Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Mountain View, CA
Actively hiring, first seen by us 9 days agoAdditional Information: Minimum salary of $237,000 to maximum salary of $257,500 + equity + benefits. The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors.
California Pay Range $237,000—$257,500 USDRead the full posting
Sr./Staff AI/ML Engineer, Plant Intelligence Location: Mountain View, CA - Remote Team: Software The Impact You’ll Make:Read the full posting
Combine physics and machine learning into models that predict plant performance
Capture and label operations, maintenance and field data for model training
Build pipelines to train, evaluate and deploy every model
Package models and work with Plant Infrastructure to run them on site
Combine physics and machine learning into models that predict how each plant performs.
Build the data foundation: capture and label operations, maintenance and field data for model training.
Build the pipelines every model is trained, evaluated and deployed through.
Package models for the plant, working with Plant Infrastructure on running them on site.
6+ years of software engineering, including 3+ years building machine learning for production.
Strong Python and SQL background with hands-on modern ML libraries experience.
Strong data engineering: reliable pipelines for large volumes of sensor and time-series data.
ML systems: training and evaluation pipelines, model registry and production monitoring.
Experience with modern data platforms: data lakes, streaming and workflow orchestration.
From the employer’s posting.
At 1 Arc Power, we are on a mission to deliver simple, fast-to-deploy, customer-centric and intelligent power systems leveraging the abundance of solar to provide inexpensive and reliable clean energy to global customers from data centers to energy starved communities around the world.
In the employer’s words · Read in context
Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 9
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.
- 6+ years of software engineering, including 3+ years building machine learning for production. - Strong Python and SQL background with hands-on modern ML libraries experience. - Strong data engineering: reliable pipelines for large volumes of sensor and time-series data.
- Experience with modern data platforms: data lakes, streaming and workflow orchestration. - Infrastructure as code: Terraform or similar. - Bias for action and end-to-end ownership: shipping early, measuring results, and owning models from first prototype through production and beyond.
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Already applied? Track this application
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.
Location: Mountain View, CA - Remote
Team: Software
The Impact You’ll Make:
1AP builds software-defined power systems: utility-scale solar and storage plants designed, built and run on one software stack, from the layout of the land to the electronics on every string.
Plant Intelligence is the layer that understands each plant: how it is designed, how it should perform and how it actually runs. It spans site design, performance modeling, digital twins, forecasting and asset health.
This is the first machine learning role on Plant Intelligence, shaping how AI becomes part of every plant.
Key Responsibilities:
Nice to Have:
Competitive Compensation Package
Health Insurance: We offer 100% coverage of employee and 75% of dependent premiums under a Gold-level PPO plan. Dental & Vision Insurance: 50% of employee premiums are covered.
Retirement Plan: A 401(k) plan with a 6% employer match.
Minimum salary of $237,000 to maximum salary of $257,500 + equity + benefits.
The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors.
At 1 Arc Power, we are on a mission to deliver simple, fast-to-deploy, customer-centric and intelligent power systems leveraging the abundance of solar to provide inexpensive and reliable clean energy to global customers from data centers to energy starved communities around the world. We envision a future where every community, business, and nation thrives on the limitless potential of clean energy, united in a shared commitment to a sustainable and equitable world.
You will be working with Dr. Tom Buttgenbach, one of the most successful clean energy technology innovators and entrepreneurs who has been a driving force in making solar-based energy solutions the cheapest and most reliable energy option. Tom founded and led Avantus (formerly known as “8minute Solar Energy“), to become one of the largest and most profitable solar and energy storage companies in the United States and the largest in California, including delivering over 17% of Los Angeles’ power.
When Tom sold his interest in Avantus’ development business to KKR in mid-2024, it had delivered over $1 billion in profit and secured over $10 Billion in power purchase agreements and project financings with a pipeline of over 30 GW of solar and 90 GWh of energy storage, capable of powering the homes of more than 20 million Americans day and night.
Tom’s family office investment firm, 1st Avenue Capital, is building teams for the next generation of advanced solar power system architecture and AI to aggressively drive down the cost of and equitable access to clean and reliable energy.[1] 1st Avenue’s advanced large scale power systems are addressing the increasing inadequacy of the grid to meet the massively growing power demands of the digital economy, while its intelligent distributed solar utilities are leapfrogging the grid to provide equitable access to inexpensive, clean and reliable power to underserved communities around the world.
1AI Energy, the employing entity for 1 Arc Power, and 1 Arc Power are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race (inclusive of traits associated with race, including hair texture and protective hairstyles), color, religion, religious creed, national origin, ancestry, sex (including pregnancy, childbirth, and breastfeeding), age, veteran or military status, marital status, physical or mental disability, medical condition, genetic information, gender, gender identity, gender expression, sexual orientation, reproductive decision-making, or any other legally recognized protected class under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act (ADA), the California Fair Employment and Housing Act (FEHA), and local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on 1AI Energy or 1st Avenue Power. Please inform the company's personnel representative if you need assistance completing an application or to otherwise participate in the application process.
Join our team and make a real difference in the world.
[1: Additionally, 1st Avenue is in the business of acquiring projects where there has been a final notice-to-proceed or financial close.]
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Additional Information: Minimum salary of $237,000 to maximum salary of $257,500 + equity + benefits. The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors.
California Pay Range $237,000—$257,500 USD
Mountain View, CA
Sr./Staff AI/ML Engineer, Plant Intelligence Location: Mountain View, CA - Remote Team: Software The Impact You’ll Make:
- Build the pipelines every model is trained, evaluated and deployed through. - Package models for the plant, working with Plant Infrastructure on running them on site. The Skills You Bring:
More relevant text appears in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.