Description review
Software Engineering Intern
Relari · San Francisco, California, US · back to the listing
HR standards
65/100
needs work
Title ↔ description
64/100
needs work
Reads as
Machine Learning Engineer
88% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About the role
You will own a scoped technical project that contributes directly to our research loop. Depending on your strengths and the team’s current bottlenecks, the work may involve training infrastructure, simulation and evaluation, multimodal data processing, robot software, visualization, or calibration tooling. This is a building role rather than a shadowing program.
What you’ll do
• Design and ship a useful component of our research, data, simulation, or robot software stack.
• Run reproducible experiments and communicate what worked, what failed, and what should happen next.
• Work with researchers and hardware engineers to test software against real data and physical systems.
• Improve reliability, observability, or usability where better tooling accelerates the team.
What we’re looking for
• Currently enrolled in a BS, MS, or PhD program in computer science, electrical engineering, robotics, or a related technical field.
• Strong programming fundamentals and practical experience in Python; C++ experience is useful for some projects.
• Evidence of building substantial software through research, coursework, open source, internships, or personal projects.
• Curiosity about machine learning, robotics, simulation, data systems, or scientific computing.
• The ability to work independently, ask precise questions, and debug unfamiliar systems carefully.
• Current enrollment in a degree program is welcome but not required if you can demonstrate the relevant ability.
Working at Relari
Relari is a small research and engineering startup developing new ways for robots to learn dexterous skills from human biomechanics. Our founders have AI research roots at MIT and NVIDIA, along with autonomous-vehicle and robotics deployment experience at Pony AI and Dexterity. We are backed by top investors including Y Combinator, General Catalyst, and Soma Capital. You will work directly with the founders, own problems end to end, and test your ideas on real robotic systems. This is an on-site internship in San Francisco.
You will own a scoped technical project that contributes directly to our research loop. Depending on your strengths and the team’s current bottlenecks, the work may involve training infrastructure, simulation and evaluation, multimodal data processing, robot software, visualization, or calibration tooling. This is a building role rather than a shadowing program.
What you’ll do
• Design and ship a useful component of our research, data, simulation, or robot software stack.
• Run reproducible experiments and communicate what worked, what failed, and what should happen next.
• Work with researchers and hardware engineers to test software against real data and physical systems.
• Improve reliability, observability, or usability where better tooling accelerates the team.
What we’re looking for
• Currently enrolled in a BS, MS, or PhD program in computer science, electrical engineering, robotics, or a related technical field.
• Strong programming fundamentals and practical experience in Python; C++ experience is useful for some projects.
• Evidence of building substantial software through research, coursework, open source, internships, or personal projects.
• Curiosity about machine learning, robotics, simulation, data systems, or scientific computing.
• The ability to work independently, ask precise questions, and debug unfamiliar systems carefully.
• Current enrollment in a degree program is welcome but not required if you can demonstrate the relevant ability.
Working at Relari
Relari is a small research and engineering startup developing new ways for robots to learn dexterous skills from human biomechanics. Our founders have AI research roots at MIT and NVIDIA, along with autonomous-vehicle and robotics deployment experience at Pony AI and Dexterity. We are backed by top investors including Y Combinator, General Catalyst, and Soma Capital. You will work directly with the founders, own problems end to end, and test your ideas on real robotic systems. This is an on-site internship in San Francisco.