Shipt Logo

Shipt

Staff Machine Learning Engineer

Posted 22 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
137K-239K Annually
Senior level
In-Office
San Francisco, CA, USA
137K-239K Annually
Senior level
As a Staff Machine Learning Engineer, you will design and implement AI-driven solutions, build ML infrastructure, and lead teams to deliver scalable systems for real-time recommendations.
The summary above was generated by AI
ImpactAs a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive key AI initiatives. In this role, you’ll collaborate with Data Scientists to design and deploy intelligent, personalized recommendation models to drive user engagement across Shipt. You will be a hands-on senior technical contributor in the Membership organization and your work will consist of contribution to architecture, design, and implementation to deliver high quality AI driven solutions in a rapidly evolving marketplace environment.
In this role you will design, build and maintain scalable ML infrastructure and production systems as well as closely collaborate with Data Scientists to architect data pipelines for serving and training ML models for Shipt's Personalization Platform. You will also be responsible for leading the team to build scalable, low-latency, and fault-tolerant systems to serve real-time recommendations at scale and developing robust APIs and services to deliver real-time or batch recommendations (using Python, Go). This is a hands-on, cross-functional role ideal for someone who thrives at the intersection of Machine Learning, AI Engineering, and Business Impact.

What You’ll Need to Be Successful
  • PhD/MS in Computer Science, Engineering, Mathematics or equivalent work experience

  • 5+ years of experience in machine learning and backend software engineering

  • Proficiency in at least one backend programming language (e.g., Go, Java) and Python

  • Deep understanding of user modeling, embeddings, similarity search and ranking models

  • Strong experience with serving architectures (e.g., REST/gRPC APIs, model servers)

  • Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)

  • Strong grasp of distributed systems, microservices, and system design

  • Experience with SQL and NoSQL databases and working with large-scale datasets

  • Exposure to experimentation platforms and online A/B testing.

Pay Range: $137,400- $239,000 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

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.

Back-End Development, Machine Learning (ML), Python (Programming Language), Structured Programming
Bachelor's Degree or equivalent experience | Required

Work Arrangement

Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader.  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.

About Shipt

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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.

Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Shipt San Francisco, California, USA Office

44 Montgomery St, San Francisco, CA, United States, 94104

Similar Jobs

24 Days Ago
Remote or Hybrid
USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Computer Vision • Software • Transportation
As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.
Top Skills: AWSAzureGCPPython
13 Days Ago
Remote or Hybrid
U.S.
205K-273K Annually
Senior level
205K-273K Annually
Senior level
Artificial Intelligence • Automotive • Machine Learning • Transportation
Lead technical strategy and architecture for machine learning systems, mentor engineers, and design scalable solutions for data mining and real-time inference.
Top Skills: AWSAzureGCPJaxPythonPyTorchTensorFlow
13 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
200K-358K Annually
Expert/Leader
200K-358K Annually
Expert/Leader
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.
Top Skills: AWSCloud InfrastructureKubernetesMachine LearningRaySpark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account