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

PhysicsX

Machine Learning Engineer

New York, NY · On-site

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

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Entry Level Computer Vision Deep Learning Engineer information

See Byram, CT salary details

$53.9K

$135K

$152.7K

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

As of Sep 10, 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 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.

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 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.
Entry Level Computer Vision Deep Learning Engineer jobs near you

Research Scientist Intern PhD, Applied Research

Manhattan, NY • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

Other

Posted 23 days ago

Key responsibilities

  • Develop novel state-of-the-art generative AI algorithms and systems using deep learning techniques

  • Analyze and improve the safety and robustness of deployed algorithms based on the project

  • Collaborate with researchers and cross-functional partners to communicate research plans, progress, and results

Job description

Research Scientist Intern PhD, Applied Research

Meta |

Meta | Posted Mar 9

Full-time

New York

Unknown

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities
  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
  • Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research results
  • Publish research results and contribute to research that can be applied to Meta product development
Minimum Qualifications
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications
  • Intent to return to the degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience working and communicating cross functionally in a team environment
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyzing their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience with explainable AI methods and topics around LLM safety alignment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affiantive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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