Agentic AI Scientist
Gaithersburg, MD · On-site
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Agentic AI Scientist
Gaithersburg, MD · On-site
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Agentic AI Scientist
Gaithersburg, MD · On-site
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Agentic AI Scientist
Gaithersburg, MD · On-site
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... or Temporary Regular Summary The instructor is responsible for the coordination, planning ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... or Temporary Regular Summary The instructor is responsible for the coordination, planning ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... or Temporary Regular Summary The instructor is responsible for the coordination, planning ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... or Temporary Regular Summary The instructor is responsible for the coordination, planning ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
DoD SkillBridge Internship Eligible Applicants - Active Duty US Military Only withCommand approval to participate TEMPORARY ROLE: Not to exceed 180 days This position must meet Export Control ...
DoD SkillBridge Internship Eligible Applicants - Active Duty US Military Only withCommand approval to participate TEMPORARY ROLE: Not to exceed 180 days This position must meet Export Control ...
... 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 ...
Expertlevel knowledge of Paid Search (Google, Bing), Paid Social (Meta, TikTok, Pinterest, Reddit ... Deep understanding of bidding strategies, automation, machine learning, and AIdriven optimizations.
Expertlevel knowledge of Paid Search (Google, Bing), Paid Social (Meta, TikTok, Pinterest, Reddit ... Deep understanding of bidding strategies, automation, machine learning, and AIdriven optimizations.
Expert-level knowledge of Paid Search (Google, Bing), Paid Social (Meta, TikTok, Pinterest, Reddit ... Deep understanding of bidding strategies, automation, machine learning, and AI-driven optimizations.
Expert-level knowledge of Paid Search (Google, Bing), Paid Social (Meta, TikTok, Pinterest, Reddit ... Deep understanding of bidding strategies, automation, machine learning, and AI-driven optimizations.
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.
Associate Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$127K - $165K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Maintain version ... Have experience using e-beam lithography to pattern meta-optic devices. * Have experience ...
Associate Electronic and Optical Materials Device Fabrication Engineer
Laurel, MD · On-site
$127K - $165K/yr
Apply AI and machine-learning approaches to improve fabrication processes * Maintain version ... Have experience using e-beam lithography to pattern meta-optic devices. * Have experience ...
Associate Electronic and Optical Materials Device Fabrication En with Security Clearance
Laurel, MD · On-site
Apply AI and machine-learning approaches to improve fabrication processes * Maintain version ... Have experience using e-beam lithography to pattern meta-optic devices. * Have experience ...
Associate Electronic and Optical Materials Device Fabrication En with Security Clearance
Laurel, MD · On-site
Apply AI and machine-learning approaches to improve fabrication processes * Maintain version ... Have experience using e-beam lithography to pattern meta-optic devices. * Have experience ...
Test and Evaluation Lead
Gaithersburg, MD · Hybrid
$51.25 - $70/hr
Evaluate the use of AI and machine learning to improve test creation, defect prediction, anomaly ... Develop and maintain the Test and Evaluation Master Plan (TEMP), test procedures, and associated ...
Test and Evaluation Lead
Gaithersburg, MD · Hybrid
$51.25 - $70/hr
Evaluate the use of AI and machine learning to improve test creation, defect prediction, anomaly ... Develop and maintain the Test and Evaluation Master Plan (TEMP), test procedures, and associated ...
Data Architect
$63.25 - $81.25/hr
... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design data architecture to support advanced analytics, machine learning, and AI workloads for ...
Data Architect
$63.25 - $81.25/hr
... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design data architecture to support advanced analytics, machine learning, and AI workloads for ...
Test and Evaluation Lead
Gaithersburg, MD · On-site
$51.25 - $70/hr
Evaluate the use of AI and machine learning to improve test creation, defect prediction, anomaly ... Develop and maintain the Test and Evaluation Master Plan (TEMP), test procedures, and associated ...
Test and Evaluation Lead
Gaithersburg, MD · On-site
$51.25 - $70/hr
Evaluate the use of AI and machine learning to improve test creation, defect prediction, anomaly ... Develop and maintain the Test and Evaluation Master Plan (TEMP), test procedures, and associated ...
Adjunct, Nursing
Frederick, MD · On-site
The Adjunct Nursing Faculty member is responsible for facilitating student learning in the ... Actively engage students in critical thinking, meta-cognitive processes, and advancement of ...
Adjunct, Nursing
Frederick, MD · On-site
The Adjunct Nursing Faculty member is responsible for facilitating student learning in the ... Actively engage students in critical thinking, meta-cognitive processes, and advancement of ...
Urban Search and Rescue (US&R) Field Service Representative (Logistics Management Analyst 1) 22456
Abingdon, MD · On-site
$43K - $62K/yr
This is a temporary position through August 2025. I-SF1 What You Will Do: The following statements ... Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ...
Urban Search and Rescue (US&R) Field Service Representative (Logistics Management Analyst 1) 22456
Abingdon, MD · On-site
$43K - $62K/yr
This is a temporary position through August 2025. I-SF1 What You Will Do: The following statements ... Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ...
Data Scientist
Lanham, MD · On-site
$106K/yr
Experience developing, validating, deploying, monitoring, and maintaining machine learning and ... temporary appointment from a competitive referral certificate, known as time after competitive ...
Data Scientist
Lanham, MD · On-site
$106K/yr
Experience developing, validating, deploying, monitoring, and maintaining machine learning and ... temporary appointment from a competitive referral certificate, known as time after competitive ...
Temporary Meta Machine Learning information
What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?
Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.
What is the difference between Temporary Meta Machine Learning vs Data Scientist?
| Aspect | Temporary Meta Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Typically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are common | Requires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous |
| Work Environment | Project-based, often contract roles within tech companies, startups, or consulting firms | Full-time or contract roles in various industries including finance, healthcare, and tech |
| Industry Usage | Primarily in tech, AI, and machine learning-focused companies | Widely used across multiple industries including finance, healthcare, marketing, and tech |
Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.
What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?
To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.
What are Temporary Meta Machine Learning jobs?
Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
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 Temporary Meta Machine Learning jobs in Maryland? For Temporary Meta Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Maryland look for? The top searched job categories for Temporary Meta Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Temporary Meta Machine Learning jobs? Cities in Maryland with the most Temporary Meta Machine Learning job openings:
AstraZeneca rating
8.4
Based on 45 frontline employees who took The Breakroom Quiz
15th of 74 rated pharmaceutical
Job description
Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca!
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
Essential skills/Experience:
Desirable skills/experience:
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jul-2026
Closing Date
08-jul-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.
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
- Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.
- Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).
- Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.
- Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
- Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
- Communicate technical concepts and results to technical and non-technical audiences.
Essential skills/Experience:
- PhD in computer science, data science, artificial intelligence, machine learning or related fields.
- At least 3 years of experience in Deep Learning and ML
- Excellent coding skills in languages such as Python, R.
- Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
- Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
- Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
- Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
- Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.
Desirable skills/experience:
- Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
- Strong publication record in the field of AI.
- Experience designing multi-agent systems in the pharmaceutical sector.
- Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
- Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jul-2026
Closing Date
08-jul-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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