Machine Learning Engineer

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

💵 $110k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sunergi

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

⚡ Energy

☁️ SaaS

Energy • SaaS

Sunergi is a solar data platform specializing in investment-grade market expansion reporting for installer organizations, investment groups, and analysts. The company provides thorough reports to assist organizations in making informed decisions about solar expansion. With a focus on solar energy and clean technology, Sunergi emphasizes analytics and efficiency in its services, contributing to the growth of the renewable energy sector.

📋 Description

• Handle implementing data pipelines focused on Machine Learning applications. • Develop data sets for POCs to demonstrate new insights. • Partner with various cross functional teams to define, develop and implement data technology solutions. • Identify requirements of new features, propose design and drive the solution.

🎯 Requirements

• 3+ years of proven experience with Kubernetes, Docker is a plus. • Core contributor on ML projects with a focus on data ingestion, transformation and presentation for ML apps and reporting. • 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. • Previous experience with statistical modeling and deep learning frameworks / libraries. • Strong aptitude for learning new technologies related to Data Management and Data Science. • Understanding of data governance and data privacy is expected.

🏖️ Benefits

• 0.25% company equity, with vesting options up to 2%. • A strong, competitive salary upon reaching a seed round of funding.