Senior Machine Learning Engineer

Base pay range

$140,000.00/yr - $170,000.00/yr

Overview

We are seeking a passionate and talented Senior Machine Learning Engineer to join our innovative tech services team. The ideal candidate will be a key player in shaping the direction and execution of our company's machine learning initiatives. You will be working with a team of data scientists, engineers, and product managers to develop and implement machine learning models that will drive business growth and enhance user experience.

A Bit About Us

DC based government consulting prime working on enterprise modernization of production systems to implement modern machine learning technologies to major production systems starting with proof of concept work through implementation at scale over the next 2-5 years.

Why join us?

• Remote Work
• Competitive Compensation Package
• Medical, Dental, and Vision
• Life Insurance, Short/Long Term Disability
• Employee Assistance Program
• 401(k) with 4% matching
• Liberal PTO vacation policy
• Generous Annual Continuing Education
• Annual Wellness Budget
• Bonus Incentive Programs (Employee referrals and performance-based rewards)

Responsibilities

• Lead evaluation of new or emerging technologies through prototypes and proofs of concept
• Analyze and clearly communicate the benefits and risks of adopting new technologies
• Serve as a hands-on technical lead across development, operations, and security in cloud environments
• Guide enterprise-wide adoption of modern tools, cloud platforms, and AI/ML solutions
• Provide technical leadership and mentorship to junior IT specialists and engineers
• Balance hands-on engineering with strategic architectural planning and system design

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Ability to obtain US Government security clearance
• 8+ years of professional experience in software engineering or IT
• Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience deploying, tuning, and maintaining ML models in production (MLOps)
• Experience with Amazon SageMaker
• Experience with cloud platforms (AWS, Google Cloud, or Azure); deep AWS experience strongly preferred
• Strong DevOps skills CI/CD pipelines, infrastructure as code (CDK or Terraform), automation, and monitoring

Full-stack development experience

• Frontend React, TypeScript
• Backend Python, Pandas, Scikit-learn
• Data PostgreSQL, S3
• Infrastructure as Code Terraform or AWS CDK
• Strong system architecture skills designed for secure, scalable systems with attention to both detail and big-picture strategy
• Excellent communication and problem-solving skills
• Ability to quickly learn and adapt to new projects and technologies

Benefits

• Remote Work
• Competitive Compensation Package
• Medical, Dental, and Vision
• Life Insurance, Short/Long Term Disability
• Employee Assistance Program
• 401(k) with 4% matching
• Liberal PTO vacation policy
• Generous Annual Continuing Education
• Annual Wellness Budget
• Bonus Incentive Programs (Employee referrals and performance-based rewards)

Equal Opportunity

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting
• Software Development