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Full Time Bioinformatics Machine Learning Jobs in Smithtown, NY

You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ... Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ...

You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ... Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ...

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and ... machine learning • Prior experience working in CLIA environment is a plus • Experience in ...

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... The US base salary range for this full-time position is $244,000 - 320,000 annually + equity ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Lead Machine Learning Engineer (IC)

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

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Showing results 1-20

Full Time Bioinformatics Machine Learning information

See Smithtown, NY salary details

$60.3K

$95.8K

$151.5K

How much do full time bioinformatics machine learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for full time bioinformatics machine learning in Smithtown, NY is $95,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $131,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Bioinformatics Machine Learning vs Full Time Data Scientist?

AspectFull Time Bioinformatics Machine LearningFull Time Data Scientist
Required CredentialsDegree in Bioinformatics, Computer Science, or related field; knowledge of biology and machine learningDegree in Data Science, Statistics, Computer Science, or related field; strong programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, consulting firms, various industries
Industry UsageBiotech, healthcare, genomicsFinance, marketing, tech, healthcare
Common Search/ComparisonYesYes

Full Time Bioinformatics Machine Learning roles focus on applying machine learning techniques to biological data, often within healthcare or biotech settings. Full Time Data Scientist positions are broader, covering various industries and data types. While both require programming and statistical skills, bioinformatics roles emphasize biological knowledge, whereas data science roles focus on diverse data applications across industries.

What are popular job titles related to Full Time Bioinformatics Machine Learning jobs in Smithtown, NY?

For Full Time Bioinformatics Machine Learning jobs in Smithtown, NY, the most frequently searched job titles are:

What cities near Smithtown, NY are hiring for Full Time Bioinformatics Machine Learning jobs?

Cities near Smithtown, NY with the most Full Time Bioinformatics Machine Learning job openings:

Infographic showing various Full Time Bioinformatics Machine Learning job openings in Smithtown, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $95,761 per year, or $46 per hour.

Machine Learning Engineer

New York, NY • On-site

Jane Street
Finance and Insurance • 1 - 5K employees

Full-time

Re-posted 20 days ago


Job description

About the Position

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you'd like to learn more, you can have a look at our Machine Learning page.

During the program, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.

The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including 1-2 dedicated to assessing ML engineering skills.

Learn more about Jane Street's internship program here.

About You

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We don't expect you to have a background in finance-we're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow 
  • A top-notch programmer with a love for technology
  • Intellectually curious, collaborative, and eager to learn
  • Humble and unafraid to ask questions and admit mistakes