Pay
Lower than most similar jobs
$110K–$140K 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.
Machine Learning Engineer (Remote)
North Carolina, Durham, United States of America
Open 5 months, first seen by us 155 days ago- Pay
$110,000–140,000/year — pay source
0.25% company equity, with vesting options up to 2%. A strong, competitive salary upon reaching a seed round of funding. In the range of $110k-$140k/ year.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Machine Learning Engineer Full-time We are expanding rapidly and are seeking new, experienced and hands-on team members who think outside of the box (and are not afraid to share their thoughts), will deliver unique ideas and like to work in a fast-paced environment on cutting edge projects.
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild scalable, performant data pipelines, data services and data products
Handle data ingestion and transformation for ML apps and reporting
Write hands-on code as a core contributor on ML projects
Help grow the engineering team and establish engineering culture
From the employer’s posting
designing and implementing scalable, performant data pipelines, data services, and data products
focus on data ingestion, transformation and presentation for ML apps and reporting
This is a hands-on position, expect to write more code
the role will help to grow the engineering team, establish the engineering culture
What you’ll bring
All qualificationsCore experience
- Proficiency in Java, Python or Scala, plus working SQL
- Experience with statistical modeling and deep learning frameworks
- Experience handling multivariate data at petabyte scale, ideally time-series
- Ability to work independently and in a fast-paced team
Preferred experience
- Strong aptitude for learning new Data Management and Data Science technologies
Qualification wording
Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL
Previous experience with statistical modeling and deep learning frameworks / libraries we use is required
Previous experience of dealing with multivariate data at petabyte scale, especially in the time-series domain
Proven record to create and perform independently and within a fast-paced, team-oriented environment
Strong aptitude for learning new technologies related to Data Management and Data Science
About Sunergi
We aim to map the best plots for solar panels in the United States.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026155 days ago
- Recorded sightings
- 60
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
Sunergi is hiring
1 open job
- No new data jobs since June
See how this role fits your experience
Add 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.
- Java
- Python
- Scala
- SQL
- Docker
- Kubernetes
- Keras
- PyTorch
Where the posting names them
- This is a hands-on position, expect to write more code. - Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL. - Previous experience of dealing with multivariate data at petabyte scale, especially in the time-series domain.
- Evaluate, benchmark and improve the scalability, robustness, efficiency and performance of big data platform and applications. - Experience with Kubernetes, Docker is a plus Description
Additional Requirements - 3+ years of proven experience with Kubernetes, Docker is a plus Compensation
- A strong understanding of distributed data systems and experience in using open source frameworks to build applications is required. - A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms. - Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort.
Your next step
Complete your application on sunergi.freshteam.com. The employer’s form will show what is required.
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Already applied? Track this application
Demand for ML Engineer roles
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.
About the role
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.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
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.
Job description
Sunergi Inc.
Machine Learning Engineer
Full-time
We are expanding rapidly and are seeking new, experienced and hands-on team members who think outside of the box (and are not afraid to share their thoughts), will deliver unique ideas and like to work in a fast-paced environment on cutting edge projects.
Our mission
We aim to map the best plots for solar panels in the United States.
The Machine Learning Engineer role is all about building, recruiting, management, internal communication and delivery — getting the product out the door, while ensuring the team is hitting their mark. Furthermore, the role will help to grow the engineering team, establish the engineering culture and remove impediments to help team members be able to provide their best.
Key Qualifications
- You are a core contributor on ML projects with a focus on data ingestion, transformation and presentation for ML apps and reporting.
- Passionate and dedicated track record of designing and implementing scalable, performant data pipelines, data services, and data products.
- This is a hands-on position, expect to write more code.
- Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL.
- Previous experience of dealing with multivariate data at petabyte scale, especially in the time-series domain.
- Be able to communicate collaboratively with Data Scientists and ML Software developers to understand requirements we have and deliver best in class data platform.
- Previous experience with statistical modeling and deep learning frameworks / libraries we use is required.
- Strong aptitude for learning new technologies related to Data Management and Data Science.
- Proven record to create and perform independently and within a fast-paced, team-oriented environment.
- Work with structured and unstructured data. Perform data cleansing, scraping unstructured data and converting into structured data.
- Evaluate, benchmark and improve the scalability, robustness, efficiency and performance of big data platform and applications.
- Experience with Kubernetes, Docker is a plus
Description
In this role, handle implementing data pipelines focused on Machine Learning applications.
- You will develop data sets for POCs to demonstrate new insights.
- Several of these may lead to fully operational ML models and deploy and own the life-cycle on in-house and third party cloud environments.
- You will partner with various cross functional teams to define, develop and implement data technology solutions, with an emphasis on providing superior foundational data for ML applications.
- A strong understanding of distributed data systems and experience in using open source frameworks to build applications is required.
- A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms.
- Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort.
- As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for those.
- In the process, you will identify the requirements of new features, and propose design and drive the solution.
- A strong understanding of data governance and data privacy is expected for this role in keeping with Apple’s strong commitment to the same.
Education & Experience
B.S or M.S in Computer Science, Mathematics, Statistics, Operational Research, Data Science / equivalent experience.
Additional Requirements
- 3+ years of proven experience with Kubernetes, Docker is a plus
Compensation
- 0.25% company equity, with vesting options up to 2%.
- A strong, competitive salary upon reaching a seed round of funding. In the range of $110k-$140k/ year.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
0.25% company equity, with vesting options up to 2%. A strong, competitive salary upon reaching a seed round of funding. In the range of $110k-$140k/ year.
- Location & working pattern
North Carolina, Durham, United States of America
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.