Top 97 Data mining Jobs in San Francisco, Ca

Senior Machine Learning Engineer, Data Mining
Motional —San Francisco, CA
- $172,000 - $229,000 a year
- Hybrid work
- Computer science
- Azure
- 6 years
Quick Apply
Product Analyst, Research
EvenUp —San Francisco, CA
- $156,609 - $256,090 a year
- Full-time
- Hybrid work
- Mid-level
- SQL
- Communication skills
- Paid parental leave
- Disability insurance
Project Associate, Cyber Breach
Contact Discovery Services LLC —San Francisco, CA
- $70,000 - $110,000 a year
- Extended hours
- Remote
- Heavy lifting
- Customer service
- Data analysis skills
Quick Apply
FBI Special Agent: Advanced Data & Intelligence Expertise
Federal Bureau of Investigation —San Francisco, CA
- $103,236 - $133,200 a year
- Full-time
- Doctoral degree
- Master's degree
- Analysis skills
4d
Forensic Accounting Senior Consulting
Crowe —San Francisco, CA
- $76,200 - $151,000 a year
- Full-time
- Microsoft Word
- CPA
- Finance
Quick Apply
Field Sales Representative (Manheim)
Cox Automotive —Oakland, CA
- $70,700 - $106,100 a year
- Full-time
- Remote
- Clean driving record
- Dealership
- Mid-level
- Paid jury duty
- Paid holidays
Field Sales Representative (Manheim)
Cox Automotive —Walnut Creek, CA
- $70,700 - $106,100 a year
- Full-time
- Remote
- Clean driving record
- Dealership
- Mid-level
- Paid jury duty
- Paid holidays
Field Sales Representative (Manheim)
Cox Automotive —California
- $70,700 - $106,100 a year
- Full-time
- Remote
- Clean driving record
- Dealership
- Mid-level
- Paid jury duty
- Paid holidays
Data Scientist, Product Analytics
Meta —Burlingame, CA
- $119,000 - $173,000 a year
- Computer science
- Computer Science
- Master's degree
Machine Learning Engineer
Happy Elements —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
Senior Data Scientist
Amplitude —San Francisco, CA
- $190,000 - $316,000 a year
- Computer Science
- Master's degree
- SQL
- Paid parental leave
- Employee stock purchase plan
Quick Apply
Artificial Intelligence (AI) & Machine Learning (ML
KPI Manufacturing —San Francisco, CA
- $83,318.94 - $100,341.09 a year
- Full-time
- Java
- AWS
- In-person
Quick Apply
11d
Date Scientist
IDEASVOICE —San Francisco, CA
- Computer science
- Computer Science
- Math
Data Scientist II - Big Data R&D, Identity Graph & KYC
Socure —San Francisco, CA
- $140,000 - $170,000 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- 1 year
Research Scientist, Visual Data and Generative Research
Google —San Francisco, CA
- $147,000 - $211,000 a year
- Full-time
- Computer Science
- Office
- C++
Senior Data Scientist
U.S. Bank National Association —San Francisco, CA
- $132,260 - $155,600 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
4d
M&A Data Analytics Senior Consultant
Deloitte —San Francisco, CA
- $110,700 - $218,300 a year
- Full-time
- CPA
- Finance
- Bachelor's degree
- Opportunities for advancement
Data Scientist, Analytics (Technical Leadership)
Meta —San Francisco, CA
- $210,000 - $281,000 a year
- Computer science
- Computer Science
- Master's degree
Staff Data Scientist
Intuit —San Francisco, CA
- $185,500 - $262,500 a year
- Computer science
- Azure
- Computer Science
9d
Software Engineer, Data Infrastructure
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Fair chance
- Paid parental leave
- Dental insurance

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Senior Machine Learning Engineer, Data Mining

Motional -
San Francisco, CA

Quick Apply

Job Details

$172,000 - $229,000 a year

Qualifications

AI models
Software engineering
Reinforcement learning
Engineering development testing
Software deployment
System design
AI platforms (beyond public GPTs)
Computational framework
System design for system development
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Containerization
Continuous integration
Mentoring
Software testing
Model training
System deployment
Machine learning libraries
Machine learning frameworks
Design (software development lifecycle)
MLOps

Full Job Description

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
Demonstrated ability to ship production-grade ML systems and mentor team members.
Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

MS/PhD in Computer Science, Machine Learning, or related field.
Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
Background in autonomous driving, robotics, or real-time decision-making systems.
Familiarity with multimodal learning, sensor fusion, or embodied AI.
Experience building active learning loops, using the model to find the data that breaks the model.
Experience with ML-based data mining, active learning, or contrastive learning.
Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
Publications or open-source contributions in RL, distillation, or efficient ML.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Quick Apply

Refine Your Search

data mining jobs in san francisco, ca

Senior Machine Learning Engineer, Data Mining

Product Analyst, Research

Project Associate, Cyber Breach

FBI Special Agent: Advanced Data & Intelligence Expertise

Forensic Accounting Senior Consulting

Field Sales Representative (Manheim)

Field Sales Representative (Manheim)

Field Sales Representative (Manheim)

Data Scientist, Product Analytics

Machine Learning Engineer

Senior Data Scientist

Artificial Intelligence (AI) & Machine Learning (ML

Date Scientist

Data Scientist II - Big Data R&D, Identity Graph & KYC

Research Scientist, Visual Data and Generative Research

Senior Data Scientist

M&A Data Analytics Senior Consultant

Data Scientist, Analytics (Technical Leadership)

Staff Data Scientist

Software Engineer, Data Infrastructure

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