Design and build of ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
Maintain and improve existing pipelines, ensuring stability over existing requirements and adapting to new needs.
AWSPythonSQL+3 more
About OpenTeams
OpenTeams is pioneering the future of AI by ensuring it remains open, transparent, and empowering. Unlike proprietary systems that lock in data and insights, OpenTeams delivers open-source AI solutions, allowing enterprises and governments to truly own their AI infrastructure. They focus on developing and deploying AI that is energy-efficient, cost-effective, and fully auditable, serving a global clientele that includes major tech companies, financial firms, biotech, and government agencies. Founded in 2019 and headquartered in Austin, Texas, OpenTeams was built on the legacy of its founder, Travis Oliphant, who created foundational open-source libraries like NumPy and SciPy, critical to modern AI.
How We Work
At OpenTeams, you'll find a culture deeply rooted in the ethos of open source: freedom, trust, and accountability. They champion participation from diverse backgrounds, fostering mutual respect, tolerance, and continuous learning. Collaboration is key, with a strong emphasis on teamwork and collective progress. OpenTeams believes in empowering individuals, trusting them to make the right decisions, and fostering a passion for ongoing learning.
Engineering at OpenTeams
Engineers at OpenTeams are building the future of open-source AI, developing transparent and customizable solutions that break down vendor lock-in. You will work with cutting-edge deep learning frameworks like PyTorch and TensorFlow, refining models and optimizing training pipelines for efficiency and scalability. Their technical approach involves implementing techniques from recent academic research, directly translating innovative ideas into production systems. They contribute to projects like NumPy, SciPy, and Nebari, influencing the very tools that power modern AI. The team tackles challenging problems in areas like customer behavior prediction and secure, auditable AI deployments for diverse sectors including biotech, investment, and government.
Why Join Us
Shape tools that liberate human potential, making AI more transparent, ethical, and empowering.
Collaborate with global experts and contribute to impactful open-source projects that power the world’s technology.
Work at the edge of your potential, with opportunities to implement cutting-edge academic research.
Be part of a team that invests in curiosity, creativity, and ownership, trusting you to take big swings.
Benefits & Perks
Competitive salary range of $145,000 - $250,000 USD (dependent on experience and location).