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Applied Science Jobs (NOW HIRING)

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Applied Scientist

Seattle, WA

$120K - $200K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

We are looking for an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System. You will be at the forefront of defining how Prime Air moves from point A to ...

Grid

Applied Scientist

Seattle, WA · On-site

$120K - $200K/yr

Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

We are looking for an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System. You will be at the forefront of defining how Prime Air moves from point A to ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

We are looking for an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System. You will be at the forefront of defining how Prime Air moves from point A to ...

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$48.4K

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How much do applied science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for applied science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Applied Science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What job makes $10,000 a month without a degree?

In applied science fields, high-paying roles such as data scientists, machine learning engineers, or specialized technical consultants can earn $10,000 or more per month, often through experience, advanced skills, and certifications. These roles typically require strong technical knowledge, problem-solving abilities, and proficiency with tools like programming languages and data analysis software, but may not always require a traditional degree if skills are demonstrated through projects or certifications.

What are the key skills and qualifications needed to thrive in the Applied Science position, and why are they important?

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What is an Applied Science job?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

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Applied Science jobs near you

Data Scientist - Applied Science

Future Secure AI

Austin, TX • On-site

Other

Posted 28 days ago

Job description

About the Role

We're seeking a Data Scientist - Applied Science for our Platform team. You will join our dynamic team and significantly contribute to the evolution of our cutting-edge AI platform. This pivotal role will be instrumental in developing and applying advanced AI models, with a particular focus on enhancing the capabilities of our foundational LLM platform and leveraging it to solve complex, real-world challenges. You'll collaborate closely with engineers, researchers, and product leaders, shaping the direction of our AI platform and driving impactful applications across our partner ecosystem. This isn't just about building models; it's about architecting the future of intelligent systems.

Responsibilities

  • Help lead the design, development, and optimization of components and features within our LLM platform, ensuring scalability, reliability, and performance
  • Translate research breakthroughs and cutting-edge techniques in NLP and generative AI into practical, impactful solutions for our clients and partners. This includes experimenting with novel architectures, training methodologies, and evaluation strategies
  • Drive the development and refinement of LLM output chains for a wide range of use cases, focusing on quality, accuracy, and user experience
  • Champion MLOps best practices including robust benchmark monitoring, automated testing, and continuous improvement pipelines
  • Contribute to the development and implementation of data governance and ethical AI policies
  • Provide technical guidance and mentorship to junior data scientists, fostering a culture of innovation and excellence.
  • Contribute to the long-term technical roadmap for our AI platform and applied science initiatives, aligning with business objectives and emerging industry trends
  • Effectively communicate complex technical concepts to both technical and non-technical audiences, collaborating seamlessly with engineers, product managers, and stakeholders at all levels.

Minimum Requirements

  • Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or a related field and 3+ years of industry experience applying data science techniques to solve complex problems
  • Commercial experience with NLP techniques (supervised NLP learning with LSTM/CNN/Transformers) and deep practical experience with Generative AI frameworks and tools (e.g., Langchain, LlamaIndex, RAG, Multi-Agent Frameworks, fine-tuning approaches)
  • Advanced SQL knowledge and 3+ years' experience programming in Python, including proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers)
  • Solid understanding of MLOps principles and experience with relevant tools and technologies
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with diverse teams
  • An ability and desire to read and critically evaluate current research in LLMs and related fields
  • Able to thrive in a fast-paced, agile environment and embraces ambiguity
  • A strong and demonstrable history of data science experience, with the ability to clearly articulate successful past projects and their impact

Preferred Qualifications

  • Masters Degree and/or Doctorate in a relevant discipline
  • Related publications 

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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