About Bifrost

At Bifrost, we believe that AI has the power to transform lives across the globe. Our goal is to make this future a reality by empowering today's builders with the tools to surpass the physical limitations of our world.

We've developed generative AI tools that enable users to create stunning 3D worlds and synthetic images. Our users train Physical AI systems in record time, unlocking incredible new capabilities like landing spacecraft on Mars, detecting pirates in the Atlantic Ocean, and mapping the world's changing infrastructure from space.

tl;dr

• Work on cutting-edge computer vision problems with real-world impact. Help build and deploy products that land spacecraft on Mars, protect fragile rainforests, and detect pirates at sea

• Become a key partner for our customers by working closely with their teams to identify challenges and co-develop tailored AI and computer vision solutions

• Be part of an exceptional, ambitious, and diverse team

• Competitive salary and equity compensation

• Backed by the world's best investors: Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Lux Capital, Wavemaker Partners, Techstars and more

• Guided by esteemed mentors from world-class organizations such as NASA, YC & Google
  Committed to helping you grow personally and professionally

• Learn about startups, VC, AI, space, robotics, and autonomous vehicles

Your Main Quest

We’re hiring an Applied AI Scientist to co-build next-generation workflows for perception AI.

You'll own technical experiments and publish hard evidence around synthetic data for perception and autonomy.

This is a focused, execution-heavy role. You'll collaborate on the vision with the Founders (CEO & CTO), Head of AI, and Product/Engg leaders, do the science, and share it with the industry.

Key Responsibilities:

• Design and publish credible evaluations of synthetic data in applied ML tasks

• Design and productise the next-generation workflow for perception AI

• Collaborate with the biggest perception companies already building with synthetic data

• Do the science and communicate it to the world

• Build an intuitive understanding of Bifrost's platform, customers and real world applications

• Serve as a technical thought partner to the Head of AI and contribute to benchmarks, white papers and cutting edge research

• Become a recognised voice of the company in the industry, representing Bifrost at live/virtual events, meetups, and within technical communities

Qualifications:

• You can independently design and run high-quality experiments that resonate with real ML teams, driving product and customer decisions

• You know how to run good science and explain why it matters

• You understand how applied research supports real products and users

• You have strong ML fundamentals, especially in computer vision, model evaluation, LLM/VLMs, and data analysis

• Strong academic background - PhD or Masters (minimum) in AI, Computer Science or a related field

• 2-4 years of professional experience with hands-on expertise in AI, Computer Vision, Machine Learning in Big Tech or Startups (NOT transitioning directly from academia)

• Experience in independently developing benchmarks, authoring white papers, leading research initiatives and presenting at premier conferences in the domain

• Excellent communication and presentation skills, able to distill complex technical concepts into actionable insights for technical and non-technical audiences

• Bonus: Experience in synthetic data, 3D, portfolio of research projects and white-papers, previously held AI roles in Big Tech or Startups

Why Bifrost?

• Inclusive, judgment-free and safe space to be yourself

• Small team with intellectual autonomy - no red tape and bureaucracy to wade through

• Project ownership - take charge and unleash your skills!

What it's like working with us
Enjoy a focused, dedicated working environment where we never forget how to have a bit of fun! We love out-of-the-box thinkers and problem-solvers who relish collaboration and growth.

Application Details

We'd like to receive:

• CV

• Linkedin Profile

• Examples of your research projects and white papers