Job summary
Job post source
This job is directly from Oumi
Job overview
The ML Engineer at Oumi will build and maintain scalable infrastructure for their open AI platform, enabling efficient AI model development and deployment.
Responsibilities and impact
The role involves designing and maintaining training infrastructure, implementing ML pipelines, optimizing performance, automating deployment, and collaborating with research teams to support platform needs.
Compensation and benefits
The position offers a competitive salary range of $140,000 to $220,000, equity in a high-growth startup, comprehensive health, dental, and vision insurance, 21 days PTO, and regular team offsites and events.
Experience and skills
Candidates should have proven experience in platform engineering or DevOps, strong ML knowledge, proficiency in Python, experience with cloud platforms like AWS or Google Cloud, and familiarity with open-source projects.
Work environment and culture
Oumi values beneficial impact for all, customer obsession, radical ownership, exceptional teammates, and science-grounded approaches, fostering an open-source and collaborative environment.
Company information
Oumi is an open-source first company focused on building an all-in-one AI platform and developing open foundation models in collaboration with academia and the community.
Unique job features
The job is unique in its open-source first approach and community-powered development model, emphasizing collaboration and cutting-edge AI research integration.
Company overview
Oumi, short for Open Universal Machine Intelligence, is a Palo Alto-based company dedicated to advancing artificial intelligence through openness and accessibility. The company provides an all-in-one platform for building state-of-the-art AI models, covering the entire process from data preparation to production deployment. Oumi's mission is to foster collaboration among researchers, developers, and institutions, making cutting-edge AI tools more universally available. Founded by former engineers from Google and Apple, Oumi emphasizes open-source principles, aiming to become a transformative force in the AI ecosystem.
How to land this job
Tailor your resume to highlight your experience in platform engineering and DevOps, emphasizing your skills in infrastructure-as-code and cloud technologies such as AWS, Google Cloud, or Azure, which are critical for Oumi's ML Engineer role.
Focus on showcasing your expertise in machine learning workflows including data preparation, model training, evaluation, and deployment, along with your proficiency in Python and software development best practices.
Apply through multiple channels including Oumi's official corporate website and LinkedIn to maximize your visibility and chances of landing an interview.
Connect with current Oumi employees in the AI platform or engineering divisions on LinkedIn; use ice breakers like commenting on their recent open-source contributions, expressing enthusiasm for Oumi’s mission to democratize AI, or asking about their experience working on scalable AI infrastructure.
Optimize your resume for ATS by incorporating keywords from the job description such as 'platform engineering,' 'infrastructure-as-code,' 'cloud technologies,' 'machine learning pipelines,' 'scalability,' and 'open source' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate application submissions across multiple platforms, tailor your resume for ATS compatibility, and identify key LinkedIn connections to network with, saving you valuable time and increasing your chances at Oumi.
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