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Senior Machine Learning Engineer
Job role insights
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Date posted
September 10, 2024
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Deadline
September 10, 2024
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Study location
Stanford
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Tuitions
168,000$ - 180,000$/year
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Qualification
Master’s Degree
Description
Schedule: Full-time
Employee Status: Fixed-Term
Work Arrangement: Remote Eligible
Pay Range: $168,000 to $180,000 per annum
The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, is seeking a Senior Machine Learning Engineer to join our interdisciplinary research team. This position focuses on designing, developing, and evaluating advanced computational models of responsive caregiving behaviors, with a particular emphasis on auditory and visual processing through machine learning techniques.
Position Overview: This 1-year fixed-term position may be renewed based on performance and funding. The role is eligible for a remote work agreement, though limited travel may be required for collaborative work and events. Applicants should be eligible to work in the US, as visa sponsorship is not available for this position. Interested candidates should submit a resume and cover letter explaining their interest in this role.
About Us: The Stanford Accelerator for Learning (SAL) is housed within Stanford Graduate School of Education and is a pioneering research hub that connects experts from diverse disciplines to expedite learning solutions for all. SAL’s focus includes digital learning, early childhood education, learning differences, equity in learning, and more. The Stanford Center on Early Childhood (SCEC), an initiative under SAL, seeks to revolutionize early childhood research by fostering collaboration across sectors to ensure every child thrives from the start.
Key Responsibilities:
- Develop Computational Models: Design, evaluate, and implement machine learning models to analyze responsive caregiving behaviors based on naturalistic data.
- Contextual Analysis: Investigate how different environmental conditions and activities impact model performance and caregiving behavior analysis.
- User Study Design: Conduct studies to assess model performance impacts on labeling workflows used by human experts in child development.
- Behavioral Consistency Analysis: Explore the consistency of caregiving behaviors across varying interaction contexts.
- Supervision and Coordination: Oversee a team of data labelers, software engineers, and researchers, including managing external consultants and vendors.
Primary Responsibilities:
- Lead the design, development, and maintenance of complex Big Data systems and data-intensive solutions.
- Collaborate with Product and Data Science teams to build machine learning models addressing real-world problems.
- Define guidelines, standards, and processes for data quality and integration.
- Ensure the security and effective integration of applications, data, and components.
- Develop prototypes and proof-of-concepts using software development best practices.
- Oversee and mentor junior team members and collaborators.
Required Qualifications:
- Advanced degree in a scientific or analytical field.
- Experience in data structures, algorithms, and techniques for high-volume datasets, including machine learning and NLP.
- Expertise in relational, NoSQL, and distributed data processing techniques.
- Proficiency in scripting languages and high-performance computing techniques.
- Experience in system analysis, security controls, and scalable Big Data platform development.
- Strong project management and communication skills.
Preferred Qualifications:
- Ph.D. in Computational Modeling, Machine Learning, Child Development, or a related discipline.
- Strong background in computational modeling, particularly for behavioral data analysis.
- Proven experience in designing and conducting research studies on naturalistic data.
- Experience with child development research and human-computer interaction principles.
- Ability to present complex technical concepts to diverse audiences.
Pay and Benefits: The expected salary range for this position is $168,000 to $180,000 per annum, with the final offer based on factors like qualifications, experience, and location. Stanford University provides a comprehensive benefits package, detailed on the Cardinal at Work website, including health benefits, retirement plans, generous time off, and more.
Equal Employment Opportunity: Stanford University is an equal opportunity employer. We encourage applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Applicants needing accommodations during the hiring process should contact Stanford University Human Resources.
Skills
Overview
Founded nearly 150 years ago, Stanford University stands as a beacon of innovation and societal impact. Our mission is to educate and inspire future leaders with integrity, advance fundamental knowledge, and pioneer research that drives real-world solutions. With a rich history of possibility and a forward-looking vision, we are committed to pushing the boundaries of what is known and preparing our students to address global challenges with creativity and ethical responsibility.
At Stanford, we offer a broad and deep range of academic programs across seven distinguished schools, fostering an environment where interdisciplinary collaboration thrives. Our students engage with big ideas, cross conceptual boundaries, and embrace a diverse range of perspectives. This unique blend of academic excellence and innovative thinking equips them to make a significant impact in their chosen fields and beyond.
We take pride in our commitment to academic freedom, which fuels our research and inquiry. Our vibrant ecosystem of interdisciplinary research drives discovery and innovation, translating groundbreaking ideas into practical solutions. With a legacy of Nobel Prize winners and a track record of impactful research, Stanford continues to lead the way in advancing knowledge and addressing the world's most pressing issues.
Our dedication extends beyond the campus. Through initiatives like the Innovative Medicines Accelerator and the Sustainability Accelerator, we are translating research into solutions that have a global impact. Our medical enterprise, Stanford Medicine, exemplifies this commitment by providing exceptional patient care and advancing medical research for the benefit of individuals and communities worldwide.
Join us at Stanford University, where tradition meets innovation, and together, we strive to make a meaningful difference in the world.
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School size
5000+
Founded in
1885
Location
Stanford
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