Senior Machine Learning Developer at Tantalus

Burnaby, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Data Processing, Software Development, Statistical Models, Predictive Analytics, Cloud-Native Solutions, Time-Series Analysis, Python, Java, SQL, Linux, Shell Scripting, Mentoring, Project Leadership, Data Science

Industry

Utilities

Description

About Tantalus Systems (TSX: GRID) Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed throughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics. Learn more at http://www.tantalus.com/. Come join us if you’re interested in being part of an entrepreneurial team, solving complex technical problems and delivering innovative solutions that will directly impact the electrification of everything and the decarbonization of our society. We have operations throughout the United States and Canada with offices in Burnaby (British Columbia, Canada), Raleigh (North Carolina, USA), and Norwalk (Connecticut, USA). This position offers a competitive salary plus variable compensation based on performance targets and business objectives. Tantalus also offers generous benefits, including medical, dental and vision plans, healthcare and dependent care flexible spending accounts and paid time off. The Opportunity: As a Senior Machine Learning Developer at Tantalus, you will join a dynamic, cross-functional team of innovative engineers and technologists. Our team leverages Tantalus’s comprehensive technology stack, which spans custom silicon, Industrial IoT (IIoT) devices, narrowband and broadband networks, cloud-native platforms, data aggregation, predictive analytics, machine learning, and cutting-edge visualization tools. In this role, you will be at the forefront of product development, collaborating with teams from our Canadian and U.S. offices and working closely with global partners. You will help shape the future of electric, water, and gas distribution systems by developing advanced analytics tools that extract insights from vast amounts of time-series data collected from our Smart Metering systems. Your expertise will be crucial in addressing complex problems within utility power distribution, including the integration of distributed energy resources like solar, wind, and electric vehicle charging stations. As a key technical leader, you will guide the development, verification, and delivery of machine learning-based solutions, drawing from a wide range of statistical, supervised, unsupervised, and hybrid models to meet the unique challenges of our industry. Location of Position: This position will be a hybrid position based in our Burnaby, BC office with opportunities to collaborate with colleagues across our Canadian and U.S. locations. Specifically, the Senior Machine Learning Developer will: Lead the development and delivery of new features and advanced capabilities for our grid management platform. Design, build, and deploy scalable, production-ready machine learning and AI-driven solutions. Evaluate algorithm performance, scalability, and suitability for real-world applications. Conduct model development, optimization, verification, and deployment processes. Design, develop, test, and maintain large-scale software systems, ensuring high standards of quality, performance, and security. Analyze and decompose complex business requirements to develop clear, executable solutions. Stay at the forefront of industry developments, maintaining a strong knowledge base of the latest in machine learning best practices and evolving frameworks. Collaborate cross-functionally with engineering, product management, operations and data science team to identify new ML-driven solutions for customers. What You Bring: Education and Experience: Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience. Master’s degree or PhD (preferred) in Engineering, Computer Science, or a related technical field. 7+ years of experience delivering large-scale systems to production environments. A keen interest in time-series ML problems, Edge-ML and distributed systems. Demonstrated experience in the following: Building machine learning solutions leveraging architectures such as deep learning (e.g., LSTM, CNNs), reinforcement learning, and transformers. Architecting and developing software or infrastructure for scalable, distributed systems. 3+ years of experience leading technical projects in ML design and optimizing large-scale ML infrastructure (e.g., model deployment, evaluation, data preprocessing, fine-tuning). Designing cloud-native solutions and infrastructure for real-time or batch data processing. Software design and architecture, including testing and launching products into production. Experience with deep learning frameworks such as PyTorch, TensorFlow, Jax, Ray, etc., hugging face, transformer architectures, agentic systems, LLMs and accelerators (e.g., TPUs, GPUs). Familiarity with model architectures like encoders, decoders, and transformers, and experience with APIs and frameworks for machine learning. Strong experience across a broad range of programming languages including but not limited to Python, Java for building high-performance, production quality systems. Strong experience in an operational Linux environment and strong shell scripting skills. Expertise in SQL for data extraction. Streamline and reduce the cycle time for moving a data science project prototype from research to a fully monitored and stable production service. Proven experience mentoring junior developers and driving team wide adoption of best ML practices. Desired Qualifications: 5+ years of experience in a technical leadership role, setting the direction for project teams. Recent hands-on experience in developing and delivering ML-based solutions in production. Experience in power transmission and distribution systems, especially with time series data analysis and integration of renewable energy sources. Strong knowledge of performance metrics, real-time data processing, and risk analysis. Personal Attributes: Strong analytical and problem-solving skills, with a deep curiosity for data and innovation. Passion for creating practical, high-impact machine learning solutions. Self-motivated, independent, and able to manage multiple projects effectively. Attention to detail and a commitment to delivering high-quality work. Quick to learn new technologies, with an appetite for continuous learning and self-improvement. If you possess some of the key skills and experiences outlined in the job posting and are genuinely interested in the position, we invite you to take a chance and submit your application. We value diverse perspectives, unique skills, and believe in the power of potential over specific qualifications. Tantalus is committed to employment equity and building a diverse workforce. We welcome and encourage Indigenous applicants, people of colour, all genders, 2SLGBTQ+ and persons with disabilities to apply. Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email us at careers@tantalus.com.

Responsibilities

Lead the development and delivery of new features and advanced capabilities for the grid management platform. Collaborate with cross-functional teams to design, build, and deploy scalable machine learning solutions.