ZipRecruiter

Log In

2

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

Point72

NLP Engineer

New York, NY

... 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 ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...

Forhyre

Machine Learning Engineer

New York, NY

Deep knowledge of math, probability, statistics and algorithms * Ability to write robust code in ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

Amazon

Machine Learning Engineer, CreativeX

New York, NY · On-site

... computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers We automate the ...

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Tt

AI & Computer Vision Intern

New York, NY

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges ... We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

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 ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Byram, CT

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 May 31, 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
NLP Engineer

NLP Engineer

Point72

New York, NY

Other

Posted 12 days ago

Job description

DESCRIPTION

We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact.

RESPONSIBILITIES

  • Build start-of-the-art deep learning models to process large scale unstructured datasets.
  • Engage with vendors to understand characteristics of datasets.
  • Analyze datasets to generate descriptive statistics and propose potential applications of data.
  • Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
  • Research new technologies for efficient data management and data retrieval.

REQUIREMENTS

  • PhD or Master's degree in computer science, data science, statistics or other quantitative discipline. Bachelor's degree with extensive relevant work experience will also be considered.
  • At least 3 years of experience in NLP, computer vision, speech, or a related field.
  • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training.
  • Excellent coding skills in Python.
  • Programming skills in SQL.
  • Experience working with large data sets.
  • Strong oral and written communication skills.
  • Strong team player.
  • Financial industry experience preferred but not required.
  • Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred.
  • Commitment to the highest ethical standards.

Apply