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

Sunnyvale, California, United States

Apply Now

$128,000 – $277,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Technology, E-commerceIndustries

Requirements

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+ 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 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
Ability to work in partnership with applied data scientists, software engineers and product managers to understand business requirements and 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 junior team members in ML Ops skillsets and career development

Responsibilities

Designing, implementing, and optimizing production machine learning solutions for personalized recommendations on Target.com and the Target App
Understanding best practice software design
Participating in code reviews
Creating a maintainable well-tested codebase with relevant documentation
Conducting training sessions
Presenting work to technical and non-technical peers/leaders
Building knowledge on business priorities/strategic goals and leveraging this knowledge while building requirements and solutions for each business need

Skills

Python

ML Ops

Vertex AI

Machine Learning

Recommender Systems

Personalization

Software Design

Code Reviews

Target

Retailer offering diverse consumer goods

About Target

Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.

Minneapolis, MinnesotaHeadquarters

2005Year Founded

N/ACompany Stage

Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Sick Leave

Paid Holidays

Paid Vacation

401(k) Retirement Plan

Employee Discounts

Risks

Increased competition from online-only retailers like Amazon threatens Target's market share.

Rising labor costs due to new minimum wage laws could impact profit margins.

Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.

Differentiation

Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.

The Target Circle loyalty program enhances customer engagement and shopping experience.

Target's commitment to sustainability and community support sets it apart from competitors.

Upsides

Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.

Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.

Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.

Land your dream remote job 3x faster with AI

Try Jobo Free