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Machine Learning Engineer - job 1 of 2

At Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain data generation platform. Our platform revolutionizes the way our customers generate sensor data for AI development. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and synthetic data.

Parallel Domain envisions a future where every life on the planet is improved by the transition to safer and more equitable AI. To enable that future, we are on a mission to accelerate the development of machine perception with synthetic data.

We don't define ourselves by the boxes we check, we define ourselves by how we can develop and face challenges that elevate our true potential. We expect you to apply to an opportunity that aligns with your skills, professional goals and core values. Due to the high number of applicants, only those selected to move forward with an interview will be contacted.

What You'll Do:

You’ll be part of the ML research team tasked with establishing best practises on creating and using synthetic data for perception
You’ll develop perception algorithms, data pipelines, introspection tools, domain gap measures and domain adaptation approaches
You’ll summarize your findings to help guide our team as well as our customers
You’ll sync with your team on a daily basis to discuss progress, ideas and problems
You’ll work with veterans from the gaming, movie and automotive industry

What You'll Own:

Creating specific datasets for your experiments
Adapting/implementing cutting-edge models and data pipelines
Maintaining and optimizing our code base to enable fast experimentation
Writing tools to inspect and measure the impact of synthetic data on training
Summarizing and sharing your findings
Supporting our customers
Staying up to date with the latest research on synthetic data

About You:

You are eager to learn and to add value to the team
You are a team-player and understand the importance of clear communication
You thrive in ambiguous environments
You are not afraid to approach new challenges

What You Bring:

Master’s or PhD in computer science or a related field
Well-versed with developing machine learning models for computer vision tasks in either an industry or research environment
Extensive experience in python
Ability to write clean/maintainable code
Working knowledge of Pytorch or Tensorflow
You are fluent in english

Bonus Points:

Experience with developing, deploying and improving perception stacks on AVs
Experience with domain adaptation approaches or custom domain gap measures
Experience at a fast-growing, young company
Experience with workflow management systems such as Argo, Kubeflow, Airflow, Ray.io

Remote Information: This opportunity is open to candidates based out of the West Coast in the United States or Vancouver, Canada.

Why join Parallel Domain?

We are assembling a team of talented visionaries crafting a new technology that will change the world. You will be able to learn, build, and scale in a collaborative, creative culture that values every team member.

Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law.

We offer:

Flexibility to work from our office in the San Francisco Bay Area or your home office
Competitive compensation
Employer-paid supplemental medical, mental health, dental, and vision benefits
401(k)
Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
Paid parental leave
New hire equipment + accessories budget to optimize your setup
$1,500 annual learning and development allowance

Parallel Domain Glassdoor Company Review

4.5