Who we are:

Argo AI is a global self-driving products and services company on a mission to make the world’s streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities. 

With experienced leaders in the field and collaborative partnerships with some of the world’s top consumer brands, we’re working block by block, city by city to empower people and businesses to be more successful. We’re individuals driven by strong values to solve complex problems together. Come join us to reimagine the human journey.

Meet the team:

The ML Data & Platform organization consists of multiple teams responsible for delivering the software tools, data pipelines, and platforms that power machine learning at Argo AI. The organization delivers a multitude of full stack web applications used to label various types of sensor data including Camera, LiDAR, Radar, and Audio. It also owns the data pipelines that extract and prepare data for labeling as well as the services layer used to deliver labeled data to ML teams at Argo. Another critical responsibility of the organization is the ongoing development and support of Argo’s ML Platform, used to generate data sets, automate common ML workflow activities, and train ML models at massive scale. These capabilities are central to the continued advancement and refinement of our autonomous vehicle system. We are looking for an exceptional Senior Software Engineering Manager to lead the entire ML Data & Platform organization.

What you’ll do: 

  • Own the entire ML Data & Platform organization including management of Engineering Managers, Technical Leads, Software Engineers, and Data Engineers responsible for the delivery of all Labeling tools, our ML Platform, and associated data pipelines
  • Attract, hire, and develop the best software and data engineers available
  • Work with the senior leadership of Autonomy, Perception, and Operations teams to understand their short & long term needs and lead the delivery of solutions to address them
  • Leverage your deep technical and managerial expertise to collaborate with teams across Argo to define and build state-of-the-art Data Labeling and ML architectures & systems
  • Become the organizational expert / go to person for all things Labeling and ML Platform at Argo, and be recognized as a domain expert both inside and outside of the company

What you'll need to succeed:

  • Degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, Robotics or a related field
  • 15+ years of total experience with 5+ years managing large Software / Data Engineering organizations, including substantial experience managing and developing other Engineering Managers and Tech Leads
  • Significant experience leading Software and Data Engineers in ML, Data Labeling or Data Platform organizations
  • Experience leading Software Engineering teams responsible for full stack development, preferably with significant exposure to React, TypeScript, WebGL, Python, Java and cloud services (AWS or GCP)
  • Experience leading Data Engineering teams building data pipelines and platforms with tools like Spark, Postgres / MySQL, Airflow
  • Strong team player that can collaborate and communicate effectively within and between teams at all levels of the organization, up to and including the President & CEO of the company
  • Outstanding track record of delivering outsized value to clients and managing customer / leadership expectations
  • Experience building highly scalable, reliable, and maintainable data systems
  • Prior experience working as a lead or senior level software engineer 
  • Excellent presentation, communication, and organizational skills

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 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,700-person strong company with strategic partnerships with some of the world’s leading consumer brands. With global headquarters in Pittsburgh, we operate in eight cities across the U.S. and Germany in areas where self-driving technology can have the biggest impact on improving safety, traffic, and transportation equity.

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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