Autonomous Systems Data Mining Engineer Job at Skydio (San Mateo)

Autonomous Systems Data Mining Engineer

We are seeking a Data Engineer with a systems mindset to own and simplify access...

Location

United States , San Mateo

Salary:

170000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, backend engineering, or infrastructure roles
Exposure to robotics, autonomy, or real-world sensor data pipelines
Strong proficiency in Python (or similar language) and SQL
Experience designing scalable data pipelines with tools such as Apache Spark, Airflow, dbt, or equivalent
Familiarity with log processing, time-series analysis, or working with large volumes of semi-structured data
Ability to work cross-functionally with ML engineers, autonomy engineers, and product stakeholders
Systems thinking: you enjoy untangling complexity and designing elegant abstractions that empower others

Job Responsibility

Design systems to unify scattered data sources (logs, telemetry, analytics tables, media, etc.) into easily discoverable and queryable formats
Enable efficient curation of machine learning datasets by tagging, indexing, and filtering for relevant scenarios (e.g., environmental conditions, sensor behavior, scene attributes)
Build tools to automatically surface anomalies, regressions, or key signatures in logs and telemetry data (e.g., CPU usage spikes, sensor noise, degraded conditions)
Develop mechanisms to rapidly compare releases and surface regressions in performance metrics, resource usage, and data quality
Architect and maintain scalable data pipelines and services to index, enrich, and query multimodal autonomy data (e.g., time series, media, tabular analytics)
Collaborate with autonomy and ML teams to understand data usage patterns and build tools that streamline their workflows
Develop efficient methods for search, tagging, and filtering over structured and unstructured data
Help design systems to label and retrieve rare or complex scenarios, both automatically at ingestion and via manual search
Build dashboards and visualizations to support release monitoring and anomaly detection across a variety of system health signals

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan
Group health insurance plans

Fulltime

Applied AI Engineer - Flywheel Automation & Continuous Learning

Kodiak is seeking a world-class Applied AI Engineer to design and build the AI F...

Location

United States , Mountain View

Salary:

180000.00 - 240000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
3+ years of experience building production-grade ML infrastructure or model pipelines
Deep proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with distributed training and pipeline orchestration (e.g., Airflow, Kubeflow, Dagster)
Strong engineering fundamentals, debugging skills, and ability to scale systems
Passion for turning real-world data into self-improving AI systems

Job Responsibility

Design and implement the end-to-end AI Flywheel, platforms for training, validation, deployment, and building a robust automated system
Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP, Horovod, or Ray
Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs
Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment
Build infrastructure for seamless model image packaging, validation, and rollout across Kodiak’s autonomous fleet and AI platform
Ensure that the flywheel is reliable, reproducible, and scalable, capable of learning from millions of real-world miles

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Control Systems Engineer

We are currently seeking an experienced Control Systems Engineer to join the tea...

Location

Australia , Glenden

Salary:

Not provided

Peabody Energy

Expiration Date

Until further notice

Requirements

Electrical Engineering, Mechatronics, or Electrical Trade background with strong PLC programming experience
Experience in Rockwell Automation software, including Allen-Bradley PLCs and Plant SCADA
Strong capability in SCADA system development, maintenance, and troubleshooting
Hands-on experience with automation and control system projects in heavy industrial environments
Exposure to underground coal mining is highly desirable, but applicants from heavy industry or industrial automation backgrounds are encouraged to apply
Self-motivated, proactive, and comfortable working autonomously in a dynamic mining environment
Strong interpersonal and communication skills, with the ability to engage with cross-functional teams

Job Responsibility

Develop and implement standards for plant control systems (PCS) and automation processes
Manage and maintain PCS, including SCADA and PLC programming, troubleshooting, and continuous improvement
Supervise contractors and site personnel involved in control systems and automation projects
Install, program, and maintain Rockwell Automation (Allen-Bradley, Plant SCADA, Citect SCADA, and PLC systems)
Troubleshoot and rectify faults within data networks including Ethernet, ControlNet, and Modbus communication systems
Collaborate with Electrical Engineering Manager, Mine Manager, CHPP Superintendent, and General Manager to achieve operational targets
Ensure compliance with relevant legislation, policies, and safety regulations

What we offer

Competitive salary package + relocation benefits (one month’s salary lump sum payment)
Novated vehicle leasing and health & lifestyle benefits (WHEREFIT)
Employee assistance program for you and your family
Employee recognition programs

Fulltime

Applied AI Engineer - Flywheel Automation & Continuous Learning

Kodiak is seeking a world-class Applied AI Engineer to design and build the AI F...

Location

United States , Mountain View

Salary:

180000.00 - 240000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
3+ years of experience building production-grade ML infrastructure or model pipelines
Deep proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with distributed training and pipeline orchestration (e.g., Airflow, Kubeflow, Dagster)
Strong engineering fundamentals, debugging skills, and ability to scale systems
Passion for turning real-world data into self-improving AI systems

Job Responsibility

Design and implement the end-to-end AI Flywheel, platforms for training, validation, deployment, and building a robust automated system
Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP, Horovod, or Ray
Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs
Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment
Build infrastructure for seamless model image packaging, validation, and rollout across Kodiak’s autonomous fleet and AI platform
Ensure that the flywheel is reliable, reproducible, and scalable, capable of learning from millions of real-world miles

What we offer

Competitive compensation package including equity and annual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
Flexible PTO, 10 paid holidays, and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Autonomy Engineer - Deep Learning

Learning a semantic and geometric understanding of the world from visual data is...

Location

Switzerland , Zurich

Salary:

Not provided

Skydio

Expiration Date

Until further notice

Requirements

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

Job Responsibility

Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

What we offer

Competitive base salaries
Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Group health insurance plans
Paid vacation time
Sick leave
Holiday pay
Retirement savings plan

Fulltime

Autonomy Engineer - Deep Learning

Learning a semantic and geometric understanding of the world from visual data is...

Location

United States , San Mateo

Salary:

170000.00 - 277500.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

Job Responsibility

Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Group health insurance plans
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Autonomy Engineer - Deep Learning

Learning a semantic and geometric understanding of the world from visual data is...

Location

United States , San Mateo

Salary:

170000.00 - 277500.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

Job Responsibility

Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Staff Machine Learning Engineer - Autonomy

As a Staff Machine Learning Engineer within the Autonomy team, you’ll lead criti...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production
Expert in deep learning (esp. sequential models, control, planning, or perception)
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Job Responsibility

Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems
Collaborate cross-functionally across various teams to ensure integration and iteration velocity
Mentor senior engineers and shape the long-term technical direction across Autonomy

Fulltime

Autonomous Systems Data Mining Engineer

Skydio

Location:
United States , San Mateo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 03, 2026

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Autonomous Systems Data Mining Engineer

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Location:United States , San Mateo

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Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 03, 2026

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January 03, 2026