Machine Learning Engineer, Co-op

🕒 August 11

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

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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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

• Develop and deploy machine learning and large language models • Build and optimize AI agents to enhance automation and decision-making • Optimize model inference speed, storage efficiency, and scalability for real-world applications • Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment • Contribute to ML, LLMs, agent evaluation and monitoring platform • Experiment with new ML, LLM, and Agent technologies • Integrate ML models and Generative AI models • Enable ML/LLM-powered applications • Develop AI agents using agentic frameworks • Collaborate with data scientists, engineers, and product teams to build scalable and efficient ML solutions

🎯 Requirements

• Currently pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering or related quantitative field with a strong data focus • Proficient in Python • Familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn • Experience with GenAI, LLMs, and agentic frameworks (LangChain, AutoGen) • Strong problem-solving skills, with the ability to write clean, efficient, and scalable code • Strong written and verbal communication skills • Experience with cloud platforms, ML development tools, and ML deployment tools • Active student in a master's or PhD program • All job offers are contingent on a background check screen that complies with applicable law

🏖️ Benefits

• Location-flexible work approach: choose to work from the nearest office, from home, or a hybrid of both (subject to location restrictions) • Part-time, work-study-based opportunity • Reasonable accommodations for qualified individuals with disabilities • Equal employment opportunity