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Senior Machine Learning Researcher Jobs in Miami, FL

Applied machine learning research * Model evaluation and post-training optimisation * Distributed systems and AI infrastructure You'll tackle challenging mathematical and engineering problems while ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About the Role - Senior and Above You're interviewing for Opendoor's ML team which seeks to ... You'll work directly with researchers, product, and operations to build the automation that scales ...

... senior team members. In addition, you'll get the opportunity to network and socialize with peers ... Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis ...

Description We are looking for a senior-level ML expert with deep experience in Speech AI, ideally ... This is a highly hands-on role for someone who combines strong research capabilities with real ...

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Research with 5+ years of professional experience in data science, machine learning or related ...

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Senior Machine Learning Researcher information

See Miami, FL salary details

$27.3K

$73.3K

$131.5K

How much do senior machine learning researcher jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior machine learning researcher in Miami, FL is $73,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $94,200.00 per year, depending on experience, location, and employer.

What opportunities for collaboration typically exist for Senior Machine Learning Researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What does a Senior Machine Learning Researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

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

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

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

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.
What are popular job titles related to Senior Machine Learning Researcher jobs in Miami, FL? For Senior Machine Learning Researcher jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Researcher jobs in Miami, FL look for? The top searched job categories for Senior Machine Learning Researcher jobs in Miami, FL are:
What cities near Miami, FL are hiring for Senior Machine Learning Researcher jobs? Cities near Miami, FL with the most Senior Machine Learning Researcher job openings:
Infographic showing various Senior Machine Learning Researcher job openings in Miami, FL as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $73,270 per year, or $35.2 per hour.

Machine Learning Researcher - PhD Intern (US)

Citadel

Miami, FL • On-site

$4.5K - $5.8K/wk

Other

Posted 13 days ago


Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

  • Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
  • Implement algorithms in high-quality code
  • Work with large data sets, including unconventional and unstructured data sources
  • Back-test models and document research findings

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
  • Prior experience working in a data driven detailed research environment
  • Hands on programming experience in Python or C++
  • A background demonstrating strong problem-solving skills
  • An ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.