Senior Machine Learning Engineer
Remote U.S. | Full-Time
Compensation range: 153-198k DOE and location
A growing technology organization is seeking a Senior Machine Learning Engineer to lead the end-to-end development of production-grade ML systems. This role is ideal for someone who enjoys building reliable scalable machine learning infrastructure and translating complex product needs into measurable high-impact solutions.
Youll work closely with data scientists, engineers, and product teams to bring models from research to production-owning everything from feature pipelines to deployment monitoring and continuous improvement.
What Youll Do
- Own the full ML lifecycle, feature engineering, training workflows, deployment, inference, monitoring, and retraining
- Build and maintain scalable data and feature pipelines, including patterns that support consistent online/offline features
- Develop and optimize models across regression, classification, ranking, and recommendation use cases
- Partner across engineering and data science to develop commercial models
- Design systems that support rapid experimentation and safe rollout of new models
- Document architecture, define best practices, and mentor teammates through reviews and design discussions
What You Bring
- Strong software engineering fundamentals and clean coding practices
- Experience building and operating production ML systems, not just training models
- Understanding of the full ML lifecycle from feature generation to deployment and monitoring
- Experience designing scalable data pipelines and feature workflows
- Familiarity with feature stores or similar patterns supporting both training and inference
- Ability to design for reliability, scalability, latency, and cost efficiency
- Experience working in cloud environments (AWS preferred)
- Proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Strong communication skills and comfort collaborating with cross-functional teams
- Ability to navigate ambiguous problem spaces and turn product needs into ML solutions
- Experience Level: 5 years in ML engineering, software engineering, data engineering, or related fields
- Fluency in Python and SQL
- Proven experience designing and operating large-scale data pipelines
- Hands-on experience deploying and maintaining ML models in production
- Familiarity with orchestration or data modeling tools (e.g., Airflow, dbt)
- Experience with ranking, recommendation, or decisioning systems is a plus
Work Environment & Compensation
- Remote-friendly within the United States
- Occasional in-person collaboration depending on team needs
- Competitive salary range: 153,000 - 198,000 depending on experience
- Comprehensive benefits package, including:
- Retirement contributions
- Health coverage
- Flexible time off
- Wellness programs
- Stipends for home office and lifestyle needs
Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of:
- Race
- Color
- Religion
- National origin
- Pregnancy status
- Gender
- Age
- Marital status
- Disability
- Medical condition
- Sexual orientation
- Any other characteristics protected by applicable state or federal civil rights laws.
For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental, and vision. Employees are covered at 75%. We offer a 401K after 6 months. We do not provide paid holidays or PTO. Sick time is offered in accordance with local laws.