Machine Learning Engineer

San Francisco-based startup applying deep learning technology to next-generation robotics applications, building brains for robots on an industrial scale.
$140,000 - $180,000
Machine Learning
Mid-Level Software Engineer
In-Person
51 - 100 Employees
3+ years of experience
AI · Robotics

Description For Machine Learning Engineer

OSARO is an innovative San Francisco-based startup revolutionizing the robotics industry through advanced deep learning technology. As a Machine Learning Engineer, you'll be at the forefront of developing intelligent systems that combine state-of-the-art perception algorithms with adaptive decision-making capabilities for industrial robots. The role offers a unique opportunity to work with a highly international team of expert ML practitioners and engineers, directly impacting the development of autonomous robotic systems.

You'll be responsible for building crucial product features, developing data pipelines, and creating sophisticated machine learning models using technologies like Tensorflow and PyTorch. The position requires strong Python programming skills and deep learning expertise, offering the chance to work with modern tools including Google Cloud Platform, Kubernetes, and Rust. You'll collaborate closely with robotics, deployment, and sales teams to identify and solve customer needs through ML solutions.

The company, backed by notable Silicon Valley investors including Peter Thiel and Jerry Yang, offers a competitive salary range of $140,000-$180,000 along with comprehensive benefits. OSARO values diversity and inclusion, providing an environment where curiosity and healthy debate thrive. The position is based in their San Francisco office, where you'll join a team focused on building transformative robotics solutions that "work like magic."

This role is perfect for someone who combines technical expertise with a passion for practical AI applications, values ownership of their work, and wants to be part of a company making significant strides in industrial robotics. The position offers the opportunity to work on challenging problems while contributing to the future of autonomous robotics systems.

Last updated 16 hours ago

Responsibilities For Machine Learning Engineer

  • Building product features, data pipelines, and tooling for visualizing and understanding machine learning models
  • Creating and adapting SOTA model architectures in Tensorflow or PyTorch
  • Applying best practices in data science to draw actionable conclusions
  • Working with ML team to automate, manage, and validate data collection pipelines
  • Collecting, organizing, and presenting performance results to stakeholders

Requirements For Machine Learning Engineer

Python
Kubernetes
Rust
  • B.S. or higher degree in computer science or related engineering field
  • Excellent Python programming skills
  • Experience with Tensorflow or similar deep learning framework
  • Knowledge of key concepts in machine learning and data science
  • Familiarity with big data and databases (BigQuery)
  • Strong ethic of self-reliance and project ownership
  • Strong communication skills
  • Ability to determine reasonable timelines and deliver results
  • Legal authorization to work in the U.S.

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Commuter Benefits
Parental Leave
  • Health, dental, vision insurance
  • Commuter benefits & stipend
  • Catered lunches
  • Dog friendly office
  • Phone stipend
  • Learning stipend
  • Generous vacation time
  • Excellent paid parental leave

Interested in this job?

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