Machine Learning Engineer II (REMOTE) at Dick's Sporting Goods

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Sports GoodsIndustries

Requirements

3+ years of experience in machine learning engineering and/or data science strongly preferred
Hands-on experience developing, deploying, and maintaining machine learning models and pipelines in production environments
Expert understanding of Python and experience with ML and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Knowledge of software engineering principles, including secure and reliable software development
Experience with model deployment tools (MLFlow, Docker, Kubernetes, FastAPI)
Experience with data versioning tools and experiment tracking (Weights & Biases, MLFlow)
Familiarity with causal inference libraries (EconML, DoWhy, CausalML) is a plus
Experience working with media data is a plus
Ability to analyze and optimize model performance, reliability, and scalability
Strong communication skills for collaborating with cross-functional teams and documenting technical work
Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field or equivalent level preferred
Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)

Responsibilities

Design and develop machine learning architecture and model deployment pipelines for batch and streaming use cases, integrating traditional ML models with causal inference methods
Optimize and improve the performance of existing ML models and systems, ensuring scalability, reliability, and efficiency
Leverage cloud deployment architecture for deploying ML and causal inference models as APIs for real-time inference with caching
Develop and maintain APIs for ML models to facilitate integration with other systems and applications
Collaborate closely with the ML Platform team to develop and maintain the ML Platform to meet business and Technology objectives using cutting edge tools and techniques
Collaborate closely with data scientists and engineers to validate and ensure data quality in production data
Develop solutions to monitor and address model drift, performance degradation, and assumption violations in deployed models
Document model assumptions, design decisions, deployment steps, and monitoring protocols for reproducibility and governance

Skills

Key technologies and capabilities for this role

Machine LearningAICausal InferenceBayesian ModelingModel DeploymentML PipelinesCloud DeploymentAPI DevelopmentModel OptimizationScalabilityReliabilityEfficiency

Questions & Answers

Common questions about this position

Is this Machine Learning Engineer II position remote?

Yes, the position is remote.

What salary or compensation is offered for this role?

This information is not specified in the job description.

What skills are required for the Machine Learning Engineer II role?

The role requires 3+ years of experience in machine learning engineering and/or data science, hands-on experience developing, deploying, and maintaining ML models and pipelines in production, expert understanding of Python, and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.

What is the company culture like at DICK’S Sporting Goods?

The culture is people-centric, collaborative, and innovative, putting athletes (customers) and teammates (employees) at the heart of decisions, with a focus on solving real business problems and empowering each other to excel.

What makes a strong candidate for this Machine Learning Engineer II position?

Strong candidates have 3+ years in ML engineering or data science, production experience with ML pipelines, expertise in Python and frameworks like TensorFlow and PyTorch, and knowledge of software engineering principles.

Dick's Sporting Goods

Retailer of sporting goods and apparel

About Dick's Sporting Goods

DICK'S Sporting Goods is a retailer specializing in sporting goods, offering a variety of products such as sports equipment, apparel, and footwear. The company operates both physical stores and an online platform, allowing customers to shop in a way that suits them best. Customers can take advantage of financing options, such as 0% APR for larger purchases, making it easier to buy what they need. DICK'S Sporting Goods also has a loyalty program called ScoreCard, which rewards customers for their purchases, encouraging them to return. What sets DICK'S apart from competitors is its commitment to customer satisfaction, highlighted by its Best Price Guarantee, and its focus on social responsibility, believing in the positive impact of sports on lives. The goal of DICK'S Sporting Goods is to provide quality sporting goods while giving back to the community and promoting ethical business practices.

Coraopolis, PennsylvaniaHeadquarters

1948Year Founded

IPOCompany Stage

Consumer GoodsIndustries

10,001+Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Increased competition from digital-first retailers could erode market share.

Closure of 35 stores in California may impact regional sales and brand presence.

Geopolitical tensions and elevated interest rates pose risks to supply chain stability.

Differentiation

DICK'S Sporting Goods offers exclusive brands and experiential retail strategies.

The company has a strong omnichannel presence, integrating online and physical stores.

DICK'S loyalty program, ScoreCard, enhances customer retention and repeat business.

Upsides

Experiential retail strategies are gaining traction, boosting customer engagement and sales.

The rise of 'athleisure' fashion aligns with DICK'S product offerings.

DICK'S Sporting Goods' strategic investments in House of Sport and Field House concepts fuel growth.

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