Senior Machine Learning Operations Engineer, Omnidian
$127-172k
+ Performance Bonus: Up to 15% + Equity
More information about location
Solar energy performance platform
Job no longer available
Solar energy performance platform
201-500 employees
Job no longer available
$127-172k
+ Performance Bonus: Up to 15% + Equity
More information about location
201-500 employees
Company mission
To protect and accelerate investments in clean energy.
Role
Who you are
- You are a systems thinker; you are keen to understand how the work you do integrates with Omnidian’s wider people, processes, and technologies
- You possess a strong curiosity and a growth mindset, new domains don’t intimidate you, they intrigue you
- You are adaptable and agile: You are ready to work outside of your wheelhouse to get the job done and solve the customer’s problem
- You show empathy and respect for coworkers, partners, and customers
- Proven ability to translate domain business problems into machine learning solutions that deliver actionable insights and drive strategic decisions
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field or equivalent experience
- Strong software engineering pedigree with the ability to write production-ready code
- Proficiency in Python, Java, C++, or other relevant programming languages
- Experience in deploying machine learning models in production environments using tools like Docker, Kubernetes, and cloud platforms (e.g. AWS, DataBricks)
- Expertise in CI/CD pipelines, monitoring tools, and best practices for maintaining model deployment systems
- Solid understanding of the full ML lifecycle, particularly the challenges of deploying and maintaining models in production environments
- This role is ideal for a Machine Learning Ops professional passionate about sustainability and eager to make a significant impact in a well-funded, growth-stage company
What the job involves
- Your role will be two-fold. At a strategic level, you will lead the development and optimization of our model deployment infrastructure, ensuring that model-driven services are seamlessly integrated into our production systems
- You will collaborate closely with our Product, Software, and Data Science teams to ensure that machine learning models are deployed efficiently and reliably, contributing to the automation and optimization of Omnidian’s workflows to deliver maximum value to our customers
- This will include contributing to our production code base to streamline the deployment and monitoring of model services
- At an operational level, you will ensure that the deployment, monitoring, and maintenance of model-driven services follow efficient, standardized, and fully governed processes
- You will work with Data Engineers and Data Scientists to develop and refine ML Ops technologies and practices, focusing on building a robust infrastructure that supports continuous integration, delivery, and monitoring of models at scale
- System Design and Architecture:
- Drive measurable gains in efficiency and automation across our workflows by working in cross-functional teams to integrate model services into Omnidian’s core technology
- Ensure model services are cost-effective, reliable, and scalable by working with the Engineering and Data Science teams to design and implement efficient model service architectures
- Model development, deployment, and maintenance:
- Enhance and maintain CI/CD pipelines specifically for model deployment, ensuring a streamlined, consistent, and automated deployment process
- Develop and enforce model validation, monitoring, and rollback strategies, including champion vs challenger frameworks, to ensure model integrity and operational impact
- Data Management and Preparation:
- Improve and maintain data pipelines that support the efficient deployment and retraining of models, leveraging distributed storage and compute resources
- Manage and scale our feature repository and feature serving capabilities, focusing on the deployment of low-latency, production-grade features that enhance model performance
Our take
As one of many options in the move to decarbonize our energy grid, solar power has shot up in popularity in recent years. However, one issue that may discourage investment in solar systems is the lack of post-purchase performance management and analytics options.
This is where Omnidian steps in, with solutions for solar owners and operators - as well as investors with solar portfolios - to monitor and service their systems for maximum performance and ROI. A key component of the company's offering is in predictive, rather than reactive, maintenance, which is proven to reduce costs. It also supplies a performance guarantee where Omnidian will cover the shortfall if a system generates less than 95% of its forecasted annual energy.
With its rather unique approach to the solar market, Omnidian has gained a lot of attention and investment thus far and has been steadily expanding its operations since founding in 2015. Funding in 2025 will support scaling core operations to meet growing demand, expanding further into markets such as Australia, and broadening its offering into adjacent areas including EV charging infrastructure and commercial energy storage.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Apr 2025
$87m
SERIES C
Oct 2023
$25m
LATE VC
Total funding: $169.2m
Company benefits
- Generous time off
- Flexible hours
- 401k
- Paid parental leave
- Stock options
- Education reimbursement
Company HQ
Central Business District, Seattle, WA
Leadership
Mark Liffmann
(Co-Founder & CEO)Member of the Board of Advisors for TUUSSO Energy. Was Director of the E2 Pacific Northwest Chapter of Environmental Entrepreneurs, and VP of Sales, Marketing and Business Development at Clean Power Research.
David Kenny
(Co-Founder & COO)Former Senior Director of Fleet Operations for Sunrun. Was Director of Project Development at Metrus Energy and Associate in Project Development at Fotowatio Renewable Ventures.
Ray Szylko
(Co-Founder 7 CSO)Previously Managing Director and Advisory in Financial Services at KPMG for 6.5 years. Before that, worked as Managing Director for RS Consulting and Senior VP at Bank of the West.
Brad Davis
(Co-Founder & CMO)Former Chief Marketing Officer and EVP at Opus Bank. Was CMO for SunPower Corporation, and previously Chairman of the Board of the Retail Advertising and Marketing Association at the National Retail Federation.
Share this job
View 3 more jobs at Omnidian