Top 40 Lead data scientist Jobs in San Jose, Ca

Lead Data Scientist-Deep Learning Specialist
Safeway —Pleasanton, CA
- $157,900 - $205,300 a year
- Full-time
- Azure
- AWS
- Fair chance
- Paid holidays
- Disability insurance
Quick Apply
(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation
TikTok —San Jose, CA
- $244,800 - $450,000 a year
- Computer Science
- 5 years
- Bachelor's degree
- Paid parental leave
- Paid holidays
Sr. Lead Data Analyst (Merchandising and Revenue)
Poshmark —Redwood City, CA
- Full-time
- Hybrid work
- Computer science
- 7 years
- Computer Science
Tech Lead, Machine Learning Engineer - TikTok-Data-Search-NLP
TikTok —San Jose, CA
- $244,800 - $450,000 a year
- Computer Science
- 5 years
- Bachelor's degree
- Paid parental leave
- Paid holidays
Tech Lead, YouTube Shorts Discovery, ML Recommendations
YouTube —Mountain View, CA
- $207,000 - $300,000 a year
- Full-time
- Management
- Computer Science
- System design
2d
Principal Applied AI Lead, Talent
Intuit —Mountain View, CA
- $182,500 - $271,500 a year
- 6 years
- APIs
- Senior level
Machine Learning Lead - Geospatial, Bellwether
Loon —Mountain View, CA
- $197,000 - $311,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Staff Technical Lead Manager, Simulation, Machine Learning
Waymo —Mountain View, CA
- $238,000 - $302,000 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- 5 years
Lead AI Engineer
UST —Santa Clara, CA
- $106,000 - $159,000 a year
- Azure
- Management
- AWS
- Paid jury duty
- Health savings account
Quick Apply
9d
Lead Machine Learning Engineer-MLOps
JPMorganChase —Palo Alto, CA
- $164,350 - $260,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Bachelor's degree
- Health insurance
- Tuition reimbursement
AI Enablement Lead
Waymo —Mountain View, CA
- $200,000 - $247,000 a year
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
13d
Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI
Eightfold.AI —Santa Clara, CA
- $193,125 - $257,500 a year
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Technical Lead
Spectro Cloud —San Jose, CA
- Hybrid work
- Computer science
- Azure
- Computer Science
Staff Tech Lead Manager, Machine Learning, Simulator Evaluation
Waymo —Mountain View, CA
- $238,000 - $302,000 a year
- Full-time
- Management
- Computer Science
- 3 years
6d
Lead Software Engineer, ML
Cadence Design Systems —San Jose, CA
- $114,800 - $213,200 a year
- Full-time
- System design
- Linux
- Senior level
- Employee stock purchase plan
- Paid holidays
Tech Lead Manager, Recommendations - USDS
TikTok USDS JV —San Jose, CA
- $208,800 - $616,000 a year
- Hybrid work
- Computer Science
- Bachelor's degree
- Mentoring
- Paid parental leave
- Paid holidays
7d
Lead AI Engineer
BMC Software —Santa Clara, CA
- $152,925 - $254,875 a year
- Hybrid work
- Azure
- 6 years
- Bachelor of Science
Tech Lead Machine Learning Engineer - CV/NLP/Multimodal LLM, Trust and Safety
TikTok —San Jose, CA
- $244,800 - $588,000 a year
- Management
- Computer Science
- System design
- Paid parental leave
- Paid holidays
AI Solutions lead
Lam Research —Fremont, CA
- $141,000 - $307,000 a year
- Azure
- Computer Science
- Product management
Tech Lead Manager, Large Language Models & Generative AI
ByteDance —San Jose, CA
- $700,000 - $1,450,000 a year
- Computer Science
- Analysis skills
- Bachelor's degree
- Paid parental leave
- Paid holidays

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Lead Data Scientist-Deep Learning Specialist

Safeway -
Pleasanton, CA

Quick Apply

Job Details

Full-time
$157,900 - $205,300 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Bereavement leave
Life insurance
Paid sick time

Qualifications

GPU programming
Scikit-learn
Databricks
GPU architecture
Data lake
High-performance computing clusters
Spark
NumPy
Process design
AI platforms (beyond public GPTs)
Scalable systems
Data governance
Pandas
Application design
Developing large-scale AI models
Scalability
Model training
Distributed computing
Model evaluation
Feature engineering

Full 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, GCP) 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

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.

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).

Quick Apply

Refine Your Search

lead data scientist jobs in san jose, ca

Lead Data Scientist-Deep Learning Specialist

(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation

Sr. Lead Data Analyst (Merchandising and Revenue)

Tech Lead, Machine Learning Engineer - TikTok-Data-Search-NLP

Tech Lead, YouTube Shorts Discovery, ML Recommendations

Principal Applied AI Lead, Talent

Machine Learning Lead - Geospatial, Bellwether

Staff Technical Lead Manager, Simulation, Machine Learning

Lead AI Engineer

Lead Machine Learning Engineer-MLOps

AI Enablement Lead

Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Technical Lead

Staff Tech Lead Manager, Machine Learning, Simulator Evaluation

Lead Software Engineer, ML

Tech Lead Manager, Recommendations - USDS

Lead AI Engineer

Tech Lead Machine Learning Engineer - CV/NLP/Multimodal LLM, Trust and Safety

AI Solutions lead

Tech Lead Manager, Large Language Models & Generative AI

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