Autonomy Engineer - Deep Learning Job at Skydio (San Mateo)

Senior Software Engineer, Autonomy - Perception, Deep Learning

We are seeking an experienced Senior Software Engineer to join our Perception te...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in computer science, computer engineering, robotics, or similar technical field of study
4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc.
Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization
Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking)
Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc.
Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc.
Excellent written & verbal communication skills

Job Responsibility

Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data
Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development
Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments
Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...

Location

United States; Canada

Salary:

189900.00 - 237400.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

6+ years of experience delivering end to end solutions that drive business growth
Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
Strong expertise creating custom embeddings from raw data sources
Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
Strong communication skills with technical and non-technical stakeholders
Background in consumer-facing products preferred
Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Job Responsibility

Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Machine Learning Computer Vision MS/PhD Summer Internship

Join STR’s Video & Image Understanding (VIU) Group as a summer intern to develop...

Location

United States , Arlington

Salary:

89000.00 - 112000.00 USD / Year

STR

Expiration Date

Until further notice

Requirements

Enrollment in an MS or PhD degree program in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline
Successful track record of applying machine learning algorithms, such as deep learning or reinforcement learning, to computer vision or autonomy problems
Strong academic record and interest in research
Experience in scientific software development, particularly with Python
This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government.

Job Responsibility

You will work as part of a project team with focused mentorship from experienced staff
You will adapt, extend and optimize innovative machine learning algorithms for solving challenging computer vision or autonomy problems
You will collaborate with STR research engineers as well as academic researchers, who are often part of our team, to develop practical and powerful machine learning and computer vision solutions
You will have the opportunity to evaluate and optimize machine learning performance on relevant and practical data sets.

What we offer

Competitive pay
Housing stipend
Flexibility/work-life balance
Vibrant community with fun summer activities inside and outside the office
Intern seminars and tech talks
Strong track record of interns returning for subsequent summers and future full-time employment.

Fulltime

Machine Learning Computer Vision MS/PhD Summer Internship

Join STR’s Video & Image Understanding (VIU) Group as a summer intern to develop...

Location

United States , Melbourne

Salary:

89000.00 - 112000.00 USD / Year

STR

Expiration Date

Until further notice

Requirements

Enrollment in an MS or PhD degree program in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline
Successful track record of applying machine learning algorithms, such as deep learning or reinforcement learning, to computer vision or autonomy problems
Strong academic record and interest in research
Experience in scientific software development, particularly with Python
This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government

Job Responsibility

Work as part of a project team with focused mentorship from experienced staff
Adapt, extend and optimize innovative machine learning algorithms for solving challenging computer vision or autonomy problems
Collaborate with STR research engineers as well as academic researchers to develop practical and powerful machine learning and computer vision solutions
Evaluate and optimize machine learning performance on relevant and practical data sets

What we offer

Competitive pay
Housing stipend
Flexibility/work-life balance
Vibrant community with fun summer activities inside and outside the office
Intern seminars and tech talks
Strong track record of interns returning for subsequent summers and future full-time employment

Fulltime

Senior/Staff Software Engineer, Runtime

Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual...

Location

United States , Santa Clara

Salary:

150000.00 - 225000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Minimum 5+ years of professional experience
MS or PhD in Computer Science or related field
Strong programming skills in C++ and Python
Basic understanding of computer vision and deep learning models
Hands-on experience of high performance IPC / middleware stack
Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)
Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models
Ability to quickly learn and adapt to new technology
Ability to work on large code bases and a fast growing environment
Strong communication skills

Job Responsibility

Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack
Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mind
Integrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform
Design and develop fault detection and fault handling strategies for redundant on-vehicle platform
Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing
Evaluate, integrate and optimize partner middleware into our AD stack
Owns or help with driverless operation key features, like mission control, tele assist, etc
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime