Principal Machine Learning Engineer

Mavent Analytics; United States; Remote; USD 200,000 - 250,000; Full time

Job summary

Mavent Analytics seeks a Principal Machine Learning Engineer to innovate in ML solutions, mentor a top-tier team, and drive business impact. You will work with AWS and cutting-edge technologies in a flexible, remote-first environment, pushing the boundaries of ML applications while ensuring operational excellence.

Benefits

Annual bonus and RSUs

Access to cutting-edge ML tools

Mentorship-driven culture

Flexible work environment

Qualifications

• 10+ years in ML engineering with a mix of software engineering.
• Experience in technical leadership or mentorship roles.
• Strong problem-solving skills and innovative mindset.

Responsibilities

• Lead ML solutions using AWS tools to maximize business impact.
• Mentor ML engineering team and foster continuous learning.
• Develop and optimize ML infrastructure for scalability.

Skills

Machine Learning

Deep Learning

Natural Language Processing

AWS

Python

Education

Masters in Computer Science, Data Science, ML

Ph.D. preferred

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Terraform

Job description

This range is provided by Mavent Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Additional compensation types

Annual Bonus and RSUs

Direct message the job poster from Mavent Analytics

Principal Machine Learning Engineer - Remote U.S. - 5% travel to Chicago-area

Our client is seeking a Principal Machine Learning Engineer to drive ML innovation and business impact. As a hands-on leader, you will leverage AWS tools and open-source technologies to build, deploy, and scale the infrastructure to support ML models. You will mentor an ML team, partner with business stakeholders and product teams, and explore cutting-edge techniques - including Generative AI - RAG / LLMs / Vector DB search / deep learning - to align ML/AI solutions with strategic company goals. This is a senior director level role - independent contributor (no direct reports).

*The ideal candidate for this role possesses a strong hands-on background in software engineering / machine learning / architecture (MLOps, DevOps, LLMOps), combined with an innovative, research-driven mindset. While our client is not developing GenAI from the ground up, there are exciting opportunities to build applications leveraging foundational models to serve millions of end users. There will be a mix of managing classical models in production and building and scaling the infrastructure to support GenAI / LLMs.

Key Responsibilities:

• Lead ML Innovation: Develop and refine ML solutions using AWS tools and open-source to maximize business impact.
• Mentorship & Coaching: Guide the ML engineering team, fostering growth and continuous learning.
• Hands-on Execution: Split time between model development, deployment, monitoring, and optimization (50%) and research & development (50%).
• Cross-functional Collaboration: Partner with the Principal Data Scientist and key stakeholders to drive new GenAI / deep learning use cases while providing guidance on enhanced ML platform architecture to support future needs.
• Research & Industry Awareness: Stay current with emerging ML/AI technologies and best practices; leverage 3rd party sources / white papers.
• Platform Optimization: Improve ML infrastructure for scalability, efficiency, and cost reduction; support existing classical learning models in production and plan for GenAI / LLMs.

Education & Experience Requirements:

• Education: Masters in Computer Science, Data Science, ML, or a related quantitative field (Ph.D. preferred).
• Experience: 10+ years in ML engineering or combination of ML engineering with software engineering and AI engineering with 3+ years in a technical leadership or mentorship role.

Technical Expertise:

• Strong knowledge in ML algorithms, deep learning, NLP, and GenAI techniques - for deployment / infrastructure scaling competencies.
• Proficiency in AWS ML services (SageMaker, Bedrock, ECS) and MLOps practices or similar cloud services (i.e. GCP, Azure), model registry, versioning, and A/B testing
• Proven ability to build and manage CI/CD, containers, and orchestration (i.e. Dagster, Kubeflow, Flyte)
• Advanced Python programming skills with experience in TensorFlow, PyTorch, Scikit-learn, Infrastructure as code (IaC) (i.e. CloudFormation, Terraform).
• Expertise in data pipelines, feature engineering, and model lifecycle management, need to be proficient in APIs and microservices architecture.
• Familiarity with RAG and vector databases (i.e. Pinecone, FAISS, Elasticsearch) - distributed computing.
• Proven ability to mentor engineers and drive strategic ML/AI direction & ML operational excellence.
• Strong problem-solving skills and an innovative mindset.
• Ability to collaborate with cross-functional teams and communicate ML concepts effectively.
• Comfortable in a fast-paced, evolving environment.

Why Apply?

• Autonomy & Innovation: Shape ML/AI strategies with direct business impact.
• Continuous Learning: Work with the latest ML technologies.
• Career Growth: Opportunity to lead and scale ML initiatives.
• Collaborative Culture: Engage with executives and industry experts.

What You will Get:

• Competitive salary, annual bonus, and long-term incentives
• Flexible, remote-first work environment (approx. 5% travel)
• Access to cutting-edge ML tools and mentorship-driven culture

If you are excited about leading ML innovation & operational excellence, while mentoring a top-tier team, apply now!

*Mavent Analytics and our client engages in ways that embrace diversity of race, ethnicity, culture, gender identity, age, sex, disability and experience.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Transportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at Mavent Analytics by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Get notified when a new job is posted.

Sign in to set job alerts for “Machine Learning Engineer” roles.

United States $100,000.00-$720,000.00 1 week ago

United States $170,000.00-$720,000.00 6 days ago

Machine Learning Engineer, Search (multiple levels)

United States $185,800.00-$322,000.00 1 week ago

Machine Learning Software Engineer L4/L5

United States $100,000.00-$720,000.00 1 week ago

Machine Learning Engineer (L5) - Studio Media Algorithms

United States $210,000.00-$260,000.00 3 weeks ago

Machine Learning Engineer (L4/5) - Studio Media Algorithms

United States $170,000.00-$720,000.00 1 day ago

Software Engineer L4/L5, Training Platform, Machine Learning Platform

United States $100,000.00-$720,000.00 5 days ago

Machine Learning Engineer (L5) - Content and Studio

Software Engineer - AI/ML, Multiple Locations

Redmond, WA $81,900.00-$174,600.00 1 week ago

Software Engineer - AI/ML, Multiple Locations

United States $81,900.00-$174,600.00 6 days ago

New York, NY $140,000.00-$200,000.00 8 months ago

United States $180,000.00-$200,000.00 21 hours ago

United States $85,000.00-$95,000.00 1 week ago

United States $150,000.00-$750,000.00 6 days ago

Machine Learning Software Engineer (L5) - Promo Media & Marketing

Data Scientist (L5) - Customer Service Experimentation

California, United States $120,000.00-$150,000.00 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.