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Entry Level Computer Vision Deep Learning Engineer Jobs in Byram, CT

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Kitware

Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Seven Research

Deep Learning Researcher

New York, NY

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Point72

Machine Learning Engineer

New York, NY · On-site

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Experience with deep neural networks and representation learning * Prior experience working in a ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs ... We have developed a deep understanding in extracting useful, actionable information from multiple ...

Point72

Machine Learning Engineer

New York, NY · On-site

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Experience with deep neural networks and representation learning * Prior experience working in a ...

Kitware

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

Required : • PhD or PhD candidate in machine learning, computer science or other AI related ... deep learning • Experience with deep neural networks and representation learning • Prior ...

Point72

NLP Engineer

New York, NY · On-site

... NLP, computer vision, speech, or a related field. * Extensive experience with deep learning ... Programming skills in SQL. * Experience working with large data sets. * Strong oral and written ...

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Entry Level Computer Vision Deep Learning Engineer information

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$152.7K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Byram, CT is $134,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $146,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.
Entry Level Computer Vision Deep Learning Engineer jobs near you

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark

New York, NY • On-site

$122K - $143.90K/yr

Full-time

Posted 7 days ago

Job description

About Us
ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.
Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here. Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.
What You'll Do
We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, deep learning, and deep learning, with experience in the defense sector.
  • Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
  • Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
  • Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
  • Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
  • Analyze and interpret complex data sets to improve detection and tracking accuracy.
  • Help ensure compliance with industry standards and regulatory requirements in all developed solutions.

What You'll Need
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
  • Minimum of 2 years of experience in computer vision and object detection.
  • Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
  • Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
  • In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
  • Excellent problem-solving skills, with the ability to think critically and innovate.
  • Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a team-oriented, collaborative environment.

Bonus Points
  • Experience with drone technology and UAV systems.
  • Knowledge of radar, LIDAR, and other sensing technologies.
  • Experience in 3d perception or similar fields.
  • Familiarity with cloud computing platforms and edge computing.

What We Offer
  • Competitive salary, equity, and benefits package.
  • Opportunity to work on cutting-edge technology with a significant impact on national security.
  • A collaborative work environment that values innovation.
  • Professional development opportunities and career growth.

Apply