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Neural Networks Jobs in California (NOW HIRING)

Albertsons

Principal Data Scientist

Pleasanton, CA · On-site

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 ...

Safeway

Principal Data Scientist (Pleasanton)

Sunol, CA · On-site

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 ...

Open Orion

ML Engineer

San Francisco, CA · On-site

... graph neural networks • Familiarity with computational geometry concepts meshes, BREP/NURBS, surface discretization • Exposure to CAD/CAE workflows, simulation tools, or geometry kernels • ...

Albertsons

Principal Data Scientist

Pleasanton, CA · On-site

$200K - $250K/yr

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 ...

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$29.4K

$129.6K

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How much do neural networks jobs pay per year?

As of Sep 5, 2026, the average yearly pay for neural networks in California is $129,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,694.00 and $164,510.00 per year, depending on experience, location, and employer.

What is a neural networks job?

A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.

What are the key skills and qualifications needed to thrive in a neural networks position?

To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.

What are the most common challenges faced in a neural networks role, and how can I prepare for them?

Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.

What are the most commonly searched types of Neural Networks jobs in California?

The most popular types of Neural Networks jobs in California are:

What are popular job titles related to Neural Networks jobs in California?

For Neural Networks jobs in California, the most frequently searched job titles are:

What job categories do people searching Neural Networks jobs in California look for?

The top searched job categories for Neural Networks jobs in California are:

What cities in California are hiring for Neural Networks jobs?

Cities in California with the most Neural Networks job openings:

Neural Networks jobs near you
Infographic showing various Neural Networks job openings in California as of August 2026, with employment types broken down into 42% Full Time, 57% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $129,641 per year, or $62.3 per hour.

Principal Data Scientist

Albertsons

Pleasanton, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Albertsons rating

5.9

Company rating: 5.9 out of 10

Based on 1,169 frontline employees who took The Breakroom Quiz

68th of 124 rated grocery stores

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.
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.
#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 1-888-255-2269(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.

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