Lead engineer Job at Pearson Education Services, Sacramento, CA

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  • Pearson Education Services
  • Sacramento, CA

Job Description

Position Summary

Pearson is seeking an innovative Machine Learning and AI Engineer to help leverage the growing field of AI in Higher Education. You'll work on exciting projects that enhance learning experiences for university students and support instructors. Join us in creating solutions that improve educational outcomes through the power of machine learning and large language models (LLMs).

Responsibilities

  • Develop and implement ML and AI solutions to improve student engagement, comprehension, and personalized learning
  • Collaborate with cross-functional teams to design and build innovative educational tools
  • Explore and apply the latest AI technologies to enhance teaching and assessment methods
  • Evaluate and optimize AI models for performance, cost-effectiveness, and educational impact
  • Ensure responsible and ethical use of AI in educational contexts


Requirements

  • 3+ years of experience in machine learning, deep learning, or AI development
  • Strong programming skills in Python
  • Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Familiarity with large language models (LLMs) and their applications
  • Knowledge of data preprocessing and analysis techniques
  • Understanding of ethical AI principles and responsible AI practices
  • Bachelor's degree in Computer Science, Data Science, or a related field (Advanced degrees welcome but not required)


Preferred Qualifications

  • Experience with natural language processing (NLP) and transformer-based models
  • Familiarity with prompt engineering and LLM fine-tuning
  • Background in educational technology or e-learning solutions


We welcome applications from candidates with diverse backgrounds, including those with PhDs, quantitative expertise, or equivalent industry experience. If you're passionate about using AI to improve education and have a solid foundation in machine learning, we'd love to hear from you!

Compensation at Pearson is influenced by various factors including skill set, level of experience, and location. The full-time salary range for this position is $150,000 - $175,000. This role is eligible for our annual incentive program and comprehensive benefits package

What To Expect From Pearson

Did you know Pearson is one of the 10 most innovative education companies of 2022?

At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.

We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.

To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.

Job: TECHNOLOGY

Organization: Higher Education

Schedule: FULLTIME

Workplace Type: Remote

Req ID: 16344

#location

Job Tags

Full time, Remote job,

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