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Contract Meta Machine Learning Jobs in Miami, FL

Lynker

Marine Sensor Data Scientist - AI/ML

Miami, FL · On-site

Hiring for this position will be contingent on contract award. The SEFSC Advanced Technology and ... Support or lead the development of machine-learning detectors and classifiers for sensor data.

Varsity Tutors

Data Science Tutor

Miramar, FL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Miami, FL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Doral, FL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Miami Beach, FL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Sunrise, FL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Miami, FL

Contract Meta Machine Learning information

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How much do contract meta machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for contract meta machine learning in Miami, FL is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $21.83 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Miami, FL?

For Contract Meta Machine Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Miami, FL look for?

The top searched job categories for Contract Meta Machine Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Contract Meta Machine Learning jobs?

Cities near Miami, FL with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 18% Part Time, 2% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $42,431 per year, or $20.4 per hour.

Marine Sensor Data Scientist - AI/ML

Miami, FL • On-site

Lynker Corporation
Scientific Research and Development Services • 201 - 500 employees
Learn more about Lynker Corporationexternal

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Overview

Lynker Corporation is seeking a Marine Sensor Data Scientist - AI/ML to support NOAA Fisheries' Southeast Fisheries Science Center (SEFSC) Fisheries Assessment, Technology & Engineering Support (FATES) Division. This proposed role will manage multidisciplinary marine sensor datasets and develop, train, test, and validate advanced analytical models that improve the efficiency and utility of SEFSC science products. Hiring for this position will be contingent on contract award.

The SEFSC Advanced Technology and Innovation Branch combines emerging technologies, sensors, data systems, and analytical methods to expand scientific research capabilities. The Branch works with active and passive acoustics, multibeam systems, underwater and stereo video, environmental DNA, aerial imagery, and other data sources to develop advanced methods that support fisheries science and stock-assessment needs.

ResponsibilitiesDuties of the Marine Sensor Data Scientist will include the following:
  • Manage and analyze marine data collected across the southeastern United States.
  • Coordinate with project partners to optimize data collection and sensor configurations for artificial intelligence and machine-learning applications.
  • Maintain familiarity with active and passive acoustic, multibeam, underwater video, stereo-video, environmental DNA, and aerial-image datasets.
  • Assist with field-data collection as needed.
  • Organize and document data and metadata using established protocols and tracking interfaces.
  • Curate data in repositories, including cloud storage.
  • Conduct data quality assurance and quality control and evaluate whether datasets meet criteria for advanced analyses.
  • Prepare and archive datasets in accordance with government data-archiving requirements.
  • Maintain an understanding of data products required to meet agency and SEFSC goals and of analytical routines used in SEFSC operations.
  • Identify existing and potential datasets suitable for artificial intelligence and machine-learning tools.
  • Annotate data and support model testing and training.
  • Support or lead the development of machine-learning detectors and classifiers for sensor data.
  • Develop, train, test, and validate analytical models.
  • Generate science products that can be used by customers such as stock-assessment scientists.
  • Participate in multidisciplinary working groups and collaborative projects within and outside NOAA.
  • Prepare scientific proposals for extramural funding.
  • Review reports, manuscripts, and scientific proposals.
  • Participate in stakeholder engagement, public outreach, workshops, scientific meetings, symposiums, and public forums.
  • Provide required monthly status reports and timely summaries of outreach and scientific-meeting activities.
QualificationsThe Marine Sensor Data Scientist should have the following:
  • A master's degree in data science, computer science, marine biology, or a related field, or an undergraduate degree with one year of relevant research experience.
  • Proficiency in machine learning or other artificial-intelligence methods.
  • Proficiency in software languages such as Python and R.
  • Experience with Google Cloud Platform.
  • Experience with cloud computing and model architecture.
  • Experience with relational databases.
  • Experience managing large datasets.
  • Excellent written and oral communication skills.
  • Ability to collaborate on large, multifaceted projects.
The ideal Marine Sensor Data Scientist will have the following preferred qualifications:
  • A Ph.D. in data science, computer science, marine biology, or a related field, with experience developing machine-learning models and advanced analytical techniques.
  • Experience developing and deploying artificial-intelligence or machine-learning models using cloud resources.
Work Environment

The position may be located at an SEFSC laboratory in Miami, Florida; Beaufort, North Carolina; Panama City, Florida; Pascagoula, Mississippi; or Galveston, Texas. The role includes computer-based data management, cloud computing, model development, collaborative scientific work, and potential field-data collection. Travel may be required for field activities, project meetings, workshops, scientific conferences, and public outreach. Facility access is generally available from 6:00 a.m. to 6:00 p.m., Monday through Friday. Travel and overtime must be authorized in accordance with contract requirements.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

* This position is not currently funded and is contingent upon contract award. Employment is subject to successful completion of any required background checks and security processing required by the customer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: CONTRACTOR

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