Research Scientist, Deep Learning (AI)

TL;DR

Research Scientist, Deep Learning (AI): Design, implement, and evaluate complex deep learning models, building prototypes to prove theories and advancing the frontier of machine learning. With an accent on the basics of ML (e.g., optimization, linear algebra, statistical learning theory). Focus on guiding the technical direction, ensuring code quality and experimental rigor.

Location: Mountain View or SFO

Salary: $174,000 - 252,000 USD + bonus + equity + benefits

Company

hirify.global values diversity of experience, knowledge, backgrounds and perspectives and harnesses these qualities to create extraordinary impact.

What you will do

• Design, implement, and evaluate complex deep learning models.
• Act as a primary contributor to large-scale research projects, guiding the technical direction and ensuring code quality and experimental rigor.
• Work closely with Research Engineers and cross-functional teams to integrate research breakthroughs into scalable infrastructure.
• Publish high-quality research at top-tier venues (NeurIPS, ICML, ICLR, etc.) while maintaining a focus on tangible algorithmic improvements.
• Provide technical guidance to junior researchers and engineers, fostering a culture of excellence and rapid iteration.

Requirements

• A Bachelors or Masters in Computer Science, Mathematics, or a related field, or equivalent practical experience. You must possess an expert-level grasp of the basics of ML (e.g., optimization, linear algebra, statistical learning theory).
• Extensive experience with JAX, PyTorch, or TensorFlow. You should be comfortable "getting your hands dirty" in large codebases and debugging complex distributed systems.
• A track record of leading research projects from ideation to deployment or publication.
• Evidence of building significant software, tools, or models (e.g., open-source contributions, high-impact internal tools, or large-scale model releases).

Nice to have

• Experience with large-scale distributed training and performance profiling.
• Ability to translate "blue-sky" research ideas into concrete, incremental engineering milestones.
• Strong communication skills with the ability to influence both internal stakeholders and the broader research community.

Culture & Benefits

• We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
• We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.