engineers typically have several years of experience and a strong background in programming, statistics, and machine learning theory.

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

To thrive as a Full Time Senior Machine Learning Engineer, you need expertise in machine learning algorithms, statistical analysis, programming (commonly Python or R), and a relevant degree such as computer science or engineering. Experience with tools like TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and often advanced certifications in ML or data science are highly valued. Strong problem-solving, leadership, and communication skills set top candidates apart by enabling them to lead projects and collaborate effectively across teams. These skills are crucial for designing scalable ML solutions, mentoring peers, and delivering impactful business outcomes.

What types of projects and cross-functional collaboration can a Full Time Senior Machine Learning Engineer expect in their role?

As a Full Time Senior Machine Learning Engineer, you’ll typically work on complex projects that involve designing, deploying, and optimizing machine learning models for real-world applications. You can expect to collaborate closely with data scientists, software engineers, product managers, and domain experts to define project requirements, integrate models into production systems, and iterate based on feedback. This collaborative environment not only fosters innovation but also provides opportunities to mentor junior engineers and contribute to strategic decisions, making the role both technically challenging and highly impactful within the organization.
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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Monogram Health

Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position: Senior Machine Learning Engineer
The Senior Machine Learning Engineer will be responsible for the independent development and deployment of scalable machine learning models, bridging the gap between research and production, and providing technical mentorship to Machine Learning (ML) Engineers and data teams. This work will contribute to the advancement of Monogram's data science initiatives. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will utilize a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science.
Responsibilities
  • Own and implement end-to-end ML workflows, including model versioning, testing, containerization, automated deployment pipelines (CI/CD), and post-deployment monitoring for performance and data drift.
  • Independently develop and deploy scalable, robust machine learning models to support Monogram's operational and clinical objectives.
  • Conduct data analyses of large datasets to provide insights that aid strategic planning, risk assessments, and resource allocation.
  • Identify and bridge research and production gaps related to model outputs or explore alternative use cases for existing models to enhance reporting and decision-making processes.
  • Partner with program owners and data scientists to understand program goals, key performance indicators, and operational details to build and ensure that machine learning models are effectively aligned with program intentions.
  • Create and present machine learning solution proposals to program owners, aiming to secure buy-in and facilitate the implementation of data-driven solutions.
  • Identify, promote, and adhere to best practices in software development, data engineering, and machine learning to ensure high-quality and maintainable code.
  • Remain current with the latest advancements in machine learning and data science, applying new techniques and methodologies to improve model performance and reliability.
  • Continuously evaluate efficiency. accuracy, maintain and update deployed models, troubleshooting any issues that arise during deployment.

Position Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree preferred
  • Minimum of five (5) years of experience in ML Ops or DevOps.
  • Experience scaling AI products and machine learning models
  • Use of Python for machine learning model development and deployment, and using SQL, Databricks & PySpark to extract and manipulate data for data engineering tasks.
  • Experience with ML Ops tools and practices (e.g., MLflow, GitHub Actions, Docker, model registries, Azure ML).
  • Proficiency presenting technical concepts and models to business and executive stakeholders effectively.
  • Proficient in developing code and analyses following good software development practices.
  • Proficiency in packaging and deploying models in production environments, ideally using Azure cloud services.
  • Enhanced understanding of model monitoring, data drift detection, and model retraining strategies.
  • Experience with version control systems (GIT), CI/CD pipelines, and test-driven development.
  • Familiarity with cloud computing platforms, preferably Azure, for deploying and managing data science solutions.
  • Evidence of advanced problem-solving abilities and a proactive approach to identifying and addressing business challenges through data-driven solutions.
  • Demonstrated teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.

Benefits
  • Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
  • Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
  • Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts

About Monogram Health
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.