Applied Scientist (ML)

TL;DR

Applied Scientist (ML): Advance efficient, adaptive ML systems including online learning, gradient-free methods, and novel architectures with an accent on real-time learning and production deployment. Focus on designing and implementing end-to-end ML pipelines, shaping research and product roadmaps, and solving challenges in data, interaction, and evaluation.

Hybrid in San Francisco; Bay Area

Company

Building efficient intelligence that evolves in real-time, with flexible, personalized AI systems accessible to everyone.

What you will do

• Drive original research on efficient adaptive ML, including online learning, gradient-free methods, and novel architectures, turning advances into production systems.
• Lead end-to-end design, implementation, and deployment of ML systems from prototypes to production.
• Contribute to research direction and product strategy, identifying key problems and methods.
• Own implementation of data products, tackling novel challenges in data, interaction, and evaluation with engineering rigor.

Requirements

• 3–4 years of industry experience in machine learning or applied research, with track record of deploying ML systems solving real business problems.
• Strong software engineering skills and fluency with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
• Hands-on experience with online learning, reinforcement learning, or efficient ML architectures.
• Solid understanding of data modeling for training and curation impacts on model performance.
• Excellent communication skills to align technical work with high-level goals.
• Mindset of ownership, curiosity, and bias toward action.

Nice to have

• Experience training or fine-tuning models using human feedback, reward signals, or adaptive learning techniques.

Culture & Benefits

• In-person collaboration in the Bay Area with a distributed global-first team and team offsites.
• hirify.global Passport: annual travel stipend to explore a new country.
• Lunch stipend: weekly meal allowance for take-out or grocery delivery.
• Comprehensive medical benefits and generous paid time off.