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Msl Engineering Jobs (NOW HIRING)

Wade Trim

Construction Lead - #3001

Tampa, FL · On-site

$96K - $127K/yr

... MSL in developing Business Plan goals Maintain a safe working environment Education: Bachelor's Degree in Civil Engineering Professional Engineering License 10+ years of related Engineering ...

Wade Trim

Construction Lead - #3001

Tampa, FL · On-site

$96K - $127K/yr

... MSL in developing Business Plan goals • Maintain a safe working environment Education: • Bachelor's Degree in Civil Engineering • Professional Engineering License • 10+ years of related ...

Wade Trim

Construction Lead - #3001

Tampa, FL · On-site

$96K - $127K/yr

Support the MSL in developing Business Plan goals * Maintain a safe working environment Education: * Bachelor's Degree in Civil Engineering * Professional Engineering License * 10+ years of related ...

SynQor

Electrical Component Engineer

Salem, NH · On-site

$65K - $75K/yr

... engineering teams in analysis of Bill of Materials (BOMs) of existing products. * Ensure adherence to SynQor's component requirements including ESD, MSL, RoHS, and REACH compliance status. * Design ...

SynQor

Electrical Component Engineer

Salem, NH · On-site

$65K - $75K/yr

... engineering teams in analysis of Bill of Materials (BOMs) of existing products. * Ensure adherence to SynQor's component requirements including ESD, MSL, RoHS, and REACH compliance status. * Design ...

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How much do msl engineering jobs pay per hour?

As of Aug 23, 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 is an MSL Engineering?

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.

What does an MSL Engineering do?

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 are the key skills and qualifications needed to thrive in an MSL Engineering position?

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.

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MSL Engineering jobs near you
Infographic showing various Msl Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $154,635 per year, or $74.3 per hour.

AI Research Scientist, Pre-training Data - MSL FAIR

Meta

Menlo Park, CA • On-site, Remote

$184K/yr

Full-time

Re-posted yesterday

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling.Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta’s frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.
AI Research Scientist, Pre-training Data - MSL FAIR Responsibilities:
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Architect efficient and scalable data curation systems and pipelines
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP or related AI/ML models
  • Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
  • Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI

Preferred Qualifications:
  • Experience working on frontier-quality/state-of-the-art Large Language Models
  • Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  • Hands-on experience with modeling frameworks like PyTorch
  • Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive

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.
$184,000/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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