... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. * Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. Experience with AI ...
... in applied machine learning, with a strong focus on deep learning, NLP, and generative AI ... Expertise in areas such as few-shot learning, meta-learning, explainable AI. Experience with AI ...
Senior Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$104K - $142K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Senior Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$104K - $142K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Senior Electronic and Optical Materials Device Fabrication Engin with Security Clearance
Laurel, MD · On-site
$106K - $139K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Senior Electronic and Optical Materials Device Fabrication Engin with Security Clearance
Laurel, MD · On-site
$106K - $139K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Senior Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$103K - $142K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Senior Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$103K - $142K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Refine deposition ... Have experience using e-beam lithography to pattern meta-optic or integrated photonics devices.
Meta Machine Learning information
See Maryland salary details
$14.46 - $15.44
4% of jobs
$15.44 - $16.42
3% of jobs
$16.42 - $17.39
10% of jobs
$18 is the 25th percentile. Wages below this are outliers.
$17.39 - $18.37
13% of jobs
$18.37 - $19.34
13% of jobs
The median wage is $19.91 / hr.
$19.34 - $20.32
13% of jobs
$20.32 - $21.29
11% of jobs
$22.05 is the 75th percentile. Wages above this are outliers.
$21.29 - $22.27
12% of jobs
$22.27 - $23.25
14% of jobs
$23.25 - $24.22
6% of jobs
$24.22 - $25.20
2% of jobs
$14
$20
$25
How much do meta machine learning jobs pay per hour?
What is a meta machine learning?
A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.
What are the key skills and qualifications needed to thrive in meta machine learning?
To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.
What are some of the main challenges faced in a meta machine learning role?
Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.
What are the most commonly searched types of Meta Machine Learning jobs in Maryland?
The most popular types of Meta Machine Learning jobs in Maryland are:
What are popular job titles related to Meta Machine Learning jobs in Maryland?
For Meta Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Meta Machine Learning jobs in Maryland look for?
The top searched job categories for Meta Machine Learning jobs in Maryland are:

Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 13 days ago
AstraZeneca rating
8.4
Based on 45 frontline employees who took The Breakroom Quiz
23rd of 86 rated pharmaceutical
Job description
WHY JOIN US?
Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone.
Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.
At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.
We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.
Introduction to Role:
As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and real-world healthcare applications, you'll build intelligent agents that can reason, plan, and act autonomously to solve complex clinical challenges.
What makes this role compelling:
Lead challenging projects in agentic AI, LLM orchestration, and multi-agent systems
Build AI agents that directly impact clinical trials, drug discovery, and ultimately patient care
Collaborate with product teams, clinical experts, and ML engineers in a fast-paced environment
Develop automated evaluation systems, prompt optimization techniques, and advanced agent architectures
Contribute to the AI in life sciences community through publications, conferences, and open-source work
Example impactful projects include:Intelligent AI agents for clinical document generation, advanced search systems for medical research, clinical trial optimization tools, synthetic patient data generation, and multi-modal healthcare AI assistants.
Accountabilities:
Design Advanced AI Systems
Build and deploy sophisticated agentic AI solutions using state-of-the-art LLMs
Develop novel approaches to agent memory, tool use, and multi-agent collaboration
Build sophisticated NLP systems for retrieval, information extraction, structured generation, graph reasoning.
Drive Technical Innovation
Create automated techniques for agent design, evaluation, and optimization
Systematically discover and validate effective prompt engineering approaches for agentic systems
Build specialized observability pipelines for continuous model and agent performance monitoring
Lead Cross-Functional Collaboration
Partner with product, design, and clinical teams to translate AI capabilities into impactful healthcare solutions
Mentor engineers and contribute to AI strategy across the organization
Contribute to the Field
Share expertise at conferences and through technical publications
Contribute to open-source projects and help advance best practices in healthcare AI
Essential Skills/Experience:
Bachelor's degree in Engineering, Mathematics, or Computer Science
4+ years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
Extensive prior experience exploring and testing language model behavior, prompting and building products with language models.
Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, Google ADK, Crewai, LangChain, LlamaIndex)
Extensive experience with AWS services (e.g. SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch).
Deep understanding of agentic AI systems and frameworks (e.g. agentic design patterns, multi-agent systems, reinforcement learning).
Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
Desirable Skills/Experience:
Ph.D. in a relevant field (such as mathematics, computer science, data science).
Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
Experience developing complex agentic systems using LLMs.
Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.)
Contributions to open-source AI projects or development of proprietary AI frameworks.
Expertise in areas such as few-shot learning, meta-learning, explainable AI.
Experience with AI ethics, responsible AI practices, and navigating regulatory landscapes for AI deployment in the life science industry.
SO, WHAT'S NEXT?
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.
Where can I find out more?
- Explore what we're building: www.evinova.com
- Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/
Apply today to bring smarter, faster clinical trials to life!
Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailingAZCHumanResources@astrazeneca.com.
#LI-Hybrid
The annual base pay for this position ranges from $144,648.80 - $216,973.20 USD.Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.
Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay(as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Date Posted
28-Aug-2026Closing Date
03-Sept-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
What AstraZeneca employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About AstraZeneca
Sourced by ZipRecruiter
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.
Industry
Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing
Company size
10,000+ Employees
Headquarters location
Cambridge, Cambridgeshire, GB