Senior Machine Learning Engineer

Job not on LinkedIn

🕒 August 4

🇺🇸 United States – Remote

💵 $145k - $250k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 42%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

OpenTeams

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $100k Pre Seed Round on 2019-08

Consulting • Marketing • SaaS

OpenTeams is a company that provides a comprehensive platform and marketplace for enterprises to access, implement, and support open source solutions. By bridging the gap between open source communities and businesses, OpenTeams offers commercial support, training, and services necessary to optimize the use of open source technologies. They help organizations overcome challenges related to open source adoption, including security, compatibility, and customization, and provide support in recruiting open source talent. OpenTeams also offers business process outsourcing services for software consultancies, covering areas like HR, marketing, and accounting. With a strong emphasis on community engagement and collaboration, OpenTeams facilitates business innovation through trusted open source partnerships.

📋 Description

• Develop and refine features for deep learning models using large-scale customer and behavioral datasets • Implement model architecture changes informed by recent academic research • Collaborate with client teams to understand business context and translate requirements into technical solutions • Optimize model training pipelines for efficiency and scalability • Document approaches, findings, and technical decisions for knowledge sharing • Participate in code reviews and contribute to engineering best practices • Support a strategic client engagement focused on deep learning model development for customer behavior prediction

🎯 Requirements

• Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow) • Hands-on experience with feature engineering for predictive models • Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization) • Ability to read, understand, and implement techniques from ML research papers • Python proficiency in a data science/ML context • Comfortable working in ambiguous environments and adapting to unfamiliar tooling • Remote U.S. strongly preferred; W. Hemisphere timezone required • Authorized to work where they live

🏖️ Benefits

• 100% employer paid medical premiums for employees • Self-managed PTO with a minimum time off requirement • Career framework providing a pathway and recognition of increased impact • Opportunities to collaborate with global experts • Opportunities to contribute to open source projects • Support to learn fast • Recognition for successful collaboration