Lead Data Scientist-Deep Learning Specialist

Pleasanton, CA, US • Posted 30+ days ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Customer Service
  • Customer Relationship Management (CRM)
  • Real-time
  • Workflow
  • Scalability
  • Evaluation
  • PyTorch
  • TensorFlow
  • Unity
  • Distributed Computing
  • Data Processing
  • Apache Spark
  • Python
  • NumPy
  • Pandas
  • scikit-learn
  • PySpark
  • Extract
  • Transform
  • Load
  • GPU
  • Machine Learning (ML)
  • Deep Learning
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Databricks
  • Streaming
  • Apache Kafka
  • Generative Artificial Intelligence (AI)
  • Electronic Commerce
  • Supply Chain Management
  • Analytics
  • Collaboration
  • Partnership
  • Finance
  • Training
  • Video
  • Innovation
  • Distribution
  • Manufacturing
  • Retail
  • SAP BASIS
  • Law
  • Endevor
  • Accessibility
  • Life Insurance

Summary

Job Description

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.

Main responsibilities:
  • Design end-to-end deep learning model development, from problem framing and target definition through architecture selection, training strategy, evaluation, and iteration within a Databricks Lakehouse environment
  • Architect and build end-to-end deep learning pipelines, from data ingestion and feature engineering to training, deployment, scaling, and monitoring
  • Build rigorous evaluation frameworks using offline metrics and explainability methods such as SHAP-based feature importance and prediction-level explanations.
  • Implement distributed training and large-scale data processing using Apache Spark
  • Build scalable batch and real-time inference pipelines integrated with Databricks workflows
  • Lead fine-tuning and adaptation of large models and foundation models using custom data, with checkpoints, experiments, and model artifacts tracked in MLflow and prepared for governed deployment
  • Optimize data pipelines and model performance for scalability, latency, and cost efficiency
  • Collaborate with cross-functional teams to productionize ML solutions on the Lakehouse

The position will be based in Pleasanton, CA.

We are looking for candidates who possess the following:

Required Qualifications
  • Proven experience leading deep learning model development for complex business problems, including problem formulation, experimentation, evaluation, and productionization.
  • Strong hands-on expertise in PyTorch or TensorFlow and modern neural architectures, with experience scaling training using multi-GPU or distributed approaches
  • Deep hands-on experience with Databricks, including Delta Lake, Spark, and MLflow, Unity Catalog, governance, and security
  • Strong experience with distributed computing and large-scale data processing (Apache Spark)
  • Proficiency in Python and ML/data ecosystems (NumPy, Pandas, Scikit-learn, PySpark)
  • Strong understanding of feature engineering and data pipeline design in a Lakehouse architecture
  • Expertise in distributed training and inference (multi-GPU, multi-node systems)
  • Experience designing high-throughput, low-latency inference systems
  • Experience building feature stores and reusable ML components within Databricks

Preferred Qualifications
  • Experience deploying large-scale deep learning models (e.g., LLMs, recommendation systems) on Databricks
  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) alongside Databricks
  • Experience with streaming pipelines (Structured Streaming, Kafka integration)
  • Experience with generative AI, LLM fine-tuning, or foundation models
  • Background in retail, e-commerce, or supply chain analytics

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.

#LI-MF1

About Us

Albertsons Companies is at the forefront of the revolution in retail. Committed to innovation and fostering a culture of belonging, our team is united with a unique purpose: to bring people together around the joys of food and to inspire well-being. We want talented individuals to be part of this journey!

Locally great and nationally strong, Albertsons Companies (NYSE: ACI) is a leading food and drug retailer in the U.S. We operate over 2,200 stores, 1,732 pharmacies, 405 fuel centers, 22 distribution facilities, and 19 manufacturing plants across 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, ACME, Shaw's, Tom Thumb, United Supermarkets, United Express, Randalls, Albertson's Market, Pavilions, Star Markets, Market Street, Carrs, Haggen, Lucky, Amigos, Andronico's Community Markets, King's, Balducci's, and Albertson's Market Street.

Our vision is to be a retail leader admired for national strength with deep local roots, offering an easy, fun, friendly, and inspiring experience, no matter how customers choose to shop with us. We celebrate the rich diversity of the communities we serve, and strive to create a workplace where everyone has equal access to opportunities and resources, and can fully contribute to their and our company's success.

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.

Disclaimer

The above statements are intended to describe the general nature of work performed by the employees assigned to this job and are not the official job description for the position. All employees must comply with Company, Division, and Store policies and applicable laws. The responsibilities, duties, and skills of personnel may vary within store and/or from store to store and the official job description will be provided during the application process.

Albertsons is an Equal Opportunity Employer

This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, the Company will consider for employment qualified applicants with arrest and conviction records.

We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 1-(option #4).

About the Team

Pay Transparency:

Starting rates will be no less than the local minimum wage and may vary based on criteria such as location, experience, and qualifications. Candidates with unique qualifications may be considered for compensation above this range. Benefits may include medical, dental, vision, disability and life insurance, sick pay, PTO/Vacation Pay or Flexible Time Off, paid holidays, bereavement pay, and retirement benefits (pension and/or 401k eligibility). [If applicable:] Associates in this position may be eligible for a quarterly bonus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1c7289
  • Position Id: 10d579b61ad235362d19b87388ba784e
  • Posted 30+ days ago
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