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Meta Engineering Jobs in Massachusetts (NOW HIRING)

Systematically discover and validate effective prompt engineering approaches for agentic systems ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...

PhD or MS in appropriate engineering discipline (electrical, chemical, materials engineering ... meta-optics and enable the next generation of 3D sensing in consumer electronics, automotive and ...

Systematically discover and validate effective prompt engineering approaches for agentic systems ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...

Systematically discover and validate effective prompt engineering approaches for agentic systems ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...

Team Maven has assembled a world-class team from Google, Meta, Amazon, and Stripe, and is supported ... Technical enough to hold your own with engineering, and clear enough to translate for enterprise ...

New

Director, CPMS Oncology

Waltham, MA · On-site

$188.10 - $313.50/hr

... meta-analysis, quantitative systems pharmacology and AI/ML informed analyses to enhance data use ... pharmacology, engineering or statistics) and experience in using modeling/simulation to solve ...

Showing results 41-60

Meta Engineering information

What are the key skills and qualifications needed to thrive as a meta engineer, and why are they important?

To thrive as a Meta Engineer, you typically need strong programming skills, a deep understanding of computer science principles, and a relevant degree in fields like computer science or engineering. Familiarity with large-scale distributed systems, cloud platforms, and proficiency in languages such as Python, Java, or C++—as well as experience with internal Meta tools—are often expected. Problem-solving, collaboration, and effective communication are crucial soft skills for working on complex projects and across teams. These skills enable Meta Engineers to build scalable solutions, innovate efficiently, and contribute to the technological advancement of the company.

What is meta engineering?

Meta Engineering typically refers to the engineering teams at Meta (formerly Facebook), responsible for building and maintaining the infrastructure, tools, and systems that support Meta’s products and services. These engineers work on a wide range of projects, including large-scale distributed systems, data infrastructure, artificial intelligence, and developer tools. Meta Engineering teams play a crucial role in ensuring the reliability, performance, and scalability of platforms like Facebook, Instagram, WhatsApp, and Oculus. Their work enables the company to deliver innovative products and seamless experiences to billions of users worldwide.

How does a meta engineer typically collaborate with cross-functional teams to deliver scalable solutions?

Meta Engineers frequently work alongside product managers, designers, data scientists, and other engineers to architect and deploy scalable systems. This collaboration involves participating in agile sprints, code reviews, and technical design discussions to ensure alignment with business goals. Effective communication and a strong understanding of both backend and frontend technologies are key, as Meta Engineers often bridge gaps between various technical domains. Regular collaboration ensures that solutions are robust, user-centric, and can handle Meta's global scale.
What are popular job titles related to Meta Engineering jobs in Massachusetts? For Meta Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Meta Engineering jobs in Massachusetts look for? The top searched job categories for Meta Engineering jobs in Massachusetts are:
What cities in Massachusetts are hiring for Meta Engineering jobs? Cities in Massachusetts with the most Meta Engineering job openings:
Infographic showing various Meta Engineering job openings in Massachusetts as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processin with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

$21.50 - $25/hr

Other

Posted 25 days ago


Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments. Position Description Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing. Requirements/Skills * The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. * Experience with Python, MATLAB and machine learning (coursework or practical) Preferred (not required) * Biomedical signal processing and/or time series analysis experience * Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras * Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning Compensation for 2026 * Technical Co-Op: $24.50 - $31.00 per hour (based on year in school) * Administrative Co-Op: $21.50 - $25.00 per hour (based on year in school) Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.