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Machine Learning Object Detection Jobs (NOW HIRING)

InterSources

Azure ML/AI Architect

Santa Clara, CA · On-site

$74 - $96.50/hr

LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. * Work with business users to translate functional requirements into data specifications

CoVar

Machine Learning Engineer

Durham, NC

Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g ... Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques • Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git;

Samprasoft

Machine Learning Engineer

Mclean, VA · On-site

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... object detection, image generation), machine translation, language modeling, rankings and ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Work on object detection, tracking, prediction, planning, control, online mapping, and more. * Manage the full life cycle of machine learning projects, including data analysis and model verification.

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking ... Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking ... Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual ...

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Machine Learning Object Detection information

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$31.5K

$128.8K

$193.5K

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

As of Jun 3, 2026, the average yearly pay for machine learning object detection in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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.
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Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Azure ML/AI Architect

Azure ML/AI Architect

InterSources

Santa Clara, CA • On-site

$74 - $96.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hi,
Please provide me suitable resumes for below position.
Title: Azure ML Architect with experience on Data Bricks Development platform
Location: Santa Clara, CA - onsite
Duration: Long term
Need Data science candidate with Data bricks and azure
Prior Experience

  • Hands on experience on working in Azure cloud platform
  • Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.
  • Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
  • Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
  • Good to have Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
  • Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks
  • Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services
  • Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
  • Well-versed in software development and code quality best industry practices.
  • Experience working with Agile Development methodologies.
Responsibilities:
  • Primary responsibility is to Architect, design and develop AI application on Azure cloud and Databricks.
  • Lead the azure cloud architecture design for various applications depending on business requirements
  • Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
  • Work with business users to translate functional requirements into data specifications
  • Collaborate with data scientists and business users to transform domain know-how into functional requirements.
  • Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
  • Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.
Collaboration and Communication:
  • Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers and project managers.
  • Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.
Requirements:
  • B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
  • 4-6 years of IT experience with a min of 3+ years in Azure Data Bricks for development and Azure Services.
  • Strong Expertise in the Azure cloud solutions.
  • Strong programming skills in Python.
  • Familiarity with statistical, ML and DL techniques and models
  • Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
  • Experience with ML / DL frameworks (e.g., Sklearn, TensorFlow, PyTorch) is needed.
  • Experience with large-scale data processing, including data collection, cleaning, and preprocessing.
  • Proficiency in working with UNIX/Linux environments and command-line tools.
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills, interpersonal, written, visual (presentations), and verbal.

Certifications
Databricks - Machine learning professional (highly preferred)
About Us:
InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
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About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

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