Lead Machine Learning Engineer

Sorry, this job was removed at 12:07 a.m. (CST) on Tuesday, Oct 21, 2025
Hiring Remotely in USA
Remote
Cloud • Software
The Role
Who We Are

We exist to unlock human potential.
Too often, AI drains it—drains budgets, drains energy resources, drains ownership of data. OpenTeams was founded to change that. We build AI that empowers. Our models are energy-efficient, cost-effective, and fully yours. 

Our ethos is open source. That means freedom, trust, and accountability are built into every line of code. We reinvest 3% of our profits back into the open-source community, because we believe tech is most powerful when it serves everyone.
At our core, we value freedom, teamwork, accountability, and uncompromising quality. If you want to fight Goliath, and shape tools that set people free, OpenTeams is the place to do it.

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 Engineer who 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

  • 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 – With monthly HSA contributions from OpenTeams
Grow With Us

At OpenTeams, growth isn’t just about the company—it’s about you.
We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. 

Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily.
We invest  in curiosity, creativity, and ownership. That means you’ll be trusted to take big swings, supported to learn fast, and celebrated for bold thinking.

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The Company
HQ: Austin, Texas
36 Employees
Year Founded: 2019

What We Do

OpenTeams is at the forefront of open source support, offering a wide range of practice areas led by a network of Open Source Architects. With over 680 open source technologies, our team provides comprehensive services including strategy and consulting, custom development, integration, migration, and 24/7 support. Our practice areas cover various domains, such as Machine Learning Operations, Cloud Optimization, Data Science and Engineering, SaaS and Cloud Applications, Artificial Intelligence and Machine Learning, PyTorch Hardware Optimization, PyTorch Artificial Intelligence System Building, and High-Performance Systems. Each solution is staffed by experienced professionals who assist businesses in addressing specific challenges and leveraging open source technologies to achieve their goals. OpenTeams is dedicated to helping clients build better software with reliable open source support.

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