Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
About the role
- Senior Machine Learning Engineer productionizing computer vision models for Samsara’s IoT-powered Connected Operations Cloud. Building low-latency APIs, data pipelines, and monitoring for fleet-scale safety features.
Responsibilities
- Own the cloud-side path from model artifact to production system for Safety AI ML applications
- Establish standards for serving, evaluating, versioning, and monitoring production models
- Build reliable, low-latency ML APIs for cloud applications
- Construct scalable data pipelines for model iteration, backtesting, shadow evaluation, and online evaluation
- Productionize model artifacts and optimize serving logic for platform-specific workloads
- Process high-volume camera and sensor telematics data for model execution, backtesting, and dataset curation
- Monitor model drift, precision/recall, latency regressions, rollout health, and feedback loops
- Partner with firmware and platform teams to optimize edge-to-cloud model execution
- Work with product managers to translate safety requirements into scalable technical architectures
- Collaborate with applied scientists, firmware engineers, full-stack engineers, and product managers
- Champion and embed Samsara’s cultural principles as the company scales
Requirements
- 6+ years of experience as a Machine Learning Engineer or similar role, with a track record of shipping models in production
- Strong proficiency in one or more common languages, such as C++, Golang, Java, Python, or Scala
- Proficiency with ML tools such as Ray/Ray Serve, MLflow, Grafana, PyTorch, and Spark
- Experience deploying and iteratively refining models using real customer feedback loops
- Comfort with full-stack/backend development and understanding of data structures and model dependencies
- BS or MS in Computer Science or a related quantitative field
- Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code frameworks
- Experience deploying and managing ML applications in AWS, GCP, or Azure cloud environments
- Experience shipping end-to-end ML applications, ideally in safety-critical or high-scale domains
- Expertise optimizing distributed model training with GPUs
- Ph.D. in Computer Science or a quantitative discipline is an ideal-candidate qualification
Benefits
- Initial RSU grant with no vesting cliff
- Ongoing refresh opportunities tied to performance
- Performance-based bonus/variable pay
- Equity for eligible roles
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
- Flexible working model
- Remote work support
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.
Senior AI/ML Engineer building Generative AI, RAG, and agentic solutions for pharmaceutical Statistical Programming. Deploying secure, validated, production - ready AI applications with Python and AWS.
Senior Machine Learning Engineer building LLM - powered lab interpretation and clinical decision - support tools for Fullscript’s healthcare platform. Owning AI systems from prototyping through production.
Staff ML engineer building models, evaluations, and agentic systems for Sourcegraph’s code - understanding products. Improving enterprise code search quality, latency, cost, and reliability.
Machine Learning Engineer supporting Helm.ai’s neural - network research operations. Evaluating experiments, identifying failure modes, and reporting quantitative results for autonomous - driving technology.
Graduate co - op scientist at TD, a global financial institution, developing machine learning models and analytics solutions. Querying data, engineering features, and translating insights into banking decisions.