Senior Software Engineer, Machine Learning

Machina Labs; Chatsworth; On-site; CAD 217,000 - 267,000; Full time

Job summary

A cutting-edge robotics firm in Ontario seeks a Senior Machine Learning Engineer to develop and deploy machine learning models that optimize production processes. Ideal candidates have 4+ years of relevant experience, an MS or PhD, and strong Python skills. This role involves collaborating with engineers to revolutionize manufacturing through data. Salary range is $155,000 to $190,000 USD annually, plus benefits.

Benefits

Medical benefits

Dental benefits

Vision benefits

Paid Time Off

Stock Options

Qualifications

• 4+ years of hands-on experience in machine learning systems, algorithms, and applications.
• Extensive experience with Python programming.
• Experience solving complex problems independently and as part of a team.

Responsibilities

• Identify opportunities for machine learning automation and predictive modeling.
• Conduct data mining, develop model architectures, train and deploy models.
• Build a production-ready pipeline supporting multiple machine learning models.

Skills

Machine Learning

Python

Data Analysis

Statistical Analysis

Communication

Education

MS or PhD in Data Science, Computer Science, Machine Learning, Statistics

Tools

Hadoop

Spark

Hive

Databricks

Sagemaker/Azure ML

Jupyter

Job description

About Machina Labs

At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer‑by‑layer.

Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next‑generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on‑demand, and innovation is unconstrained.

About The Role

As a Senior Machine Learning Engineer at Machina Labs, you won’t just be training models—you’ll be shaping the future of manufacturing. Every day, our robotic systems generate massive streams of sensor data, and your challenge will be to turn that raw information into intelligence that transforms how things are made. From cloud‑scale experimentation to edge‑ready deployment, you’ll develop ML models that predict and optimize the critical parameters of our production process.

You’ll collaborate closely with roboticists, software engineers, and manufacturing experts to design algorithms that make our systems smarter, faster, and more reliable. Think of it as building the “brain” that powers the factory of the future.

This role is ideal for someone who thrives at the intersection of theory and application—where cutting‑edge research meets production‑grade impact. Your work won’t sit in a paper or a sandbox; it will directly influence how aircraft, spacecraft, and next‑generation products are built.

What You’ll Do:

• Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts.
• Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives.
• Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members).
• Assist team members in data analysis and interpretation.
• Design and conduct experiments to test and validate solutions and models.
• Build a production-ready pipeline supporting multiple machine learning models.
• Develop monitoring tools for data quality and system performance.
• Provide guidance to team members and actively participate in interview processes to hire additional team members.

What You'll Bring:

• MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
• 4+ years of hands‑on experience in machine learning systems, algorithms, and applications (e.g., deep learning, time series analysis, etc.).
• Experienced and very comfortable coming up with machine learning architectures and training models from scratch.
• Extensive Python programming experience.
• Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter).
• Experience in build/release systems and processes.
• Quick learner of new technologies and experienced in fast‑paced iterative design.
• Strong communicator with the ability to explain complex topics to technical and non‑technical audiences.
• Startup/Early Product Development experience is a plus!
• Proven track record of being able to solve complex problems independently and as part of an integrated team.

Bonus Points For:

• Experience in reinforcement learning.
• Experience incorporating very large scale multi‑dimensional point clouds into learning frameworks.
• Experience with unsupervised learning techniques.

Equal Employment Opportunity Statement

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444‑9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

155000 - 190000 USD a year

In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options