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Phd Machine Learning Engineer Jobs (NOW HIRING)

Point72

Machine Learning Engineer

New York, NY · On-site

PhD or PhD candidate in machine learning, computer science or other AI related research fields ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Point72

Machine Learning Engineer

New York, NY · On-site

PhD or PhD candidate in machine learning, computer science or other AI related research fields ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... MS. or PhD in Machine Learning, or related field * Extensive AWS or GCP experience putting scalable ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. Self-motivated with proven ability to effectively ...

Quantum Machines

Machine Learning Engineer

Requirements * PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information ... Solid software engineering fundamentals (architecture, Git workflows, testing, code review)

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... MS/PhD in CS or related technical field. * Familiarity with data processing stacks such as Spark ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Equivalent Master's or PhD research experience will be considered. * Demonstrated success designing ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

Our team comprises a diverse range of backgrounds, including applied machine learning engineers ... C/C++, Go, Python, Java Preferred Qualifications Masters or PhD in the area of Computer Science or ...

Tapestry

Machine Learning Engineer

Mountain View, CA

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Minimum Qualifications A PhD in computer science, computer engineering, or relevant Fields.

Jane Street

Machine Learning Engineer

New York, NY

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

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Phd Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Sep 10, 2026, the average yearly pay for phd 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.

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

Infographic showing various Phd Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

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 26 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).