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Meta Machine Learning Jobs in Maryland (NOW HIRING)

Meta Machine Learning information

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$14

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How much do meta machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for meta machine learning in Maryland is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $22.16 per hour, depending on experience, location, and employer.

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:

Infographic showing various Meta Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $43,056 per year, or $20.7 per hour.

Principal AI Engineer - Evinova

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

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-2026

Closing Date

03-Sept-2026

Our 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.


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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