Make more Creative Job Post Content< Lead Machine Learning Engineer (Deep Learning, Applied ML, Python, PySpark)
- Responsibilities:
Target, a Fortune 50 company and one of America’s most beloved retail brands, is at the forefront of innovation. With more than 350,000 team members worldwide, we aim to bring joy to families through unparalleled shopping experiences. Our global Tech and Data Sciences team is over 5,000 strong, driving advancements that transform our business, improve guest experiences, and create meaningful impact in our communities.
As a Lead Machine Learning Engineer, you’ll contribute to cutting-edge AI solutions powering personalized recommendations for millions of guests across Target.com and the Target App. Working in our in-house tech team, you’ll blend creativity, technical expertise, and collaboration to revolutionize the way we serve our guests.
What You’ll Do
- Innovate with ML Solutions: Design, build, and optimize machine learning models for personalized shopping experiences.
- Engineer Excellence: Implement end-to-end ML applications, including data pipelines, model deployment, and API design.
- Collaborate Across Teams: Partner with data scientists, software engineers, and product managers to translate business requirements into scalable AI solutions.
- Code with Precision: Write maintainable, well-tested code using Python, PySpark, and leading ML frameworks like PyTorch, TensorFlow, and XGBoost.
- Lead and Inspire: Mentor junior team members in ML skills and career development while contributing to organizational knowledge and strategy.
- Optimize Big Data: Leverage technologies like Hadoop, Kafka, and Spark to power AI-driven solutions.
- Drive Continuous Improvement: Create and maintain CI/CD pipelines for seamless model deployment and system reliability.
- Communicate Insights: Share compelling data-driven stories through visualizations, presentations, and narratives for technical and non-technical audiences.
What You Bring
Required Qualifications
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or equivalent work experience.
- 5+ years of experience in machine learning application development, deployment, and optimization.
- Expertise in Python, PySpark, and ML frameworks like TensorFlow, PyTorch, and XGBoost.
- Proficiency in cloud ML platforms such as Vertex AI, Azure ML, or SageMaker.
- Experience with distributed training frameworks and serving systems like Spark, TensorFlow Serving, or FastAPI.
- Strong background in Big Data technologies and CI/CD pipelines.
- Exceptional communication and teamwork skills, with a proven ability to mentor and lead others.
Preferred Skills
- Experience working in hybrid environments with both on-site and virtual collaboration.
- Knowledge of the retail or e-commerce domain is a plus.
Why Join Target?
Compensation: Competitive salary range: $126,600.00 - $227,900.00, based on experience and expertise.
Comprehensive Benefits: From medical, dental, and vision plans to 401(k), paid time off, and exclusive team member discounts, Target invests in your total well-being.
Flexible Work Arrangement: Hybrid work model based on business needs, combining onsite collaboration and remote flexibility.
Inclusive Culture: Target celebrates diversity and is committed to creating an environment where every team member feels valued and supported.
