Waabi

Senior Software Engineer, Auto Labelling

Waabi$170K — $220K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Robotics, or a related technical field.
  • 3+ years of experience in developing machine learning systems or software stacks.
  • Strong understanding of ML system architecture and performance analysis tools.
  • Experience in productionizing deep learning models for large-scale online inference.
  • Proficient in Python with proven abilities in writing production-grade code.
  • Collaborative team player eager to assist colleagues.

Responsibilities

  • Participate in a multidisciplinary team of researchers and engineers.
  • Manage the orchestration of large-scale auto-labelling training and evaluation systems.
  • Design and scale data pipelines using distributed computing frameworks.
  • Collaborate with ML teams to deploy new models into production.

Benefits

  • Competitive compensation and equity awards.
  • Comprehensive health and wellness benefits including medical, dental, and vision coverage.
  • Unlimited vacation policy for work-life balance.
  • Flexible working hours and remote work options.
  • Access to daily snacks, drinks, and catered meals in the office.
  • Engagement in regular team-building activities and social events.
Full Job Description
You will...

- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.

- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.

- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.

- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.

Qualifications:

- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.

- 3+ years of experience developing solutions in ML systems or the ML software stack.

- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.

- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.

- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.

- Open-minded and collaborative team player with the willingness to help others.

Bonus/nice to have:

- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.

- Experience working with large Vision-Language Models (VLMs)

The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

- Competitive compensation and equity awards.

- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).

- Unlimited Vacation.

- Flexible hours and Work from Home support.

- Daily drinks, snacks and catered meals (when in office).

- Regularly scheduled team building activities and social events both on-site, off-site & virtually.

- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

About Waabi

Waabi is an artificial intelligence company that develops self-driving car technology. The company's focus is on developing a system that can safely and efficiently navigate complex urban environments. Waabi's technology is based on deep learning algorithms that allow the system to learn from experience and improve over time. The company was founded in 2021 by a team of experts in the field of autonomous vehicles and is headquartered in San Francisco, California.
Learn more about Waabi
Size
50 employees
Industry
Founded
2021
NASDAQ

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