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Senior Meta Machine Learning information

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$24.8K

$79.8K

$162.5K

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

As of Jun 28, 2026, the average yearly pay for senior meta machine learning in Baltimore, MD is $79,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,200.00 and $102,300.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Meta Machine Learning jobs in Baltimore, MD? For Senior Meta Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Senior Meta Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Senior Meta Machine Learning jobs? Cities near Baltimore, MD with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Machine Learning Engineer/Scientist

Machine Learning Engineer/Scientist

Precise Systems, Inc.

Edgewood, MD • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Precise Systems, Inc. delivers integrated solutions that enhance defense programs and warfighter readiness. They are seeking a Machine Learning Engineer or Scientist to support chemical and biological defense projects by applying machine learning and data science principles to advance research and develop innovative solutions.
Responsibilities:
• Under the guidance of senior professionals, the individual will perform tasks encompassing research, development, testing, and evaluation of machine learning models towards chemical and biological datasets.
• The candidate will contribute to advancing chemical and biological research and development that drives innovation to out-pace emerging threats while simultaneously providing modern solutions
• Collaborate with interdisciplinary teams to develop machine learning solutions for biological/chemical challenges.
• Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD research efforts.
• Perform internal verification and validation of models and code to ensure deployments for real laboratory use.
• Develop and implement dashboards or other graphical user interfaces for automation for laboratory experimentation.
• Analyze biological or chemical data using languages such as Python and R to derive mathematical insights and improve system performance.
• Employ DevSecOPs and MLOps to integrate machine learning processes into secure data pipelines.
• Collaborate with academic and industry partners to test and refine algorithms and biological systems in diverse environments.
• Perform research to keep models and analysis up to date with the latest advancements.
Qualifications:
Required:
• Master’s degree in Computer Science, Computer Engineering, Computational Biology, Bioinformatics OR Bachelor’s degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.
• 3 years of experience in a laboratory and/or computational environment.
• Hands-on experience applying machine learning algorithms and data science techniques to physical science problems.
• Proficiency in Python and other programming languages commonly used in machine learning and data analysis.
• Familiarity with physical science and laboratory experience.
• Proficiency with software development approaches such as agile, git, DevSecOps, and/or MLOps.
• Advanced communication skills for interacting with interdisciplinary teams, government representatives, and industry partners.
• Willingness to learn new technologies and take on new challenges.
• Strong written and oral communication skills, excellent interpersonal skills, and proficiency in PC software packages for data analysis and visualization.
• Must be able to obtain and maintain a Secret security clearance.
• Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
Preferred:
• Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.
• Expertise in advanced machine learning frameworks (e.g., TensorFlow, PyTorch) and their application to biological data.
• Experience with bioinformatics tools and databases.
• Experience performing wet laboratory experimentation to validate software and models.
• Knowledge of automation systems and robotics for laboratory workflows.
• Collaboration with academic and industry partners on synthetic biology and machine learning projects.
Company:
Precise Systems delivers integrated, mission-ready solutions that advance warfighter readiness and strengthen our nation’s most critical defense programs. Founded in 1990, the company is headquartered in Lexington Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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