Senior / Staff Software Engineer, ML Datasets & Data Pipelines
Waabi · Toronto, ON
Posted about 3 months ago · $148,000 - $260,000
or apply directly on Waabi's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 79 days Waabi's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 65% of Waabi's roles list one
- Ghost-job risk at Waabi
- high 81 stale, 2 reposted of 88 open
- Hiring momentum
- 97 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Waabi's own lever board since 2026-08-04. Full hiring picture for Waabi.
About this role
As a Senior/Staff Software Engineer on the Autonomy & Algorithms team at Waabi, you will design and implement scalable ML data pipelines to train and evaluate autonomous driving models. Your role involves optimizing data formats and sampling, writing high-quality code, and collaborating with scientists and engineers to address complex data challenges. Additionally, you will contribute to project planning and delivery.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Waabi as an employer.
What you need
- BS or MS in Computer Science, Machine Learning, or a related technical field
- 4+ years of industry experience
- Proficiency in Python
- 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
Nice to have
- 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)
What you get
- 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
Worth weighing
- No specific salary listed for the Canadian position, only US salary range provided
- Role involves working with complex data challenges in a cutting-edge field, which may require a steep learning curve
- Emphasis on collaboration and mentoring may indicate a team-oriented environment, which could be a plus or minus depending on personal work style
Summarised from Waabi's posting. Read the full original.
Listed by Waabi on their lever job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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