Machine Learning Engineer, Co-op

Part-time Machine Learning Engineer Co-op on Ancestry's MLE team. The role focuses on developing, deploying, fine-tuning, and optimizing ML and LLM models, integrating GenAI powered applications, and building AI agents to enhance customer experiences and streamline internal workflows.

Responsibilities

• Create and deploy machine learning models and large language models.
• Design and optimize AI agents to improve automation and decision making.
• Improve inference speed, storage efficiency, and scalability for real world use cases.
• Build end-to-end pipelines and MLOps workflows to streamline training, evaluation, and deployment.
• Contribute to the ML, LLMs, and agent evaluation and monitoring platform.
• Experiment with emerging ML, LLM, and agent technologies.

Requirements

• Pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering, or a related quantitative field with a strong data focus.
• Strong Python proficiency and familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with GenAI, LLMs, and agent frameworks such as LangChain and AutoGen.
• Solid problem-solving skills with the ability to write clean, efficient, and scalable code.
• Excellent written and verbal communication skills.
• Curiosity and a proactive, self-driven attitude.
• Experience with cloud platforms, ML development tools, and ML deployment tooling.
• Nice to have: familiarity with NodeJS or Java.
• Nice to have: familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM library, HuggingFace library, or reinforcement learning techniques.

Technologies

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• LangChain
• AutoGen
• FAISS
• Pinecone
• OpenSearch
• VLLM
• HuggingFace
• NodeJS
• Java

About Ancestry

Ancestry is a human centered company where every person’s story matters. As a global leader in family history, the company helps people discover, preserve, and share their unique family stories. Ancestry maintains more than 65 billion records, serves over 3.5 million subscribers, and connects more than 27 million people through its DNA network.

The company supports a location flexible work approach, allowing employees to work from a nearby office, from home, or in a hybrid setup, depending on location and role requirements. Ancestry is committed to diversity and inclusion, and seeks to hire and promote beyond office boundaries to broaden opportunities for all employees. The environment values diverse perspectives and inclusive collaboration across global teams.

We welcome applicants who are dedicated to enriching people’s lives and who bring a curiosity-driven mindset to their work.

Additional Information

• Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, disability, medical condition, military status, citizenship, marital status, genetic information, or any other characteristic protected by law. Reasonable accommodations are provided for qualified individuals.
• Ancestry does not accept unsolicited assistance from search firms for this employment opportunity. Resumes submitted by search firms to Ancestry without a valid written agreement will be considered the property of Ancestry, and no fee will be paid.