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Machine Learning Researcher Jobs in Miami, FL (NOW HIRING)

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Stayup-to-date with the latest AI/ML research, tools, and frameworks * Documentsolutions and provide technical guidance to stakeholders Qualifications * 2-5+ yearsexperience in AI, machine learning ...

Rempli

AI / ML Engineer

Miami, FL

... AI/ML research, tools, and frameworks * Document solutions and provide technical guidance to stakeholders Qualifications: * 2-5+ years experience in AI, machine learning, or data science roles

The Voleon Group

Executive Assistant

Miami, FL

$7K/mo

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people ...

The Voleon Group

Executive Assistant

Miami, FL · On-site

$80K - $90K/yr

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people ...

The University of Miami

Post Doctoral Associate

Miami, FL · On-site

$46K - $63K/yr

The Center for Digital Cardiovascular Innovations at Miller School of Medicine invites applications for a Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific ...

University of Miami

Post Doctoral Associate

Miami, FL

$46K - $63K/yr

The Center for Digital Cardiovascular Innovations at Miller School of Medicine invites applications for a Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific ...

Thurn Partners

Alternative Data Scientist

Miami, FL · On-site +1

Build statistical and machine learning models to transform raw alternative data into usable ... quantitative researchers and key stakeholders, influencing research and trading priorities ...

Varsity Tutors

Statistics Graduate Level Tutor

Doral, FL · Remote

$40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Statistics Graduate Level Tutor

Miami, FL · Remote

$40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Showing results 1-20

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Miami, FL

Machine Learning Researcher information

See Miami, FL salary details

$28.7K

$108.2K

$157.3K

How much do machine learning researcher jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning researcher in Miami, FL is $108,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $147,300.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

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 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 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 most commonly searched types of Machine Learning Researcher jobs in Miami, FL? The most popular types of Machine Learning Researcher jobs in Miami, FL are:
What are popular job titles related to Machine Learning Researcher jobs in Miami, FL? For Machine Learning Researcher jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Miami, FL look for? The top searched job categories for Machine Learning Researcher jobs in Miami, FL are:
What cities near Miami, FL are hiring for Machine Learning Researcher jobs? Cities near Miami, FL with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Miami, FL as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,176 per year, or $52 per hour.
Senior Analyst, Research & Data Scientist

Senior Analyst, Research & Data Scientist

Independent Living Systems

Miami, FL • On-site

$110K - $111K/yr

Full-time

Posted 17 hours ago

Independent Living Systems rating

6.5

Company rating: 6.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

We are seeking a Senior Analyst, Research & Data Scientist to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.

About the Role:

The Senior Analyst, Research & Data Scientist plays a critical role in advancing healthcare outcomes by leveraging data-driven insights and rigorous research methodologies. This position is responsible for designing, conducting, and interpreting complex analyses that inform strategic decisions and policy development within the health care and social assistance sector. The role requires synthesizing large datasets from diverse sources to identify trends, evaluate program effectiveness, and support evidence-based interventions. Collaboration with cross-functional teams, including clinical experts, policy makers, and IT professionals, is essential to translate analytical findings into actionable recommendations. Ultimately, this position drives innovation and continuous improvement in healthcare delivery through sophisticated data science techniques and research excellence.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Computer Science, or a related field.
  • At least 5 years of professional experience in data analysis, research, or data science within the healthcare or social assistance industry.
  • Proficiency in statistical programming languages such as R, Python, or SAS.
  • Strong experience with data visualization tools like Tableau, Power BI, or equivalent.
  • Demonstrated ability to manage and analyze large healthcare datasets and apply advanced analytical techniques.
  • Strong experience with SQL and working with relational databases.
  • Demonstrated ability to develop and apply statistical and machine learning models.
  • Relevant experience may substitute for the educational requirement on a year-for-year basis.

Preferred Qualifications:

  • Master’s degree or higher in a relevant discipline such as Biostatistics, Health Informatics, or Data Science.
  • Experience with machine learning frameworks and big data technologies (e.g., TensorFlow, Spark).
  • Familiarity with healthcare regulations and standards including HIPAA and data governance best practices.
  • Prior experience working in interdisciplinary teams within healthcare settings.
  • Publication record or contributions to peer-reviewed research in healthcare analytics or related fields.

Responsibilities:

  • Develop and implement advanced statistical models and machine learning algorithms to analyze healthcare data and generate predictive insights.
  • Design and conduct quantitative and qualitative research studies to evaluate health programs, policies, and interventions.
  • Collaborate with stakeholders to define research questions, data requirements, and project objectives aligned with organizational goals.
  • Prepare comprehensive reports, visualizations, and presentations to communicate findings clearly to both technical and non-technical audiences.
  • Ensure data quality, integrity, and compliance with privacy regulations while managing large and complex datasets.
  • Stay current with emerging trends and best practices in data science, healthcare analytics, and research methodologies.
  • Mentor junior analysts and contribute to the development of data science capabilities within the team.