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 who’s not just seeking a job, but someone who wants to make an impact. In this role, you’ll 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 that’s 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.
- Master's 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
· Access to up to 50% of your earned wages before payday, via our partnership with Stream
- 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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