About the Role
As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems.
You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.
You’re excited about this opportunity because you will
- Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions
- Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance
- Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities
- Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)
- You can find out more on our ML blog post
We’re excited about you because
- High-energy and confident you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
- You’re an owner driven, focused, and quick to take ownership of your work
- Humble you’re willing to jump in and you’re open to feedback
- Adaptable, resilient, and able to thrive in ambiguity things change quickly in our fast-paced startup and you’ll need to be able to keep up!
- Growth-minded you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
- Desire for impact ready to take on a lot of responsibility and work collaboratively with your team
Experience
- M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production
- Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc
- Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following : Machine Learning, Causal Inference, Operations Research, Forecasting
- Experience of shipping production-grade ML models and optimization systems
Machine Learning Engineer, Trust & Safety
As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system. Analyze u...
Machine Learning Engineer, Typographic Intelligence
We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users. Ability to convert a research idea/paper to code in Python and typic...
Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance
We are looking for a Software Engineer with Machine Learning knowledge. We innovate technology solutions, develop cutting-edge machine learning models that incorporate deep product and shopper understanding, and conduct A/B tests to ensure that we identify all useful and relevant advertisements and ...
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (PhD)
Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. Develop and implement innovative machine learning algorithms to manage business risks in Ti...
Senior Software Development Engineer - Machine Learning, Alexa Smart Home Machine Learning Infrastructure
Machine Learning engineer on the Smart Home Machine Learning team, you will combine engineering best practices with your knowledge and experience with Machine Learning to lead the building of cutting-edge infrastructure components and platforms that are highly scalable, extensible and robust to enab...
Research Engineer Intern - Doubao (Seed) - Machine Learning System - 2025 Summer (MS)
Team IntroductionThe AML Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. Familiar with machine learning algorithms and platforms- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing w...
Machine Learning Engineer - Conversation AI
As a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak...
Tech Lead, Machine Learning Engineer, TikTok Recommendation
Minimum Qualification - Bachelor degree in computer science or a related major, with 5+ years of related work experience;- Strong software development experience with C++, Python or other programming language;- Experience in one or more of the following areas: applied machine learning, machine learn...
Machine Learning Engineer - New Verticals
We’re looking for a passionate Machine Learning Engineer to join our team. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for som...
Artificial Intelligence/Machine Learning Engineer
We are currently seeking an Artificial Intelligence/Machine Learning Engineer "AI/ML Engineer" in the Information Technology department, reporting to the Senior Manager of Application Development. The role will reside in the Washington, DC office with hybrid work capabilities and will be respon...