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Senior Meta Machine Learning Jobs in Florida (NOW HIRING)

Senior Data Science Lead Primary Skills * Hypothesis Testing, T-Test, Z-Test, Regression (Linear ... machine learning * Location: Deerfield Beach, FL * Work Type: Hybrid min 3 days onsite per week

... a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and ... Develop machine learning and generative AI models that ship as customer-facing product features

Job Title Senior Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job ... Possess the knowledge and capability to develop advanced machine learning models and optimize ...

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Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in Florida? The most popular types of Meta Machine Learning jobs in Florida are:
What cities in Florida are hiring for Senior Meta Machine Learning jobs? Cities in Florida with the most Senior Meta Machine Learning job openings:
Junior Machine Learning Engineer with Security Clearance

Junior Machine Learning Engineer with Security Clearance

ENSCO

Melbourne, FL

$65K - $106K/yr

Other

Posted 5 days ago


Job description

Junior Machine Learning Engineer Melbourne, Florida, United States Apply For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains. Learn more about ENSCO. Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets. Qualifications Required:
•         Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
•         Minimum of 2 years related industry experience in machine learning, data science, and analytics.
•         Proven track record of successful data science and algorithm implementation.
•         A self-starter with excellent oral and written communication skills.
•         Experience navigating and programming within the Linux environment.
•         Experience working with structured and unstructured databases.
•         Advanced proficiency with data science languages (e.g. Python, Matlab,)
•         Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
•         Experience working with large data sets and ability to extract relevant information from data sets.
•         The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen Qualifications Desired:
•         Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
•         Experience with ML/DL algorithms extracting signal from noise.
•         Past experience being able to develop solutions using disparate data sets through ML techniques.
•         DevOps experience involving CI/CD pipelines to build and deploy.
•         Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
•         An Active TS/SCI clearance. Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes Salary Range $65,499.20 - $106,620.80 USD REAL ID Requirement This position may require the ability to access to U.S. federal facilities. In accordance with the Department of Homeland Security’s enforcement of the REAL ID Act, as of May 7, 2025, individuals must present a REAL ID-compliant form of identification or an acceptable alternative to gain entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a positive working environment and a competitive salary are only part of the reason for choosing a career here. We offer a comprehensive benefits package that creates a stimulating and supportive environment where you can thrive - visit ensco.com/careers/benefits to learn more. Export Control and Licensing This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a non US person may require an export license from the U.S. Government. Privacy Your data privacy is important to ENSCO. Please click here to view our privacy policy. California residents can click here to view your California privacy rights. EEO Statement ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers– veterans, disability