Lead Machine Learning Engineer

Employment Type: [Not Specified] Location Type: Remote (U.S. Preferred) Salary: [Not Specified]

Who We Are

At OpenTeams, we are at the forefront of AI innovation, building cutting-edge products and providing strategic consulting services that transform businesses. We are a dynamic team passionate about leveraging artificial intelligence to solve complex challenges and create impactful solutions, all 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.

About the Role

We're looking for an experienced Lead Machine Learning Engineer who thrives at 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.

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

• Medical, Dental & Vision: 100% paid for employees, 75% for dependents.
• 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.

Application Instructions

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