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Machine Learning Engineer I

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
Entry-Level Software Engineer
In-Person
AI · Robotics

Description For Machine Learning Engineer I

OSARO is an innovative San Francisco-based startup revolutionizing the robotics industry through advanced deep learning technology. As a Machine Learning Engineer I, you'll be at the forefront of developing intelligent systems that power industrial robots, combining state-of-the-art perception algorithms with adaptive decision-making capabilities. The role offers a unique opportunity to work directly with robotics, deployment, and sales teams, building solutions that address real customer needs.

The position involves working with cutting-edge technologies including Python, Rust, Google Cloud Platform, and TensorFlow, focusing on building robust machine learning models and data pipelines. You'll be responsible for creating and adapting SOTA model architectures, implementing data science best practices, and managing data collection pipelines.

OSARO offers a collaborative environment with an international team of expert machine learning practitioners and engineers. The company is backed by prominent Silicon Valley investors including Peter Thiel and Jerry Yang, and maintains a strong focus on equality and diversity. The compensation package is competitive, ranging from $140,000 to $180,000 annually, with comprehensive benefits including health insurance, commuter benefits, and excellent parental leave.

This role is perfect for candidates who are passionate about robotics and machine learning, have strong Python programming skills, and possess a deep understanding of machine learning concepts. The position requires being based in the SF Bay Area and working from the office, offering the opportunity to work directly with hardware and collaborate closely with team members in a dog-friendly environment with catered lunches.

Last updated a month ago

Responsibilities For Machine Learning Engineer I

  • 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 I

Python
Rust
Kubernetes
  • 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 I

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

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