Data & ML Engineer

Jetson Home

$90K — $120K *
Energy & Utilities
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering and machine learning roles
  • Proficient in data pipeline design and management
  • Experience with building and deploying ML models in production
  • Familiarity with time-series analysis, optimization, or control systems
  • Ability to work effectively in a fast-paced, ambiguous environment

Responsibilities

  • Design and maintain end-to-end data and ML systems
  • Develop and optimize data pipelines for various functionalities
  • Ensure the reliability of data to support ML applications
  • Create APIs for ML solutions and system integrations
  • Write and maintain clean, tested, and efficient code

Benefits

  • Fully covered dental, vision, and life insurance premiums
  • Extended health care coverage
  • Comprehensive disability insurance
  • Educational support for personal and professional growth
  • Parental leave top-up program
  • Equity ownership options
Full Job Description
The Opportunity:
  • Build ML systems that interact with the physical world. You'll gain experience applying data and machine learning to real-world control problems-where feedback loops, delayed effects, and physical constraints matter as much as algorithms.
  • See the full picture, and influence it. At Jetson, you'll see how data flows from devices in homes, through cloud systems, into models, and back into product behavior. That context will make you a stronger engineer and a better decision-maker.
  • Shape our data and ML foundations. We're early, and that's an advantage. You'll help define our data architecture, modeling standards, evaluation practices, and how we responsibly use AI to move faster and build better products.
What You'll Do:
  • Ownership of data and ML systems end-to-end. You'll design, build, and maintain pipelines and models that power core product functionality-energy optimization, scheduling intelligence, anomaly detection, forecasting, and more. This includes data ingestion, feature engineering, training, deployment, monitoring, and iteration.
  • Strong foundations in data engineering. You're comfortable working with production data systems: streaming and batch pipelines, data modeling, warehouses/lakes, and observability. You know from experience that reliable ML starts with reliable data.
  • Applied ML experience. You've built and shipped models into production, and you understand the tradeoffs involved - model complexity vs. robustness, retraining cadence, drift detection, and graceful failure modes. Experience with time-series data, optimization, or control systems is a plus.
  • Systems and API design judgment. You'll design interfaces between ML systems, backend services, and edge devices. You think carefully about contracts, versioning, and what happens when predictions are wrong or unavailable.
  • Engineering rigor. You write maintainable, well-tested code. You value code review, automated testing, and CI/CD-not as overhead, but as enablers of speed and reliability in production ML systems.

What You Bring:
  • Comfortable operating without a playbook. You thrive in environments where the data is messy, the problem isn't fully defined, and the right answer isn't obvious. You're able to frame problems, make reasonable assumptions, and iterate quickly as reality pushes back.
  • Someone who thinks in terms of systems, not just models. You care about how data is generated, how it flows through systems, how models are deployed, and how outputs actually influence product behavior. Accuracy matters - but so does latency, reliability, and explainability.
  • An empathetic collaborator. You can work effectively with product, firmware, backend, and design partners - translating between business goals, physical constraints, and technical implementation. You communicate clearly and value shared ownership over individual heroics.

Job Type:Full-time, Permanent
Benefits:

Dental Care, Vision Care & Life Insurance premiums fully paid by Jetson

Extended Health Care

Disability Insurance

Education Support

Parental Leave Top Up

Equity

Work Location: In person - Kitchener, ON

Do you feel like you don't have everything that's listed above but can still do the job? If you have the core skills and experience that we're looking for and are willing to use your talent to learn the rest, we encourage you to apply!

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