Senior Staff Software Engineer, ML Datasets & Data Pipelines

Waabi

Job Location:

Toronto - Canada

Monthly Salary: $ 148000 - 260000

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Waabi founded by AI visionary Raquel Urtasun is the leader in Physical AI. With a world-class team were unlocking the next era of autonomous transportation with technology thats powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI automotive logistics and deep tech.

With offices in Toronto San Francisco Dallas and Pittsburgh Waabi is growing quickly and looking for diverse innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit:

As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team you will build the scalable ML data pipelines necessary to train and evaluate Waabis autonomous driving platform. Working closely with world-renowned scientists and engineers you will solve complex data challenges to accelerate our launch of fully driverless vehicles.

You Will..

- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.

- Optimize data formats caching and dataloading to drive highly efficient ML training and evaluation at scale.

- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.

- Champion engineering excellence by writing high-quality well-structured and rigorously tested code.

- Help drive project roadmap planning prioritization and delivery.

Qualifications:

- BS or MS in Computer Science Machine Learning or a related technical field with 4 years of industry experience.

- Proficiency in Python and strong software engineering fundamentals including experience with deep learning frameworks such as PyTorch TensorFlow or JAX.

- Hands-on experience building distributed ETL and data processing pipelines.

- Direct experience managing ML pipelines including dataset management dataloading and optimization.

- Strong understanding of cloud job orchestration monitoring and instrumentation best practices.

- A collaborative open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.

Bonus Points:

- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.

- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow Apache Beam Google Cloud Dataflow AWS Step Functions).

- Experience solving data challenges specific to autonomous driving.

- Familiarity with linear algebra (projections transforms) and 3D geometry.

- Experience working with multimodal sensor data (e.g. LiDAR RADAR camera).

The US yearly salary range for this role is: $148000 - $260000 USD in addition to competitive perks & benefits. Waabi (US) Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys 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!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive inclusive and accessible workplace for all our employees. We seek applicants of all backgrounds and identities across race color ethnicity national origin or ancestry age citizenship religion sex sexual orientation gender identity or expression military or veteran status marital status pregnancy or parental status caregiver status disability or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Staff IC