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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Shipt, Inc. - **Location:** Birmingham, AL, United States (Remote available) - **Experience:** Expert - **Salary:** $196,000.0 - $309,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Model Validation, Information Technology - **Published:** August 6, 2026 - **Apply:** https://shipt.wd1.myworkdayjobs.com/Shipt_External/job/US-Remote/Senior-Machine-Learning-Engineer_R4287 ## About the Role * 4+ years of experience in applying machine learning and statistics in an industry setting, with a track record of delivering impactful results * PhD or Masters in Computer Science, Statistics, or a related field * Experience with building and deploying machine learning models * Experience with experiment design, rollout, analysis and reporting * 4+ years Python development * Experience presenting to stakeholders * Experience leading key technical projects and substantially influencing the scope and output of others Skills & Education This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below. Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language)Bachelor's Degree or equivalent experience | RequiredWork Arrangement To foster connection while offering continued flexibility, hybrid team members have the following in-office expectations: Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays. Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday. Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role. ## Description ImpactAs a Senior Data Scientist on the Foundations team at Shipt, you will be responsible for implementing cutting edge models, and designing and analyzing advanced experiments in collaboration with product, business, and engineering teams to solve key challenges across multiple pricing domains at Shipt. On this highly visible team, you will be the subject matter expert in a machine learning domain or experimentation with a focus on building cutting edge ML solutions and validating the impact of algorithmic changes to key business metrics and presenting recommendations to key stakeholders., Lead and grow an ML engineering team responsible for the end-to-end ML lifecycle: data collection, preprocessing, model development, deployment, evaluation and monitoring. Research and implement scalable ML and generative AI techniques (recommendation and agentic systems), mentor and hire engineers, drive pragmatic, business-focused solutions, and communicate technical results to stakeholders. Top Skills: Agentic SystemsGenerative AiMachine LearningMl InfrastructureRecommendation Systems Agero ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)