AI Systems Engineer
1 week ago
About Strativ Group
Strativ Group is a pioneering AI research organization focused on enhancing machine learning and artificial intelligence capabilities. Collaborating with prominent technology firms, they aim to create innovative AI solutions that tackle intricate challenges. This dynamic and well-supported company prioritizes teamwork and brings together specialists in computational sciences to advance AI research and its applications.
Position Overview
Strativ Group is currently experiencing significant growth, expanding collaborations with leading tech firms to develop cutting-edge AI technologies. The team has successfully created sophisticated computational tools that are being utilized in numerous AI research initiatives, and they are committed to investing in further research to refine these technologies. A crucial element of their advancement is the enhancement of their computational infrastructure to accelerate research and development cycles while optimizing the application of developed technologies. They are looking for a proficient ML engineer to spearhead this effort. Your key responsibilities will include:
- Designing, constructing, and sustaining systems for data management, extensive training, swift experimentation, and deployment of ML models.
- Developing and managing systems for distributed inference of AI models.
- Optimizing, deploying, and supporting vital computational workflows for the research team.
- Collaborating with fellow scientists and engineers to identify and implement infrastructure enhancements that boost efficiency and outcomes.
Required Qualifications
- Proven experience in developing and deploying scalable ML systems and tools that ensure a seamless transition from prototype to production.
- Strong software development expertise, with a sharp ability to design suitable abstractions while balancing complexity and flexibility.
- Demonstrated success in scaling infrastructure within a rapidly evolving startup or team environment.
- Expertise in establishing and managing automation tools (e.g., CI), development environments (e.g., Docker, AWS), and version control systems (e.g., GitHub) for ML workflows.
- Bachelor's or Master's degree in Computer Science or a closely related field from a reputable technical university.
- Minimum of 2 years in a commercial ML Engineering position.
Compensation
The compensation package for this role is competitive, with a salary of up to $225,000, offering flexibility for the right candidate. There are significant equity opportunities and a robust bonus structure available.
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