research scientist

Signify Technology; San Francisco (CA); On-site; USD 136,000 - 213,000; Full time

Job summary

Signify Technology is seeking a research scientist to join their innovative team in San Francisco. You will engage in cutting-edge research focused on autonomous agents, working alongside talented peers to shape products used at scale. Ideal candidates should have advanced degrees in relevant fields and a passion for applied AI. This role offers an excellent opportunity to influence company culture and direction while driving core innovation.

Qualifications

• Proven track record of high-quality research through papers or real-world deployments.
• Hands-on experience training large models on distributed infrastructure.
• Willingness to work across the stack from modeling to debugging.

Responsibilities

• Invent and prototype new methods in various AI domains.
• Deploy AI solutions at scale using large compute clusters.
• Collaborate closely with engineering to integrate research into tools.

Skills

Machine learning

Reinforcement learning

NLP

Distributed systems

Prototyping

Education

Graduate degree in machine learning or related fields

Tools

PyTorch

JAX

Job description

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About The Role

We’re assembling a world-class research group focused on making that vision a reality. If you're excited by open-ended technical challenges and want your work to directly shape a product used at scale, read on.

Research engineer (founding)

san francisco - onsite 4 days per week

Jr -0 mid level candidates

About The Role

We’re assembling a world-class research group focused on making that vision a reality. If you're excited by open-ended technical challenges and want your work to directly shape a product used at scale, read on.

What You’ll Do

As a foundational member of our research team, you'll work across the stack—from algorithm design to deployment—to unlock new capabilities in autonomous agents.

You Will

• Invent and prototype new approaches in planning, memory, multi-agent systems, and learning from human feedback.
• Deploy at scale, with real users and datasets, running experiments across large compute clusters and iterating rapidly.
• Design practical systems, working closely with engineering and product teams to integrate research into production-ready tools.
• Define best practices around model evaluation, safety, and alignment, helping establish a research culture focused on impact and rigor.
• Mentor and collaborate, working with engineers, interns, and collaborators from different backgrounds to maximize team output.
  
  
  

What We’re Looking For

• A graduate degree (or equivalent experience) in machine learning, reinforcement learning, NLP, or related fields.
• A track record of high-quality research—through papers, open-source work, or real-world deployments.
• Proficiency in frameworks like PyTorch or JAX, and hands-on experience training large models on distributed infrastructure.
• A willingness to dig into all levels of the stack—from modeling to debugging data pipelines or UX prototypes.
• Passion for fast-paced, collaborative work and an eagerness to ship working systems—not just write about them.
• Availability for in-person work in the San Francisco Bay Area.
  
  
  

Why This Role?

You’ll Have The Chance To

• Drive core innovation in one of the most ambitious areas of applied AI.
• See your research make it into users’ hands—fast.
• Shape both the culture and direction of a company in its earliest stages.
• Work with peers who combine academic depth with startup speed.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Staffing and Recruiting

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