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Machine Learning Object Detection Jobs in Santa Clara, CA

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong ...

Wing

Machine Learning Engineer, Perception

Palo Alto, CA · On-site

$190K - $202K/yr

Wing is looking for a Machine Learning Engineer to join our Perception team . This role is hybrid ... Object detection, localization, Semantic Segmentation. * Local and global image features * Vision ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

... detection, object tracking, video-understanding and vision language models * Strong software ... Specialization in CV, artificial intelligence, machine learning, or related fields * Significant ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

... detection, object tracking, video-understanding and vision language models * Strong software ... Specialization in CV, artificial intelligence, machine learning, or related fields * Significant ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

... detection, object tracking, video-understanding and vision language models * Strong software ... Specialization in CV, artificial intelligence, machine learning, or related fields * Significant ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Develop and optimize deep learning models for depth estimation, object detection, segmentation ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

You will work across the full machine learning lifecycle-model development, data strategy ... Develop and optimize deep learning models for depth estimation, object detection, segmentation ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Deep understanding of machine learning principles and methodologies * Experience with implementing ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA

$19 - $65/hr

Deep understanding of machine learning principles and methodologies * Experience with implementing ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

Qualcomm

Sr. AI Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Responsibilities : • Build and train machine learning and deep learning models using structured and unstructured datasets. • Fine-tune pre-trained models (e.g., object detection, classification ...

Tata Consultancy Services

AI Researcher

Santa Clara, CA · On-site

... vision, deep learning, and autonomous systems. * Work on topics such as object detection, pose ... Strong academic foundation in machine learning, image processing, linear algebra, and probability.

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Santa Clara, CA

Machine Learning Object Detection information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

How much do machine learning object detection jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning object detection in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Santa Clara, CA? For Machine Learning Object Detection jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Santa Clara, CA look for? The top searched job categories for Machine Learning Object Detection jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Machine Learning Object Detection jobs? Cities near Santa Clara, CA with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $151,231 per year, or $72.7 per hour.

Computer Vision Engineer - Autonomy & Perception

Pivotal

Palo Alto, CA • On-site

$131K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market. 
 
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026. 
 
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.

The Autonomy team at Pivotal develops advanced autonomy capabilities for our aircraft, enabling safe, precise, and reliable mission execution from takeoff to landing. We are seeking a Computer Vision Engineer to support the development of next-generation perception systems for our autonomous aerial platforms, including the Helix family of systems. 

In this role, you will collaborate with autonomy, guidance, navigation and control (GNC), flight software, and AI engineers to design, implement, and deploy computer vision algorithms that operate effectively in dynamic, real-world environments. You will work across object detection, tracking, visual localization, scene understanding, sensor fusion, and perception-driven autonomy to enable robust autonomous operations in challenging mission scenarios. 

The ideal candidate combines strong computer vision fundamentals with practical experience deploying perception systems on robotic or autonomous platforms. You will play a key role in developing vision capabilities that support navigation, obstacle avoidance, target tracking, and mission autonomy while contributing to the broader autonomy stack deployed on operational aircraft. 

Responsibilities

  • Perception & Computer Vision: Design and develop perception systems for autonomous aerial platforms operating in GPS-denied and contested environments; implement object detection, classification, segmentation, and tracking algorithms using RGB, thermal, and multimodal sensor data; develop visual perception pipelines for obstacle detection, collision avoidance, and situational awareness; build scene understanding capabilities to support autonomous navigation and mission execution; evaluate and integrate state-of-the-art computer vision and AI techniques into operational systems. 

  • Visual Navigation & Localization: Develop visual-inertial odometry, localization, and mapping algorithms; implement vision-based navigation solutions for degraded and GPS-denied environments; support SLAM and feature-based localization systems; design robust estimation methods that fuse camera, IMU, GPS, lidar, and radar data; improve navigation performance through sensor fusion and environmental awareness. 

  • Machine Learning & AI: Develop, train, and deploy deep learning models for onboard perception; create data processing, labeling, augmentation, and evaluation pipelines; optimize neural networks for real-time inference on embedded computing platforms; analyze model performance and improve robustness across operational conditions; support deployment of perception models on edge AI hardware. 

  • Camera Systems & Sensor Integration: Integrate and evaluate diverse imaging systems including RGB, stereo, fisheye, thermal, and event-based cameras; develop camera calibration workflows and sensor characterization procedures; support multi-camera synchronization and calibration efforts; improve image quality, calibration accuracy, and perception system reliability; collaborate with hardware teams to evaluate and integrate emerging sensor technologies. 

  • Testing & Validation: Develop simulation and testing frameworks for perception algorithms; support software-in-the-loop, hardware-in-the-loop, and flight testing activities; analyze flight data to identify performance gaps and improve perception robustness; establish metrics and validation procedures for autonomous perception systems; document system performance and support field deployments. 

Qualifications

  • Education: Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related technical field. 

  • Experience: 2-4 years of industry experience in computer vision, robotics, machine learning, or autonomous systems OR Master's degree with 1-2 years of industry experience. 

  • Strong proficiency in C++, Python, or Rust. 

  • Experience with OpenCV and modern computer vision frameworks. 

  • Experience developing perception systems using PyTorch, TensorFlow, or similar machine learning frameworks. 

  • Strong understanding of image processing, geometric vision, and camera systems. 

  • Experience with object detection, tracking, segmentation, and machine learning-based perception algorithms. 

  • Familiarity with sensor fusion and state estimation techniques. 

  • Experience with ROS/ROS2 or similar robotics middleware. 

  • Experience developing software in Linux environments. 

Preferred Qualifications
  • Master's or PhD in Computer Vision, Robotics, Machine Learning, Computer Science, or a related field. 
  • Experience with autonomous aircraft, UAVs, robotics, or aerospace systems. 
  • Experience with visual SLAM, visual-inertial odometry, or localization systems. 
  • Knowledge of camera calibration, multi-camera systems, and geometric computer vision. 
  • Experience integrating lidar, radar, thermal cameras, and inertial sensors into perception systems. 
  • Experience deploying AI models on embedded platforms such as NVIDIA Jetson or similar edge computing hardware. 
  • Familiarity with simulation environments such as Gazebo, Isaac Sim, AirSim, or equivalent. 
  • Experience optimizing perception systems for real-time performance and resource-constrained platforms. 
  • Contributions to open-source robotics, autonomy, or computer vision projects. 
  • Familiarity with defense industry standards and security clearance processes. 
Attributes aligned with Core Values
  • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment.
  • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose.
  • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication-committing to shared decisions for the greater good.
  • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level.
  • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.
  • Fosters a high-performance culture grounded in respect, professionalism, and support-balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.
$157,000 - $182,000 a year
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
 
Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
 
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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