Who we are:

Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world’s largest automakers, we’re building self-driving technology that is engineered to scale globally and transform mobility for millions. 

Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries.

Meet the team:

The Labeling Services team provides the ground truth, supporting platform and services for labeling, training, testing and validating machine learning models, as well as any AV algorithms or systems that can benefit from accurate annotations. Our end-to-end services include request, data collection/mining, taxonomy management, automated pipelines, metrics, monitoring, validation and access/query of such data.  Endless exciting challenges exist as we develop new, innovative tools and services that incorporate, visualize, manipulate and interact with both human and machine-generated labels. Come join our team to design and develop rich data labeling services to accelerate our innovation in ML development lifecycles.

What you’ll do: 

  • Participate in the development process from planning, estimation all the way to implementation, optimization, maintenance and support in a test- and monitoring-driven environment practicing CI/CD releases
  • Leverage server side programming languages such as Java and Python to build our large scale data labeling services
  • Automate infrastructure to test, validate, and graduate product releases using Jenkins, Terraform, and Kubernetes
  • Build upon and improve existing automated data validation frameworks which are designed to improve dataset quality across all of Argo
  • Implement strong product quality, performance, and security practices
  • Design Argo internal partner and customer facing APIs and architectures to deliver labels, enrich labels, submit labeling requests and more generally manage all labeling needs
  • Investigate new approaches and technologies that can be leveraged for next generation solutions

What you'll need to succeed:

  • Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field 
  • Strong software skills in Java or Python, REST
  • Experience in building scalable backend applications
  • Experience with backend technologies: PostgreSQL, Nginx, cloud objects storage such as S3
  • Experience deploying/managing infrastructure in public cloud environments such as AWS or GCP
  • Experience mentoring junior engineers
  • Belief in rigorous, reliable, high-quality engineering that produces tangible results quickly
  • Excited in leading by example applying and evangelizing state of the art development methodologies
  • Experience with the challenges of integration, and the need to iterate quickly but with a purposeful plan to build towards larger longer-term goals
  • Excellent communication skills are required given our distributed and diverse team

Nice to haves:

  • Server side Node.js Javascript and Typescript development and architectures
  • Experience with Docker and Kubernetes
  • Experience with GraphQL APIs
  • Experience with backend technologies: AWS SQS, AWS Lambda
  • Column oriented Big Data databases such as BigQuery or RedShift
  • Experience with workflow management / orchestration frameworks (Airflow, Oozie, Luigi, Camunda BPMN)

What we offer you:

  • High-quality individual and family medical, dental, and vision insurance
  • Competitive compensation packages
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance 
  • Paid parental leave 
  • Paid medical leave
  • Unlimited vacation
  • Complimentary daily lunches, beverages, and snacks
  • Pre-tax commuter benefits
  • Monthly wellness stipend 
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Our Background:

Argo AI was founded in late 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,000-person strong company with strategic partnerships with two of the world’s leading automakers: Ford and Volkswagen. Our self-driving system is the first with commercial deployment plans for Europe and the U.S., and thanks to an ability to tap into both automakers’ global reach, our technology platform has the largest geographic deployment potential of any self-driving technology to date.

At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees.

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Voluntary Demographics

Argo AI is committed to building a diverse and inclusive team of varying backgrounds and perspectives, with the shared goal of making transportation safer and more accessible, affordable, and convenient for all. We recognize the moral and ethical responsibility to create an environment that encourages learning about one another in order to foster an engaging and collaborative workplace.

Our policy is that qualified individuals with disabilities not be discriminated against because of their disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. We are pleased to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process. If you require a reasonable accommodation during the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please contact accommodations@argo.ai.

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