Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries
Requirements
- Proficiency in one or more approved programming languages (Java, Scala, Python, R)
- Understanding and active adherence to foundational programming principles (best practices, unit tests, code organization, basics of CI/CD)
- Expertise in one or more areas: machine learning, probability theory & statistics, optimization theory, simulation, econometrics, deep learning, natural language processing, or computer vision
- Ability to design, implement, and optimize AI solutions in production
- Experience with best practices in software design, code reviews, creating maintainable and well-tested codebases with relevant documentation
- Proficiency in data analysis and data understanding
- Ability to own design and implementation of algorithmic solutions (e.g., recommendation or forecasting algorithms), including data understanding, feature engineering, model development, validation, testing, and deployment to production
- Nuanced understanding of business-generated data, including its fundamental limitations
- Ability to evaluate tradeoffs between simple vs. complex models/solutions
Responsibilities
- Design, implement, and optimize AI solutions in production, leveraging GenAI, computer vision, and traditional ML models for marketing or site content use-cases
- Apply best practices in software design, participate in code reviews, and create maintainable, well-tested codebases with documentation
- Interact with Data Sciences team, Product teams, Scientist/Engineer individual contributors, and business partners to influence and define solutions
- Identify problems to solve and contribute to Data Sciences’ and Target’s culture
- Develop problem statements capturing business considerations, define metrics/measurements to validate model performance, and drive feasibility studies with data requirements and solution approaches
- Develop and maintain basic data pipelines
- Ensure foundational programming principles are followed in developing team’s products/models
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the Lead Data Scientist position?
This information is not specified in the job description.
Is this a remote position or what is the location requirement?
This information is not specified in the job description.
What programming languages can I use in this role?
You will develop in one or more approved programming languages including Java, Scala, Python, and R.
What expertise areas are needed for this Lead Data Scientist role?
Expertise in areas such as machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing, or computer vision is required.
What is the company culture like at Target?
Target promotes a culture of mutual care and respect, values different voices, lifts each other up, and emphasizes authenticity and respect in an inclusive learning environment.
What does the Content Creation team focus on?
The Content Creation team within Data Sciences builds AI solutions leveraging GenAI, computer vision, and traditional ML models for marketing or site content use-cases to drive relevancy with guests.
What skills make a strong candidate for this Lead Data Scientist role?
Strong candidates should have experience designing and implementing algorithmic solutions like recommendation or forecasting algorithms, foundational programming principles including best practices, unit tests, code organization, CI/CD basics, and creating maintainable, well-tested codebases with documentation.
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.
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