Principal Data Scientist

Why choose us

Are you ready to take the next step in your career Join us for an exciting opportunity at Albertsons Companies where innovation and customer service go hand-in-hand!

At Albertsons Companies we are looking for someone whos not just seeking a job but someone who wants to make an this role youll have the opportunity to lead innovate and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced dynamic environment thats constantly evolving.

Bring your flavor

Building the future of food and well-being starts with you. Join our team and bring your best self to the table.

The position will be based in Pleasanton CA.

Main responsibilities:

• Lead the design and development of end-to-end deep learning solutions from problem formulation and model architecture selection through deployment and continuous optimization within the Databricks Lakehouse platform.
• Serve as the technical authority for Graph Neural Networks (GNNs) graph representation learning and advanced deep learning architectures driving innovation and adoption across high-impact business problems.
• Architect scalable machine learning and deep learning platforms establishing reusable frameworks standards and best practices for model development deployment and lifecycle management.
• Define and implement robust evaluation explainability and model governance frameworks to ensure model quality transparency and business impact.
• Lead the development and optimization of distributed training large-scale data processing and inference systems using Spark and modern AI infrastructure.
• Drive the fine-tuning adaptation and product ionization of foundation models large language models (LLMs) and other advanced AI architectures leveraging enterprise data assets.
• Partner with Data Science Engineering Product and Business leaders to translate strategic opportunities into scalable AI solutions that deliver measurable value.
• Influence AI strategy technical roadmaps and architectural decisions while mentoring senior practitioners and advancing organizational AI capabilities.

Required Qualifications

Education

• PhD in Computer Science Artificial Intelligence Machine Learning Applied Mathematics Statistics Operations Research or a related quantitative field strongly preferred.
• Masters degree with exceptional equivalent industry research and leadership experience may be considered.

Experience

• 12 plus years of experience developing and deploying machine learning and deep learning solutions in production environments.
• 8 plus years of experience leading advanced deep learning research experimentation and enterprise-scale implementation efforts.
• Demonstrated experience operating as a Principal Scientist Principal AI Engineer Distinguished Engineer Research Lead or equivalent senior technical individual contributor.

Technical Expertise

Deep expertise in:

• Deep Learning
• Graph Neural Networks (GNNs)
• Graph Representation Learning
• Graph Embeddings
• Knowledge Graphs
• Graph Transformers
• Foundation Models and LLMs

Expert-level hands-on proficiency in PyTorch and/or TensorFlow.

Extensive experience building large-scale distributed machine learning solutions using:

• Apache Spark
• PySpark
• Databricks Lakehouse
• Delta Lake
• MLflow
• Unity Catalog

• Expert knowledge of model training optimization serving and lifecycle management across distributed GPU environments.
• Proven experience designing enterprise-grade inference systems balancing accuracy latency reliability scalability and operational cost.
• Advanced proficiency in Python and machine learning ecosystems including NumPy Pandas Scikit-learn PyTorch TensorFlow and related frameworks

Research & Thought Leadership

• Strong publication record in leading machine learning artificial intelligence graph machine learning or data science conferences and journals.
• Proven track record translating advanced research into measurable business outcomes.
• Demonstrated technical leadership through patents publications conference presentations open-source contributions or recognized industry thought leadership.

Preferred Qualifications

Deep expertise in advanced graph learning architectures including:

Graph Convolutional Networks (GCNs)

GraphSAGE

Graph Attention Networks (GATs)

Heterogeneous Graph Neural Networks

Temporal Graph Networks

Graph Transformers

• Experience building and deploying LLM generative AI retrieval-augmented generation (RAG) multimodal AI and agentic AI solutions.
• Experience operating large-scale AI platforms on AWS Azure and/or Google Cloud Platform.
• Experience with Ray Kubernetes Docker Nvidia CUDA ecosystem Triton Inference Server and distributed GPU infrastructure.
• Experience designing streaming inference architectures using Kafka Structured Streaming and real-time decisioning systems.
• Experience leading enterprise AI transformations across multiple business units.
• Background in retail e-commerce supply chain customer intelligence recommendations fraud detection network optimization or large-scale graph applications.
• Recognized industry subject matter expert with demonstrated influence beyond immediate organizational boundaries

• We also provide a variety of benefits including:
• Competitive wages paid weekly

• Associate discounts
• Health and financial well-being benefits for eligible associates (Medical Dental 401k and more!)
• Time off (vacation holidays sick pay). For eligibility requirements please visit myACI Benefits
• Leaders invested in your training career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve

Our Values Click below to view video: ACI Values

A copy of the full job description can be made available to you.

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