Machine Learning Engineer
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Role details
Tech stack
Job 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
Requirements
- 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.
Benefits & conditions
Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role., 134K-181K Annually Senior level 134K-181K Annually Senior level Automotive * Big Data * Insurance * Software * Transportation Design, develop, and deploy machine learning models and pipelines to optimize operations. Lead full ML project lifecycle, ensure model evaluation/monitoring, collaborate cross-functionally, mentor junior engineers, and drive continuous improvement in ML applications and processes. Top Skills: AirflowAws EcrAws S3Aws SagemakerCi/CdDvcNumpyPandasPythonRestful ApisScikit-LearnSQL Block, 195K-343K Annually Senior level 195K-343K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI. Top Skills: AgentsAi InfrastructureEvaluation SystemsLlmsRetrieval Architectures
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
About the company
Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.
Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com.
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