Senior Machine Learning Engineer

To be successful in this position, you will bring:

• Advanced degree in scientific or analytic field is required.
• Experience using and designing key data structures, algorithms and techniques pertinent to systems that support high volume, velocity, or variety datasets including (data mining, machine learning, NLP, data retrieval)
• Advanced level knowledge of relational, NoSQL, or NewSQL database systems, and data modeling, structured and unstructured.
• Advanced level knowledge of parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch) and systems.
• Advanced level knowledge in scripting languages, expertise with high performance/systems languages and techniques.
• Experience in benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.
• Expertise architecting and deploying reliable data systems and data quality management systems.
• Ability to use and integrate security controls for web applications, mobile platforms, and backend systems.
• Extensive experience in the evaluation, design, and deployment of new tools, frameworks, and patterns to build scalable Big Data platforms.
• Ability to document use cases, solutions and recommendations;
• Demonstrated excellence in written and verbal communication skills
• Project management skills and ability to understand and apply systems for storing and analyzing datasets.
• Ability to mentor, motivate and provide guidance to staff on definitive tasks.

Preferred Education & Experience: 

• Ph.D. in a related field such as Computational Modeling, Machine Learning, Child Development, Human-Computer Interaction, or a similar discipline.
• Strong background in computational modeling, machine learning, and data analysis, particularly as they apply to behavioral data.
• Proven experience in designing and conducting research studies, with a focus on naturalistic data and human behavior analysis.
• Ability to work effectively in an interdisciplinary research environment, with a collaborative approach to problem-solving.
• Demonstrated ability to present complex technical concepts to a diverse audience.
• Experience in child development research, particularly in assessing child-caregiver interactions.
• Experience with designing and developing machine learning algorithms.
• Familiarity with human-computer interaction principles and methodologies.

Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

The expected pay range for this position is $168,000 to $180,000 per annum. 

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. 

Why Stanford is for You: 
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

• Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
• A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
• A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
• Discovery and fun. Stroll through historic sculptures, trails, and museums.
• Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

How to Apply:
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application. 

• Finalist must successfully complete a background check prior to working at Stanford University.
• This is a fixed-term position with an end date of one year and is renewable based on performance and funding
• Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.