Pay
Lower than most similar jobs
$100K–$175K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
New York, New York, United States
Live, first seen by us 21 days agoIn addition to the chance to do important work with a great team, Orenda offers a competitive compensation package designed to attract and retain top talent: Base Salary: The anticipated base salary range for this full-time position in New York City is $100,000-$175,000 per year. The final base salary will be determined on a case-by-case basis and may vary based on the successful candidate's relevant experience, skills, and qualifications. Bonus: In addition to the base salary, this role is eligible for a significant annual performance-based bonus.Read the full posting
Work Environment This is a full time, in-office position requiring work from our headquarters (Brooklyn, NY) five days a week. Why Join Orenda?Read the full posting
Build and deliver timeseries ML models for energy storage problems
Design evaluation frameworks for forecasts
Improve existing models by tuning parameters and enriching features
Run statistical analysis on market data and model performance
Work with software engineers to productionize models and design APIs
Devise, iterate on, and deliver timeseries ML algorithms/models to solve novel problems in the energy storage space
Design and implement thorough evaluation frameworks for our forecasts
For existing models: improve performance, fine-tune parameters, and enrich features
Perform statistical analysis on market data and model performance
Work closely with software engineers to productionize your models and design APIs
B.S. and 3+ years of relevant experience
Deep understanding of timeseries forecasting, machine learning algorithms, data processing, and model optimization techniques
2+ years experience writing clean, maintainable Python code with Machine Learning frameworks (e.g. PyTorch, Tensorflow)
Demonstrated experience crafting, performing, and analyzing experiments
Proficiency working in a cloud computing environment
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$100K–$175K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 21
Similar jobs usually come down between day 6 and day 70.
From 4,444 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Deep understanding of timeseries forecasting, machine learning algorithms, data processing, and model optimization techniques - 2+ years experience writing clean, maintainable Python code with Machine Learning frameworks (e.g. PyTorch, Tensorflow) - Proficiency with AI-driven development workflows and coding agents (Claude Code, ChatGPT Codex, etc.)
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Orenda is on a mission to make the grid more efficient with batteries and software. We build and operate energy storage projects in dense urban environments to bridge the gap between renewables and electricity consumption.
Orenda Asset Technology is developing the software and hardware platform to operate these projects. We use machine learning to forecast electricity markets and decision algorithms to allocate energy optimally. Our cloud platform connects to on-site energy controls systems to monitor and manage our fleets.
We are a dynamic, NYC-based company at the forefront of a new industry. We are seeking highly motivated and incredibly talented individuals who wish to contribute to our important mission.
Orenda is looking to hire a Machine Learning Engineer to join our Asset Technology team. This individual will advance our forecasting capabilities and expand our models across energy markets. If you are interested in taking ownership of your work at a fast-paced company in a rapidly growing industry, this position is for you.
This is a full time, in-office position requiring work from our headquarters (Brooklyn, NY) five days a week.
At Orenda, you’ll help build the real-world infrastructure that makes the energy transition possible.
You’ll do this in a mission-driven culture that values ownership, accountability, continuous learning, high performance, and genuine collaboration. We work hard, move quickly, and enjoy doing it together.
In addition to the chance to do important work with a great team, Orenda offers a competitive compensation package designed to attract and retain top talent:
Orenda Inc. is an equal opportunity employer committed to fair and inclusive hiring and employment practices in accordance with federal, New York State, and New York City law. We do not discriminate in any aspect of employment—including hiring, promotion, compensation, or termination—on the basis of any protected characteristic, including race, color, religion, sex, gender, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other status protected by law.
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Selected passages from the saved posting. Check the full description for conditions and exceptions.
In addition to the chance to do important work with a great team, Orenda offers a competitive compensation package designed to attract and retain top talent: Base Salary: The anticipated base salary range for this full-time position in New York City is $100,000-$175,000 per year. The final base salary will be determined on a case-by-case basis and may vary based on the successful candidate's relevant experience, skills, and qualifications. Bonus: In addition to the base salary, this role is eligible for a significant annual performance-based bonus.
New York, New York, United States
Orenda is on a mission to make the grid more efficient with batteries and software. We build and operate energy storage projects in dense urban environments to bridge the gap between renewables and electricity consumption. Orenda Asset Technology is developing the software and hardware platform to operate these projects. We use machine learning to forecast electricity markets and decision algorithms to allocate energy optimally. Our cloud platform connects to on-site energy controls systems to monitor and manage our fleets. We are a dynamic, NYC-based company at the forefront of a new industry. We are seeking highly motivated and incredibly talented individuals who wish to contribute to our important mission.
No clear work-authorization passage found. Eligibility is unconfirmed.