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Acl Labs Jobs (NOW HIRING)

NEC Labs America

ML - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

Our recent work has been published at NeurIPS, ICML, ICLR, CVPR, KDD, ACL, RECOMB, Nature, Nature ... ABOUT NEC LABORATORIES AMERICA NEC Laboratories America, Inc. (NEC Labs) is the US-based research ...

Nuance Labs

Nuance Research Fellow

Seattle, WA · On-site

About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional ... ECCV, ACL, EMNLP, NAACL, ICASSP, Interspeech, MLSys, SIGGRAPH, or equivalent - or equivalent ...

Vibehackers

$150 - $200/hr

Collaborate with foundation model labs, enterprises, and infrastructure teams to implement ... Publication track record in reputable venues (e.g., NeurIPS, ICML, ACL, EMNLP) * Strong ...

New

NEC Labs

ML - Researcher

Princeton, NJ · On-site

... ACL, RECOMB, Nature, Nature Genetics, Nature Machine Intelligence, and other top venues, and has garnered media coverage (Science News, Nature News, New York Times, MIT Technology Review).A lot of ...

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How much do acl labs jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for acl labs in the United States is $38.64, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $48.80 per hour, depending on experience, location, and employer.

What is an ACL Labs job?

An ACL Labs job typically involves working in a clinical laboratory setting, performing medical testing and analysis to aid in patient diagnosis and treatment. Positions range from lab technicians and phlebotomists to medical technologists and administrative roles. Employees may handle specimen collection, data entry, and quality control to ensure accurate lab results. ACL Labs is known for providing diagnostic services to hospitals, physicians, and healthcare providers.

What are the key skills and qualifications needed to thrive in the ACL Labs position?

To excel at ACL (Aurora Consolidated Laboratories) Labs, you typically need a background in laboratory science, such as a degree in medical laboratory technology or clinical laboratory science. Familiarity with laboratory information systems (LIS), diagnostic equipment, and certifications like ASCP or AMT are often required. Strong attention to detail, organizational skills, and effective communication are vital soft skills. These competencies ensure accurate and timely testing, reliable results, and smooth collaboration within healthcare teams.

What is the typical work environment like for laboratory professionals at ACL Labs?

Laboratory professionals at ACL Labs usually work in clean, well-organized clinical lab settings alongside teams of technicians, technologists, and pathologists. The pace can range from steady to fast, especially during high-volume periods, requiring a focus on accuracy and efficiency. Employees often follow strict safety protocols and may work various shifts, including evenings or weekends, depending on the department. Collaboration with clinicians and other healthcare staff is common to ensure timely and accurate diagnostic results, fostering a culture of teamwork and continual learning.

What does ACL Labs specialize in?

ACL Labs specializes in forensic laboratory testing and analysis, focusing on digital forensics, data recovery, and cybersecurity investigations. The company employs advanced tools and techniques to support legal and security-related cases, often requiring technical skills and certifications in digital forensics. Their work involves analyzing electronic evidence to assist in criminal and civil investigations.
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Infographic showing various Acl Labs job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 83% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $80,364 per year, or $38.6 per hour.

AI Research Manager - Meta Superintelligence Labs

Meta

Menlo Park, CA • On-site

$219K/yr

Full-time

Posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a Research Scientist Manager to join Meta Superintelligence Labs (MSL). In this role, you’ll lead the efforts of building and shipping personal superintelligence at the frontier. This is a technical leadership role requiring research expertise, people management skills, and the experience of driving execution on open-ended AI challenges with high reliability. In this role, you will manage teams of researchers and technical leaders working on large-scale AI problems. The evaluations and datasets your team builds will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will maintain high velocity across your team while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, guiding your team through a wide variety of problems in the LLM post-training space. If you are excited about defining the capabilities that drive AI progress, have a track record of building high-performing technical research teams, and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting leadership opportunity at the core of MSL.
AI Research Manager - Meta Superintelligence Labs Responsibilities:
  • Team leadership & management: Build, mentor, and grow a team of research scientists and research engineers
  • Technical Strategy & Execution: Oversee work across the full LLM post-training stack. Influence the technical roadmap and research direction. Translate ambiguous user and product needs into tractable research questions, technical plans, and measurable outcomes
  • Cross-functional collaboration: Lead complex cross-functional projects end-to-end
  • Hands-on technical contributions: Maintain technical credibility through hands-on contributions to critical projects. Review code, provide technical guidance, and unblock complex scaling or modeling challenges. Define and maintain clear research quality standards and engineering best practices and engineering standards for the team

Minimum Qualifications:
  • PhD degree in Computer Science, Machine Learning, or a related technical field
  • 6+ years of industry experience in AI research, machine learning, or a closely related technical field
  • 4+ years of experience managing teams of researchers or engineers, including experience managing other technical leaders or managers
  • Experience working on frontier-quality/state-of-the-art Large Language Models. Deep, practical experience in LLM post-training
  • Demonstrated ability to balance hands-on technical work with people management and strategic planning
  • Experience communicating technical strategy and research direction to cross-functional stakeholders
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to deep learning, language models, or data-centric AI

Preferred Qualifications:
  • Hands-on experience managing teams that build language model post-training pipelines (SFT/RLHF/RLVR), synthetic data generation, or high-quality evals infrastructure
  • Experience in implementing or developing environments for agentive workflows (e.g., tool use, web browsing environments, coding sandboxes)
  • Extensive experience working on long horizon agents, agent tool use, personalization, and/or search
  • Experience building infrastructure for agentive workflows, tool-use data collection, or reinforcement learning environments
  • Experience building and scaling large-scale distributed systems and high-throughput data processing pipelines
  • Experience managing teams in fast-paced research or startup environments

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.
$219,000/year to $301,000/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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