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Contract Computer Vision Deep Learning Engineer Jobs in New Jersey

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

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Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. * 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing ...

Lead agile cross-functional teams (data scientists, engineers, SMEs) to deliver high-quality ... Strong foundation in AI/ML algorithms, deep learning, NLP, computer vision, and LLMs (e.g., GPT ...

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Contract Computer Vision Deep Learning Engineer information

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Senior AI Research Scientist

Senior AI Research Scientist

Strategic Employment

Kingston, NJ • On-site

$180K - $200K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

We are looking for a Senior AI Research Scientist to join our client's team. This role is ideal for someone with a strong foundation in deep reinforcement learning and a passion for applying cutting-edge research to real-world challenges in cancer surgery precision.

Key Requirements:

  • Master's Degree in AI, Machine Learning, Computer Vision, or a related field (a PhD. in one of those field is a major bonus)
  • Minimum 5 years of professional experience in medical imaging, AI, machine learning, or deep learning
  • Experience in Deep Reinforcement Learning (DRL) (experience in academic and/or internship settings will be considered)
  • Proficient in TensorFlow, PyTorch, and Keras
  • Strong communication skills in English

Compensation and Benefits:

  • Salary range: $180,000–$200,000
  • Performance-based bonus
  • 3% 401(k) annual contribution
  • Medical, dental, and vision insurance with 85% employer contribution
  • Paid time off
  • H-1B and Green Card sponsorships available
  • Relocation support provided if needed

Additional Info:

  • This is an on-site role, five days per week
  • Team culture is international and collaborative, with a focus on innovation and impact
  • Candidates must be comfortable working in a fast-paced, research-driven environment

Please note: This is not a data scientist position. We are specifically seeking candidates with a deep background in algorithm development and applied AI research.


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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