We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications.

As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.

Examples of the work you will be doing

Building product features, data pipelines, and tooling for visualizing and understanding machine learning models
Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems
Applying best practices in data science to help the team draw actionable conclusions from our data and performance results
Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes
Collecting, organizing, and presenting performance results to stakeholders

Technologies you will work with

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

Qualifications

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

Nice to haves

Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques
Experience with 3D scene understanding and object detection/segmentation from vision
Experience with robotic manipulation hardware: arms, 3D cameras, force sensors
Experience working independently on large, shared code bases and infrastructure
Experience with big data processing tools: Spark/Hive/BigQuery etc.

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

Generous 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.