Source Job

Canada

  • Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
  • Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
  • Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.

Python Machine Learning Data Pipelines

14 jobs similar to Machine Learning Engineer

Jobs ranked by similarity.

US Canada

  • Develop and train machine learning models for learned behavior systems.
  • Implement production-quality ML code to support model training, evaluation, and inference.
  • Analyze model performance, identify failure modes, and propose improvements to increase robustness.

Torc Robotics develops behavior models that power decision-making for autonomous trucks. While the job posting does not provide specific information regarding company size, it can be inferred that they foster a highly collaborative environment.

US Canada

  • Develop and train machine learning models for scene understanding.
  • Implement production-quality ML code to support model training.
  • Analyze model performance, identify failure modes, and propose improvements.

Torc Robotics is dedicated to developing autonomous driving technology. They aim to revolutionize the trucking industry with safe and efficient self-driving solutions.

$170,000–$245,000/yr
US

  • Design, prototype and productionize scalable machine learning and optimization models.
  • Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
  • Build end-to-end reusable pipelines from data acquisition to model output delivery.

BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.

$153,200–$183,300/yr
US Canada

  • Develop and train deep learning models for camera-based perception.
  • Implement production-quality machine learning code to support model training, evaluation, and inference.
  • Analyze model performance across diverse driving scenarios to improve robustness and generalization.

Torc Robotics focuses on developing self-driving vehicle technology. They aim to make roads safer and improve lives by commercializing autonomous trucks, offering advanced driver assistance systems and self-driving solutions, with a focus on safety and reliability.

US Canada

  • Develop and train computer vision and deep learning models for road‑lane detection using monocular and multimodal sensor data.
  • Build 3D road surface and lane geometry models in BEV space and integrate them into Torc’s autonomy pipeline.
  • Analyze model performance, identify corner cases, and improve robustness under diverse environmental and long‑tail conditions.

Torc Robotics focuses on developing autonomous driving technology, particularly for trucking applications. They aim to create safe and reliable autonomous systems. The company fosters collaboration between expert teams to push the boundaries of autonomous vehicle capabilities.

$1,200,000–$1,500,000/yr
US

  • Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Develop and maintain backend services using Python, focusing on AI-driven applications.
  • Design and implement APIs for seamless integration with AI models and services.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.

US

  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.

Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.

Canada 5w PTO

  • Build, ship, and own product features end-to-end
  • Work with designers and product managers to create high-performing product features.
  • Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.

Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.

US

  • Set up and manage GPU cluster infrastructure on major cloud providers.
  • Build and operate job orchestration and scheduling systems.
  • Integrate and maintain ML training frameworks and post-training pipelines.

Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale. They started as a research project in the Stanford AI Lab and work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.

US

  • Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
  • Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
  • Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.

Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.

US 4w PTO

  • Design, train, and deploy machine learning models that enhance ButterflyMX products and user experiences.
  • Build and maintain full stack applications and services that integrate ML capabilities into production systems.
  • Develop and optimize data pipelines for model training, evaluation, and inference.

ButterflyMX empowers people to open and manage doors & gates from a smartphone. They are installed in multifamily, commercial, gated communities, and student-housing properties worldwide. Fantastic people are the key to our success.

$185,800–$303,400/yr
US

  • Design, build, and deploy production-grade machine learning models and systems at scale
  • Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
  • Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems

Reddit is a community of communities built on shared interests and trust, and is home to open conversations on the internet. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

$150,000–$180,000/yr
US

  • Design and implementation of reliable, maintainable, and scalable GenAI systems.
  • Serve as a subject matter expert for machine learning systems owned by the team.
  • Mentor junior and mid level engineers through code reviews and design collaboration.

Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.

$170,000–$200,000/yr
US Unlimited PTO

  • Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
  • Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
  • Orchestrating and automating complex data and analytic pipelines

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.