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Deep Machine Learning Engineer Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... TensorFlow • Deep understanding of machine learning fundamentals (gradient descent, cross ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML ...

Kindredventures

Machine Learning Engineer

Seattle, WA · On-site

$125 - $150/hr

You'll work closely with product, engineering and business leaders to make a difference with data ... Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning ...

New

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

Our team comprises a diverse range of backgrounds, including applied machine learning engineers ... PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product ...

Grid

Machine Learning Engineer

Seattle, WA

$120K - $140K/yr

You'll work closely with product, engineering and business leaders to make a difference with data ... Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning ...

Phase2 Technology

Machine Learning Engineer

Washington, DC · On-site

$125 - $150/hr

As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Grid

Machine Learning Engineer

Seattle, WA

$120K - $140K/yr

You'll work closely with product, engineering and business leaders to make a difference with data ... Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing ... Deep understanding and practical experience with various reinforcement learning algorithms and ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... Responsibilities : • Research, develop and deploy cutting-edge deep learning models, including ...

Cymertek Corporation

Machine Learning Engineer

Honolulu, HI · On-site

$150 - $200/hr

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

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Deep Machine Learning Engineer information

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$31.5K

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$193.5K

How much do deep machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for deep machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Deep Machine Learning Engineer jobs?

Cities with the most Deep Machine Learning Engineer job openings:

What states have the most Deep Machine Learning Engineer jobs?

States with the most job openings for Deep Machine Learning Engineer jobs include:

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For Deep Machine Learning Engineer jobs, the most frequently searched job titles are:

Machine Learning Engineer

Bodega Bay, CA • Remote

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

Contractor

Re-posted 25 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Title:  Machine Learning Engineer
Location:  South San Francisco, CA  - hybrid role in Bay Arear
Position Type:  Contract 
 

Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, 

Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3–5 yrs esp. or PhD with publications in molecular design.

Must have Masters or PH.D. Must have experience in working environment or while getting Master’s or no to very little work exp with PH.D  in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort. 
MindSource is looking for a Machine Learning Engineer to join our client's team in South San Francisco, CA.  They will be developing and deploying advanced computational methods for molecular design.  This is a 12-month hybrid contract.  

About the Role

  • Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning–driven drug discovery.
  • Engineer workflows for molecular generative modeling and other innovative design approaches.
  • Collaborate with machine learning scientists, engineers, computational chemists, and biologists.
  • Partner with therapeutic development teams to analyze existing molecules and design new candidates.
  • Contribute to ongoing initiatives while driving new research directions.

Qualifications

  • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics, or related quantitative field — OR MS + 3+ years of relevant industry experience.
  • Demonstrated expertise in production-ready ML workflows (e.g., PyTorch + Lightning + Weights & Biases).
  • Strong track record of achievement (e.g., high-impact first-author publication or equivalent).
  • Excellent written, visual, and verbal communication skills.

Preferred Experience

  • Knowledge of physical modeling (e.g., molecular dynamics) and cheminformatics (e.g., RDKit).
  • Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods.
  • Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch.
  • Public portfolio of computational projects (e.g., GitHub).