TL;DR
Chief ML Researcher, Product (AI): Driving forward-looking ML research to shape hirify.global’ AI platform and PaaS roadmap, translating frontier developments into clear product direction and priorities. Focus on establishing quality standards for ML-enabled services and providing senior technical leadership to strategic customers.
Location: US- remote
Salary: $200k- $300k base equity + quarterly performance bonuses
Company
hirify.global is leading a new era in cloud computing to serve the global AI economy.
What you will do
- Drive forward-looking ML research to shape hirify.global’ AI platform and PaaS roadmap.
- Convert state-of-the-art ML pipeline insights into actionable requirements and reference architectures.
- Partner with Product, Engineering, and ML teams to align platform capabilities with emerging ML workloads.
- Build strategic collaborations with universities and research labs to accelerate innovation.
- Establish quality standards for ML-enabled services, including evaluation rigor and reliability.
- Engage strategic customers to understand complex ML scenarios and translate them into requirements.
Requirements
- 10+ years of experience in machine learning research and/or applied ML.
- 5+ years operating as a senior technical leader, shaping direction across multiple teams.
- Proven ability to translate research insights into tangible product or platform impact.
- Experience engaging strategic customers in technical discussions.
- Demonstrated collaboration with universities or research labs.
- Strong technical communication record.
Nice to have
- Experience working with ML at scale, including large training runs and high-throughput inference.
- Familiarity with modern ML ecosystems and tooling (e.g., PyTorch).
- Experience defining, implementing, or improving evaluation practices.
- Prior experience in a field-facing technical leadership role.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within hirify.global.
- Flexible working arrangements.
- A dynamic and collaborative work environment.
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