Lead Machine Learning Engineer

OSPN; Mississippi; Remote; USD 120,000 - 170,000; Full time

Job summary

A leading company in AI innovation is seeking a Lead Machine Learning Engineer to drive ML initiatives. This fully remote position requires extensive experience in deploying ML systems, strong leadership skills, and the ability to collaborate across multidisciplinary teams. Join a passionate team dedicated to ethical AI and open source solutions.

Benefits

401(k) Match – Up to 5% with full vesting after 2 years

Unlimited PTO – Minimum of 15 days off annually

Up to $3,000 equipment reimbursement for fully remote setup

Continuous Education reimbursement up to $500

100% employer-paid Disability & Life Insurance

HSA & FSA Options with contributions from OpenTeams

Qualifications

• Extensive experience in deploying and monitoring ML models in production environments.
• Advanced Python skills, with a deep understanding of ML frameworks.
• Proven track record in leading technical projects and teams.

Responsibilities

• Lead the design, development, and deployment of scalable ML systems.
• Collaborate with cross-functional teams to provide impactful ML solutions.
• Mentor and guide other engineers in developing their skills.

Skills

Python

TensorFlow

PyTorch

Machine Learning

Leadership

Collaboration

Communication

Education

Master's degree or higher in Computer Science, AI, or related field

Job description

At OpenTeams we’re at the forefront of AI innovation, building cutting-edge products and providing strategic consulting services that transform businesses. We’re a dynamic team passionate about leveraging artificial intelligence to solve complex challenges and create impactful solutions — while staying true to the open source ethos. We empower enterprises with fully customizable AI solutions while ensuring ownership of proprietary data, codebases and insights.

We value freedom, trust, teamwork, accountability, quality, and limitless human potential. We dedicate 3% of our profits to the open source community. If you value David vs Goliath situations, we’re the place for you.

Job Title: Lead Machine Learning Engineer

Location: Remote (U.S. Preferred)

Work Authorization: Must be authorized to work in the United States

About the Role

We’re looking for an experienced Lead Machine Learning Engineerwho thrives on the intersection of advanced ML, robust software engineering, and strategic leadership. In this role, you’ll help build and lead a team of ML engineers, collaborate with cross-functional partners, and lead the technical vision for our ML initiatives to ensure our products and solutions are reliable, efficient and impactful for our clients. We expect our engineering leads to be deeply technical and hands on keyboard.

This role is ideal for someone who enjoys solving complex technical challenges, has a strong track record of deploying ML pipelines in production, and thrives in dynamic, customer-focused environments. You’ll help build systems that work across a wide range of infrastructure - from bespoke enterprise stacks to modern open solutions - so flexibility and solid engineering instincts are key.

What You’ll Do

• Lead the design, development, and deployment of scalable, robust, and efficient ML systems, from data ingestion to model serving and monitoring.
• Develop and implement comprehensive monitoring frameworks to track models and ML systems' performance, identify potential issues and bottlenecks, and ensure optimal performance and health in production environments.
• Collaborate closely with Data Scientists, Data Engineers, Infrastructure teams, and clients to translate complex business problems into robust and impactful ML solutions.
• Provide technical mentorship and direction to other engineers on the team, fostering their professional growth and promoting a culture of technical excellence and continuous learning.
• Maintain clear and thorough documentation to support knowledge sharing and future development.
• Design scalable model serving solutions for open-source and foundation models.
  
  

What We’re Looking For

• Proven experience in deploying, managing, and monitoring machine learning models in production environments at scale
• Advanced Python proficiency, including expertise in ML frameworks (TensorFlow, PyTorch, etc.)
• Proven ownership of high-impact machine learning systems or products and in-depth understanding of the ML lifecycle.
• Strong technical leadership experience, especially in guiding engineering teams and leading technical projects.
• Deep experience with feature engineering and/or feature store implementations
• Excellent written and verbal communication skills
• Ability to collaborate effectively across multidisciplinary teams and influence technical decisions.
  
  

Bonus Points

(Not required, but nice to have)

• Experience leading remote teams
• Previous experience contributing to open source ML, MLOps, or data projects and communities

What We Offer

• 401(k) Match – Up to 5% with full vesting after 2 years
• Unlimited PTO – With a required minimum of 15 days off annually
• Fully Remote Setup – Includes up to $3,000 equipment reimbursement
• Continuous Education – Includes up to $500 reimbursement
• Disability & Life Insurance – 100% employer-paid
• HSA & FSA Options – With monthly HSA contributions from OpenTeams

Grow With Us

AI is transforming industries at an unprecedented pace, and we’re leading the charge with open source innovation. At OpenTeams, you won’t just be another cog in the machine—you’ll be part of a passionate, remote-first team pioneering the future of AI.

We believe in building AI differently: with transparency, collaboration, and a commitment to empowering businesses with complete control over their data, code, and insights. Our team thrives on solving real-world challenges, crafting ethical AI, and contributing to the open source projects driving the AI revolution.

Join us in shaping the future of AI.

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To be considered for this role, please provide a link to your GitHub, portfolio, or any relevant public code repositories. *

Have you led a team or technical project before? If so, please describe the scope of your role and how you supported the team’s success. *

Which ML frameworks and tools have you used in production (e.g., PyTorch, TensorFlow, MLflow, Feature Stores, etc.)? Please list your level of experience with each. *

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