Machine Learning Engineer – Co-op

🕒 August 11

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 41%

What it means: the chance that no one is really hiring for this job.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

Ancestry

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1983

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.

📋 Description

• Design, build, test, and deploy production-quality ML software in Python • Build scalable services, pipelines, and APIs that integrate ML models and LLMs • Develop and optimize AI agents and agentic applications • Optimize model inference for performance, reliability, scalability, and cost • Build MLOps workflows for model training, evaluation, deployment, and monitoring • Debug complex technical issues and independently own engineering deliverables • Evaluate and implement emerging ML, LLM, and agent technologies

🎯 Requirements

• Currently pursuing a Master's or PhD in Computer Science, Software Engineering, Computer Engineering, Machine Learning, AI, or a related technical field • Highly proficient in Python with demonstrated ability to independently build, test, and debug software • Strong software engineering fundamentals, including data structures, algorithms, APIs, testing, version control, and code quality • Experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn • Experience building with GenAI, LLMs, and agentic frameworks such as LangChain, LangGraph, or AutoGen • Experience with cloud platforms, ML development tools, and production deployment workflows • Strong problem-solving and technical communication skills • Nice to have: Experience with Node.js or Java; experience with LLM fine-tuning, RAG, vector databases, Hugging Face, vLLM, inference optimization, or reinforcement learning • Active student in a Master's or PhD program • Background check required for employment

🏖️ Benefits

• Location-flexible work approach: nearest office, from home, or hybrid of both, subject to location restrictions and role requirements • Equal Opportunity Employer • Reasonable accommodations for qualified individuals with disabilities

📊 Check your resume score for this job

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

Upload Resume