Machine Learning Engineer, Co-op

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About Ancestry : When you join Ancestry , you join a human-centered company where every person’s story is important. Ancestry ®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. Ancestry seeks an exceptional, passionate, and highly motivated Machine Learning Engineer Co-Op to join our MLE team this summer. The MLE team is responsible for developing, deploying, fine-tuning and optimizing machine learning models and LLMs to enhance customer experiences, improve internal workflows, and drive business impact. We collaborate closely with data scientists, engineers, and product teams to build scalable and efficient ML solutions that power critical features across our platform. As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using agentic frameworks. You will contribute to optimizing model inference, automating ML workflows, and building intelligent AI-driven solutions to improve decision-making and user engagement. This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: 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. Who You Are: 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 and 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 Curiosity and go-getter attitude Experience with cloud platforms, ML development tools, and ML deployment tools. Nice to have: Familiarity 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. Addi

关于Ancestry：加入Ancestry，您就加入了一家以人为本的公司，在这里每个人的故事都很重要。Ancestry ®是家族历史领域的全球领导者，将每个人与他们的过去连接起来，使他们能够发现、保存和分享独特的家族故事。凭借我们无与伦比的超过650亿条记录收藏、超过350万订阅用户以及不断增长的DNA网络中超过2700万人，客户可以发现他们的家族故事，并对自己的生活获得新的理解。在过去的40年里，我们与数百万人建立了可信赖的关系，他们选择我们作为发现、保存和分享关于自己和家族最重要信息的平台。我们致力于灵活办公地点的方法，允许您选择在最近的办公室工作、在家工作，或两者混合（受地点限制和需要在办公室工作的职位约束——请在此处查看符合条件的美国地点完整列表）。我们将继续在办公室地点边界之外进行招聘和晋升，以扩大员工多样性的可能性。我们每天共同努力，营造一个包容且多元化的工作环境，让我们的员工可以做自己。每一个想法和观点都受到重视，以便我们的产品和服务反映我们所服务的全球多元化客户。Ancestry鼓励少数族裔、女性、残障人士、受保护退伍军人及所有其他合格申请人申请。热衷于将自己的工作奉献于丰富人们的生活？加入好奇的我们吧。Ancestry正在寻找一位杰出、充满热情且高度积极的机器学习工程师Co-Op，于今年夏天加入我们的MLE团队。MLE团队负责开发、部署、微调和优化机器学习模型及LLM，以提升客户体验、改善内部工作流程并推动业务影响。我们与数据科学家、工程师和产品团队紧密合作，构建可扩展且高效的ML解决方案，为我们平台上的关键功能提供支持。作为MLE团队的机器学习工程师Co-Op，您将致力于集成ML模型和生成式AI（GenAI）模型，支持ML/LLM驱动的应用，并使用代理框架开发AI代理。您将为优化模型推理、自动化ML工作流程以及构建智能AI驱动的解决方案做出贡献，以改善决策和用户参与度。这是一个面向硕士和博士项目在读学生的兼职、勤工俭学机会。您将做什么：开发和部署机器学习及大型语言模型。构建和优化AI代理以增强自动化和决策能力。优化模型推理速度、存储效率和可扩展性，以适应现实世界应用。开发管道和MLOps工作流程，以简化模型训练、评估和部署。为ML、LLM、代理评估和监控平台做出贡献。尝试新的ML、LLM和Agent技术。您是谁：目前在计算机科学、数据科学、统计学、数学、语言学、工程或相关定量领域攻读高级学位（硕士或博士优先），具有强大的数据重点。精通Python，熟悉TensorFlow、PyTorch或Scikit-learn等ML库。具有GenAI、LLM和代理框架（LangChain、AutoGen）经验。强大的问题解决能力，能够编写干净、高效且可扩展的代码。强大的书面和口头沟通能力。好奇心和积极主动的态度。具有云平台、ML开发工具和ML部署工具经验。加分项：熟悉NodeJS或Java。加分项：熟悉LLM微调、检索增强生成（RAG）、向量数据库（FAISS、Pinecone、OpenSearch）、LLM优化、VLLM库、HuggingFace库或强化学习技术。附加

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