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

Conduct innovative research on deep learning for price forecasting * Build scalable and robust ... Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ...

We are building an AI-driven simulation software stack for engineering and manufacturing across ... deep learning or other 3D computer vision methods for point-cloud or mesh-structured data ...

Familiarity with deep learning frameworks like TensorFlow or PyTorch. * Prior experience with data analysis and visualization tools. * Knowledge of natural language processing and computer vision is ...

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

... deep learning. * Proficiency in data manipulation, feature engineering, and model evaluation ... Comprehensive Medical, Dental, and Vision insurance options * 401(K) plan with matching * Dog ...

Conduct innovative research on deep learning for price forecasting * Build scalable and robust ... Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ...

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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 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.

Machine Learning Research Engineer

Optiver

New York, NY

$224.30K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.  This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

What you'll do:

  • Conduct innovative research on deep learning for price forecasting 
  • Build scalable and robust training and inference pipelines for deep learning
  • Dive into internals of open-source deep learning frameworks and enhance their functionality
  • Collaborate closely with researchers and other engineers
  • Develop an in-depth understanding of trading systems

What you'll get:

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you'll receive:

  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • A highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are: 

  • PhD or equivalent industry experience in a field related to machine learning
  • Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow
  • Experience in programming in Python
  • Experience in computationally intensive research on very large data sets

Nice to have:

  • Experience with JAX ecosystem (XLA, Flax, etc.)
  • Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)
  • Contributions to open-source projects related to data science and machine learning
  • Strong publication record at conferences like NeurIPS, ICML, etc.
  • Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Experience with large-scale distributed training
  • Experience in programming in C++

Who we are:

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

ical or mental disability, or other legally protected characteristics.