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Machine Learning Researcher Jobs in Louisiana (NOW HIRING)

Chevron

2026-2027 Earth Scientist Full Time

Covington, LA · On-site

$108K - $140K/yr

Participation in an energy industry or sponsored university research project. * Practical experience with geoscience coding, data science, and/or machine learning. Compensation & Benefits The ...

Textron

Robotics Engineer II

New Orleans, LA · On-site

Research and Innovation: Stay updated with the latest advancements in automation and artificial ... Familiarity with machine learning and artificial intelligence technologies. * Strong problem ...

Textron

Robotics Engineer II

New Orleans, LA · On-site

Research and Innovation: Stay updated with the latest advancements in automation and artificial ... Familiarity with machine learning and artificial intelligence technologies. * Strong problem ...

Textron

Robotics Engineer II

New Orleans, LA · On-site

Research and Innovation: Stay updated with the latest advancements in automation and artificial ... Familiarity with machine learning and artificial intelligence technologies. * Strong problem ...

Deloitte

Kinaxis Manager

New Orleans, LA · On-site

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... Bachelor's Degree in Operations Research, Industrial Engineering, Engineering Management, Business ...

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Showing results 41-60

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Louisiana

Machine Learning Researcher information

See Louisiana salary details

$25.7K

$96.7K

$140.7K

How much do machine learning researcher jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning researcher in Louisiana is $96,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $131,700.00 per year, depending on experience, location, and employer.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are the most commonly searched types of Machine Learning Researcher jobs in Louisiana?

The most popular types of Machine Learning Researcher jobs in Louisiana are:

What are popular job titles related to Machine Learning Researcher jobs in Louisiana?

For Machine Learning Researcher jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Machine Learning Researcher jobs in Louisiana look for?

The top searched job categories for Machine Learning Researcher jobs in Louisiana are:

What cities in Louisiana are hiring for Machine Learning Researcher jobs?

Cities in Louisiana with the most Machine Learning Researcher job openings:

Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,716 per year, or $46.5 per hour.

Assistant Professor of Finance

Jacobs Levy Equity Management

New Orleans, LA • On-site

$70 - $105/hr

Other

Posted 4 days ago

Job description

The College of Business at Loyola University New Orleans invites applications for a full-time, tenure-track Assistant Professor in Finance beginning Fall 2027.

The ideal candidate will have a robust background in finance, with demonstrated expertise in areas such as corporate finance, investments and financial analytics. Candidates should exhibit a commitment to innovative, engaged teaching at both undergraduate and graduate levels, and a desire to stay at the forefront of emerging trends in finance and technology. Candidates must possess a strong research agenda aimed at publishing in ranked academic journals.

The successful applicant will be expected to teach undergraduate and graduate finance courses, with possible courses including:

  • -Financial Management
  • -Investment Management
  • -Financial Statement Analytics
  • -International Finance
  • -Fintech and Emerging Financial Technologies

Additional opportunities for future course development may include contributing to evolving areas such as:

  • -AI Applications in Finance
  • -Data Analytics and Visualization for Financial Decision-Making
  • -ESG (Environmental, Social, and Governance) Investing
  • -Quantitative Finance and Risk Analysis
  • -Advanced Financial Modeling

All tenure-track faculty positions at Loyola University New Orleans require a 3-3 teaching load, continuous scholarly activity, student advising and service to institutional committees. Candidates in their first faculty appointment after completing their PhD are eligible for a reduction in teaching load during the first year to support research activities.

We seek candidates who are ready to be active members of a forward-thinking academic community and who have the following qualifications:

  • -Ph.D. in Finance or a closely related field (ABD candidates will be considered if the degree is completed by the start date)
  • -Strong teaching skills with a commitment to fostering an engaging learning environment for diverse students, including first-generation college students
  • -Experience or willingness to integrate new technologies such as artificial intelligence, machine learning, or blockchain in finance
  • -Familiarity with financial software and tools, including programming languages (Python, R), financial modeling software, or other data analytics platforms
  • -Familiarity with the Jesuit educational model and a demonstrated ability to engage students from diverse backgrounds, including first-generation students

Loyola University New Orleans is a selective Jesuit university that has won many awards and recognitions for the high quality of its academic programs. Based on over 500 years of education experience, Loyola is founded on an Ignatian tradition of spirituality and ethics. Loyola offers a transformative Jesuit education in the most unique city in America.

Consistent with our mission, we welcome candidates who demonstrate a strong commitment to fostering inclusion and equity in a culturally diverse environment.

The beautiful campus is located across from Audubon Park in a scenic Uptown New Orleans neighborhood, near some of the world’s best music venues and restaurants.

  • Loyola provides benefits including 100% tuition remission for spouses and children.

The Joseph A. Butt, S.J., College of Business currently enrolls almost 600 undergraduate students in degree programs leading to majors in accounting, analytics, economics, finance, management, marketing, and international business. Approximately 150 students are enrolled in graduate programs. Recently, the College launched a new undergraduate program in Entrepreneurship and graduate programs in Marketing & Communication and Healthcare Management. Our undergraduate (International Business) and graduate (Entrepreneurship) programs are ranked in the top 25 by US News & World Report. The College requires all undergraduate students to complete internships and provides career preparation through its Portfolio Program. Undergraduate programs have been continuously accredited by AACSB since 1950, and graduate programs since 1974. The small size (35 faculty and 10 staff) and collegial nature of the College afford a pleasant and productive working environment.

The ideal candidate will have a robust background in finance, with demonstrated expertise in areas such as corporate finance, investments and financial analytics. Candidates should exhibit a commitment to innovative, engaged teaching at both undergraduate and graduate levels, and a desire to stay at the forefront of emerging trends in finance and technology. Candidates must possess a strong research agenda aimed at publishing in ranked academic journals.

We seek candidates who are ready to be active members of a forward-thinking academic community and who have the following qualifications:

  • -Ph.D. in Finance or a closely related field (ABD candidates will be considered if the degree is completed by the start date)
  • -Strong teaching skills with a commitment to fostering an engaging learning environment for diverse students, including first-generation college students
  • -Experience or willingness to integrate new technologies such as artificial intelligence, machine learning, or blockchain in finance
  • -Familiarity with financial software and tools, including programming languages (Python, R), financial modeling software, or other data analytics platforms
  • -Familiarity with the Jesuit educational model and a demonstrated ability to engage students from diverse backgrounds, including first-generation students
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