Machine Learning Research Engineer

Osaro in San Francisco

$160,000 - $175,000

We are searching for a Machine Learning Research Engineer to help us manage and improve the data collection and model training pipeline we use to train our AI software. 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 Research Engineer, you will work closely with our machine learning team to automate, manage, and validate our data collection pipelines and procedures. You will also be responsible for monitoring, training, and validating performance of our deep learning perception 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.

The US base salary range for this full time position is $160,000 - $175,000. Actual compensation is based on various factors, including but not limited to work location, job-related skills, and experience. In addition to a base salary, this role is also eligible for benefits and equity.

The above full-time position is available immediately. You should be willing to move to the SF Bay Area.
More About OSARO
OSARO is a San Francisco-based startup applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors have backed Osaro, including Peter Thiel, Jerry Yang, and Scott Banister. 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 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 matches 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
Generous vacation time
Excellent paid parental leave policy with the option for additional reduced and unpaid leave
The chance to work with robots!

The above full-time position is available immediately. You should be willing to move to the SF Bay Area.
    • Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes.
    • Training, monitoring, and validating our deep learning perception models.
    • Visualizing, debugging, and diagnosing data integrity issues.
    • Executing hands on machine learning with TensorFlow, Keras, deep learning  concepts and popular models/architectures, tools, and techniques.
    • Building ML pipelines, product features,  tooling for visualization and diagnosing ML models, tooling for data analytics, and contributing to production quality software.
    • Collecting, organizing, and presenting performance results to stakeholders.
    • Applying best practices in data science to help the team draw actionable conclusions from our data and performance results
    • 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 do whatever is needed to solve a problem
    • Strong communication skills and a proven ability to deliver under aggressive schedules
    • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer)
    • 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.
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