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Target · 3 weeks ago

Lead Machine Learning Engineer - Personalization/Recommender Systems (Python, ML Ops, Vertex AI)

Sunnyvale, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$128K/yr - $277K/yr

5+ years exp

Target is a company focused on helping families discover the joy of everyday life. As a Lead Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning solutions for personalized recommendations on Target.com and the Target App, while also conducting training sessions and collaborating with various teams.

CommunitiesE-CommerceRetailShopping

H1B Sponsor Likely

Responsibilities

Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop

You will play a crucial role in designing, implementing, and optimizing production machine learning solutions

Conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need

Qualification

Machine LearningPythonML frameworksCloud ML servicesCI/CD pipelinesBig Data techDistributed trainingCommunicationTeam collaborationMentoring

Required

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience

MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience

5 plus years' of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design

Highly proficient programming in Python

Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX

Experience with one or more cloud ML services such as Vertex AI, Azure ML or Sagemaker

Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed

Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI

Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc

Experience creating and maintaining CI/CD pipelines for automated model deployment and testing

Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale

Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives

Self-driven and results oriented; able to meet tight timelines

Motivated, team player with ability to collaborate effectively across global team

Experience in mentoring the junior team members ML Ops skillsets and career development

Benefits

Comprehensive health benefits and programs

Medical

Vision

Dental

Life insurance

401(k)

Employee discount

Short term disability

Long term disability

Paid sick leave

Paid national holidays

Paid vacation

Company

Target

Glassdoor3.5

Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.

Founded in 1962

Minneapolis, Minnesota, USA

10001+ employees

https://www.target.com

H1B Sponsorship

Target has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (2)