CVPR 2026 Career Opportunities

Location: Mountain View, CA

We’re searching for a Software Engineer II for the calibration team. The calibration team is responsible for ensuring all sensors on all vehicles remain well aligned to support higher-level autonomy functions. Our software ranges from low-level intrinsics models for our in-house FMCW lidar to high-level continuous/online calibration.

In this role, you will:

-Develop efficient algorithms to process sensor data in real-time. -End to end ownership including design, implementation, testing, deployment and maintenance of online calibration software for the vehicles.
-Collaborate across multidisciplinary teams such as software, hardware, manufacturing, and operations.

Required Qualifications

-4+ years of professional experience building software for safety critical applications.
-Proficiency in modern C++ (17+), with a focus on high-performance, production quality engineering.

Desirable Qualifications

-Experience in sensor calibration for cameras, lidars, radars, and/or IMUs. -Prior experience within robotics or autonomous vehicle domains. -Experience with Eigen or other linear algebra libraries. -Experience with Ceres or G2O or other optimization libraries.

Sunnyvale, CA

About the Role As a Lead Data Annotation Business Analyst at Matterport, a part of CoStar Group, you will be pivotal in building the foundation for our AI and computer vision models. This is a strategic role that goes far beyond traditional business analysis—you will manage the entire lifecycle of data annotation projects, ensuring that our models are trained on high-quality, well-structured datasets that reflect real-world complexity.

You will collaborate with product managers and ML engineers to define ontology requirements, design annotation workflows, and manage internal and external annotation teams. From sampling data and creating annotation guidelines to reviewing outputs and integrating results into production pipelines, you will be the driving force behind the quality and scalability of our training data.

This role offers significant development potential: you will influence Matterport’s data strategy and have the opportunity to evolve into a leadership position overseeing global data operations and annotation strategy.

What You Will Do - Own the Data Annotation Lifecycle: Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. - Define Ontologies and Standards: Work with product and engineering teams to translate model requirements into clear, scalable annotation schemas. - Design and Launch Annotation Projects: Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. - Vendor and Team Management: Coordinate with external providers and internal teams to ensure timely, accurate, and cost-effective project execution. - Integrate and Validate Outputs: Collaborate with ML engineers to ingest annotated data, review results, and iterate for continuous improvement. - Optimize Processes: Develop workflows, tools, and best practices for annotation at scale, leveraging automation where possible. - Drive Strategic Impact: Influence Matterport’s data strategy and contribute to building world-class AI models for spatial computing.

Basic Qualifications - Bachelor's degree required from an accredited, not-for-profit, in-person college/university - A track record of commitment to prior employers. - 3+ years of experience in data operations, annotation management, or business analysis in a technical environment. - Strong understanding of data structures, ontologies, and annotation workflows. - Excellent organizational and project management skills with attention to detail. - Familiarity with ML concepts and data requirements for model training. - Experience working with external vendors and managing cross-functional teams. - Proficiency in tools like Excel, SQL, and project management platforms.

Preferred Qualifications - Experience in computer vision or ML-driven products. - Knowledge of annotation tools and platforms (e.g., Dataloop, Hasty, Scale.ai, Deeplake). - Familiarity with workflow orchestration and automation tools. - Strong analytical skills and ability to translate technical requirements into operational plans. - Demonstrated ability to scale processes and manage multiple projects simultaneously.

Shape the Future of Visual Intelligence

Are you passionate about pushing the boundaries of computer vision and shaping the future of visual intelligence? Join Amazon and embark on an exciting journey where you'll develop cutting-edge algorithms and models that power our groundbreaking computer vision services, including Amazon Rekognition, Amazon Go, Visual Search, and more!

At Amazon, we're combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement to solve real-world problems at an unprecedented scale. As an intern, you'll have the opportunity to build innovative solutions where visual input helps customers shop, anticipate technological advances, work with leading-edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers worldwide.

Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.

Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Amazon has positions available for Computer Vision Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA; Bellevue, WA; Santa Clara, CA; Sunnyvale, CA.

Key job responsibilities We are particularly interested in candidates with expertise in: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, Robotics

In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas of visual intelligence. You will tackle challenging, groundbreaking research problems to help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers.

The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.

A day in the life - Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting edge computer vision solutions into production. - Dive into complex challenges, leveraging your expertise in areas such as Vision-Language Models, Object Recognition/Detection, Large Language Models (LLMs), Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, and Robotics. - Contribute to technical white papers, create technical roadmaps, and drive production-level projects that will support Amazon Science. - Embrace ambiguity, strong attention to detail, and a fast-paced, ever-changing environment as you own the design and development of end-to-end systems. - Engage in knowledge-sharing, mentorship, and career-advancing resources to grow as a well-rounded professional.

Please click on the link for full job description

What You'll Do

• Build distributed data loaders to support large-scale training workflows
• Develop data pipelines for ingesting, transforming, and preparing multimodal datasets
• Design batch inference systems for high-volume data processing across GPU environments
• Improve system performance, scalability, and reliability using distributed computing tools (e.g., Ray, Spark, DuckDB)
• Implement search and retrieval systems using vector databases and embedding-based approaches
• Develop and maintain CI/CD workflows, including testing, deployment, and containerization
• Partner with researchers and engineers to turn model requirements into scalable systems
• Create reusable tools, libraries, and documentation to support teams across the organization
• Monitor and improve system health, including throughput, latency, and resource utilization
• Support a collaborative team environment through code reviews and knowledge sharing

What You Bring

• 8+ years of experience building and operating distributed systems or ML infrastructure in production
• Experience working with large-scale data pipelines or inference systems
• Strong programming skills in Python and a foundation in software engineering principles
• Experience with ML frameworks such as PyTorch or TensorFlow
• Familiarity with distributed computing tools (e.g., Ray, Spark, Dask, or similar)
• Experience working with cloud platforms such as AWS or Azure
• Understanding of MLOps practices, including CI/CD and deployment workflows
• Ability to communicate clearly and collaborate with cross-functional teams

Education

• Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience)

Nice to Have

• Experience working with multimodal data (images, video, text)
• Familiarity with vector databases or semantic search systems

Pittsburgh

We are seeking a full-time Research Associate in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing.

A postdoctoral fellow position is available in Harvard AI and Robotics Lab (https://wang.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://wang.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear at Harvard Medical School. Dr. Mengyu Wang is Director of Harvard AI and Robotics Lab, and an Affiliate Faculty of Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, Harvard Data Science Initiative, Broad Institute of MIT and Harvard.

The full job description can be found here: https://wang.hms.harvard.edu/news/postdoctoral-fellow-opening-in-artificial-intelligence-and-robotics-in-2026-summer/

Novi Sad, Serbia. We will cover the relocations costs and visa requirements

Our team is global, addressing the challenges of bringing safe ADAS and autonomous automotive systems to market for our customers.

We are seeking a visionary Senior Computer Vision & AI Engineer to bridge the gap between traditional perception and the next generation of autonomous intelligence. In this role, you will lead the development of high-performance ML models—ranging from core ADAS detection tasks to sophisticated Visual Language Models (VLMs). You will play a pivotal role in evolving our autonomous driving stack, turning complex camera data into actionable intelligence that ensures safety and innovation on the road. 

Responsibilities - Design and implement machine learning algorithms for object detection, tracking, and classification using camera data - Develop and optimize computer vision algorithms for tasks such as lane detection, traffic sign recognition, and pedestrian detection - Work closely with cross-functional teams to integrate machine learning models into existing systems - Stay up-to-date on the latest advancements in machine learning and computer vision and apply them to real-world problems - Analyze and improve the performance of existing machine learning models - Contribute to the development of innovative camera vision solutions for advanced driver assistance systems (ADAS) and autonomous driving - Design and build Visual Language Models

⠀Must Have - Ph.D. in Computer Science, Machine Learning, or a related field - Strong understanding of machine learning algorithms, including deep learning and convolutional neural networks - Extensive experience in computer vision, image processing, and object recognition - Proficiency in programming languages such as Python and C++ - Experience with deep learning frameworks such as TensorFlow or PyTorch - Strong problem-solving and analytical skills - Ability to work independently and as part of a team

⠀Nice to have - Familiarity with automotive-grade standards and safety-critical applications is a plus

What We Offer Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more

Location New York City

Description About Ideogram Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.

We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.

Explore Ideogram 3.0, Character and Custom Models blog posts, and try Ideogram at ideogram.ai.

The Opportunity In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.

What We're Looking For 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow. Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch. Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning. End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI. Ability to debug machine learning models to iteratively improve model quality and performance. Nice to have: Familiarity with kubernetes and docker. Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

[Software Engineer, II - Simulation Infrastructure]

Job ID: R-102503
Location: [Ann Arbor, MI]
Apply: View and apply through Torc Careers

Meet the Team

The Simulation Environments team develops and integrates simulation tools that serve an expansive set of autonomy capabilities. We deliver robust, resilient, and scalable cloud-based simulation solutions using modern managed cloud services to support a wide range of internal customers across autonomous and perception engineering domains.

What You’ll Do

As part of the Simulation team, you will design, implement, maintain, and monitor cloud-based simulation services that support virtual driver-stack testing and large-scale simulation workloads. You will contribute across the full software development lifecycle, from design and algorithm development to testing, deployment, and ongoing maintenance.

• Execute full software development lifecycle activities using Python and C++ in a Linux environment, following Lean-Agile methodologies.
• Design, implement, and maintain scalable cloud systems using AWS managed services with a focus on scalability, reliability, observability, and operational excellence.
• Develop and provision cloud infrastructure using infrastructure-as-code frameworks such as Terraform.
• Perform software design, architecture documentation, algorithm development, and implementation, producing clear, maintainable, and well-tested code.
• Ensure high-quality software delivery by following established quality, build, deployment, and testing processes, including safety and engineering guidelines.
• Support vehicle testing, simulation workflows, and deployed-software maintenance across Autonomous and Perception engineering use cases.
• Investigate and perform root cause analysis for issues found during simulation runs, testing workflows, and automation pipelines.
• Contribute to process automation, including CI/CD, simulation execution workflows, data handling pipelines, and containerization improvements.
• Maintain a strong commitment to automated testing, using simulation scenarios and test frameworks to ensure updates do not regress performance.
• Participate in team standups, providing updates on daily assignments and supporting effective iteration planning.
• Take ownership and drive end-to-end efforts independently, demonstrating initiative and accountability.
• Participate in an on-call rotation, typically one week per team member, to support production systems and ensure operational readiness.
• Collaborate effectively in a cross-functional environment, clearly communicating progress, expectations, risks, and support needs.
• Demonstrate a self-starter mindset and a proactive, go-getter attitude, driving work forward with minimal direction.

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with 5+ years of experience, or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with 3+ years of experience.
• Experience designing managed cloud services, preferably AWS.
• Strong proficiency in Python, with solid software engineering fundamentals.
• Proficiency in Linux, Bash, or other scripting languages.
• Experience with Terraform or other infrastructure-as-code frameworks.
• Strong background in modern software workflows, including CI/CD, testing, infrastructure as code, containerization, and version control.
• Excellent analytical, debugging, and problem-solving skills.

Bonus Points

• Experience in autonomous vehicles, robotics, or simulation systems.
• Experience with C++ in production environments.
• Experience with Bazel build systems.
• Familiarity with ROS, Robot Operating System.
• Knowledge of robotics algorithms and applications.

US Pay Range: $139,000 - $166,800 USD

Junior Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.

What You'll Do:

Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

Experience with embedded systems and integrating computer vision algorithms into hardware.

Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

Competitive salary

ACS Equity Package

Health, Dental, Vision Insurance

Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.