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Urgently Hiring Machine Learning Engineer Biotech Jobs

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

  • Medical

  • Dental

  • Vision

  • PTO

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... Our end-to-end hiring process is designed to be thorough yet respectful of your time. From initial ...

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...

Machine Learning Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer

College Park, MD · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively. The core responsibility is to assist in the development, implementation ...

Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we ...

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

  • Medical

  • Dental

  • Vision

  • PTO

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Job Overview Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0245170 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

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Urgently Hiring Machine Learning Engineer Biotech information

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$19

$59

$81

How much do urgently hiring machine learning engineer biotech jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for urgently hiring machine learning engineer biotech in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.

What is the difference between Urgently Hiring Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectUrgently Hiring Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Stats, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/RAnalyzing data, creating reports, statistical modeling
Employer & Industry UsageTech-driven biotech firms, startups, R&D departmentsResearch institutions, biotech companies, analytics teams

Urgently Hiring Machine Learning Engineers focus on building and deploying ML models in biotech, while Data Scientists analyze data and generate insights. Both roles require similar educational backgrounds but differ in daily tasks and technical focus.

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Infographic showing various Urgently Hiring Machine Learning Engineer Biotech job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,952 per year, or $59.6 per hour.

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Re-posted 10 hours 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).