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How much do msl engineering jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for msl engineering in the United States is $74.34, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $102.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Msl Engineering position, and why are they important?

To thrive in MSL (Medical Science Liaison) Engineering, candidates typically require a strong engineering background (such as in biomedical or mechanical engineering), experience in the life sciences or medical devices sector, and a relevant degree. Familiarity with regulatory standards (like FDA or ISO), product lifecycle management tools, and possibly certifications such as Six Sigma can be important. Excellent communication, relationship-building, and problem-solving skills are essential to effectively collaborate with both medical experts and internal teams. These competencies enable effective translation of complex engineering concepts, foster trust with stakeholders, and support successful product adoption in highly regulated industries.

What does a typical day look like for someone in an MSL Engineering role?

A typical day in an MSL Engineering role often involves meeting with healthcare professionals or key opinion leaders to discuss the scientific and technical aspects of medical products, preparing and delivering presentations, and collaborating with R&D or regulatory teams. You might also analyze clinical data, support product launches, and provide field-based technical training. Expect to spend significant time traveling to client sites, conferences, or hospitals, and to work both independently and within cross-functional teams. This dynamic environment provides exposure to cutting-edge technologies and fosters opportunities for career advancement in both technical and scientific leadership paths.

What is an MSL Engineering job?

An MSL (Medical Science Liaison) Engineering job combines technical expertise with medical and scientific knowledge to support the development and use of medical devices, pharmaceuticals, or biotechnology products. These professionals act as a bridge between engineering teams and healthcare providers, explaining product functionality, ensuring regulatory compliance, and gathering feedback for improvements. They often work with R&D teams, clinical specialists, and regulatory bodies to ensure products meet industry standards and patient needs.

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What states have the most Msl Engineering jobs? States with the most job openings for Msl Engineering jobs include:
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Msl Engineering jobs near you
Infographic showing various Msl Engineering job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 7% Full Time, 76% Part Time, 5% Temporary, and 7% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $154,635 per year, or $74.3 per hour.
Research Engineer - MSL FAIR Foundations

Research Engineer - MSL FAIR Foundations

Meta

Menlo Park, CA • On-site

$183K/yr

Full-time

Posted 26 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 186 rated software companies

Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring practical research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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