Machine Learning Engineer

San Francisco
Machine Learning /
Full-time /
At OSARO we develop solutions to endow industrial robots with the level of autonomy needed to perform an unprecedented variety of complex pick and place tasks leveraging sophisticated robot control and neural network-based perception algorithms.  You are a good fit if you are passionate about what you build, you feel a strong sense of ownership, and you love dynamic challenges. You care deeply about your team, you’re direct and you believe in doing what you say. 

As a Machine Learning Engineer you will work on developing, deploying, monitoring, optimizing and debugging our Machine Learning models, infrastructure and systems that are core to our industrial robotic solutions.

Examples of the work you will be doing

    • Porting our model inference-as-a-service code from Python to Rust
    • Optimizing our automated model retraining system
    • Debugging issues with deployed robots related to the machine learning systems
    • Migrating our machine learning computing cluster from the cloud to on-prem
    • Managing cloud permissions for various machine learning systems
    • Implementing & testing new machine learning/perception capabilities

Technologies you will work with

    • Python
    • Rust
    • Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage)
    • Airflow
    • Kubernetes
    • Terraform
    • gRPC
    • Tensorflow
    • CI/CD


    • B.S. or higher degree in math, physics, computer science or related STEM field
    • Strong Python programming skills (writing and debugging code)
    • Strong problem solving skills that are backed by a growth mindset and humility (we work on difficult problems that span multiple domains with imperfect information & real world resource constraints)
    • Strong communication skills (developing performant robotic solutions requires cross-team communication/collaboration)
    • Knowledge of key concepts in machine learning (particularly deep learning)
    • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer)

Nice to haves

    • Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)
    • Experience with robotics: arms, RGBD cameras, force sensors, etc
    • Experience deploying machine learning models and/or systems in production
    • Experience working in startups/startup-like environment
$140,000 - $180,000 a year
Actual compensation is based on various factors, including but not limited to job-related skills, and experience.
More About OSARO

OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic.

We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.

We are an equal opportunity employer who offers
Health, dental, vision, and commuter benefits & stipend
Catered lunches in a dog friendly office, phone and learning stipend
Unlimited vacation time
Excellent paid parental leave policy with the option for additional reduced and unpaid leave

The above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position.