<h2>About Exponent</h2><p><strong>Exponent</strong> is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.  </p><p> </p><p>Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  </p><p> </p><p>Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!   </p><p> </p><p><strong>Key statistics: </strong></p><ul> <li>950+ Consultants </li> <li>640+ Ph.D.s </li> <li>90+ Disciplines </li> <li>30+ Offices globally </li></ul><h2>Our Opportunity</h2><p>We are currently seeking a Machine Learning Data Acquisition Scientist (Ph.D.) for our <strong>Data Sciences</strong> Practice in our Menlo Park, CA office. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry.</p><h2>You will be responsible for</h2><ul> <li>Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms, including protocol development and documentation, participant moderation, data collection, data management, and analysis</li> <li>Providing operational support for prototype hardware and software systems, including system validation and troubleshooting</li> <li>Actively solving technical and logistical problems in a fast-paced environment</li> <li>Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences</li> <li>Developing data analysis and visualization tools related to project management, demographics, and human-centered data</li></ul><h2>You will have the following skills and qualifications</h2><ul> <li>Ph.D. in a relevant science or engineering field, such as Cognitive Science, Human-Computer Interaction, Electrical Engineering, or Robotics. A wide range of disciplines may also be considered (such as Kinesiology, Applied Physics, Statistics, Industrial Engineering, Mechanical Engineering, or Applied Mathematics)</li> <li>Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences</li> <li>Demonstrated experience collecting data with human subjects</li> <li>Interest and ability to work onsite to scale and manage large-scale data collection operations</li> <li>Demonstrated expertise in one or more of the following areas:  <ul>   <li>Advanced sensing technology</li>   <li>Networking data analysis and visualization</li>   <li>Experience with large data sets</li>   <li>Prototyping</li>   <li>Operations optimization</li>   <li>Machine learning data set design or optimization</li>   <li>Dynamic system modeling and control</li>  </ul></li> <li>The desire to work with a diverse set of clients and engage in work outside of the traditional data science field </li> <li>Strong practical engineering ability combined with leadership and project management skills</li> <li>Excellent verbal and written communication skills</li> <li>Ability to work independently and in multidisciplinary teams</li> <li>Up to 25% travel to a variety of domestic and global locations to support project work</li></ul><p> </p><p><strong>You may also have the following skills and qualifications (optional but beneficial):</strong></p><ul> <li>Experience with qualitative data collection and analysis methods</li> <li>Experience synthesizing information across a variety of sources (such as academic literature, government reports, journalistic articles, etc.) across human-centered subjects</li> <li>Theoretical knowledge of human-AI interaction, social networks, and/or other sociotechnical ecosystems</li></ul><p><em>Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</em></p><h2>Life @ Exponent</h2><p>To learn more about life at Exponent and our impact, please visit the following links:https://www.exponent.com/careers/life-exponent https://www.exponent.com/company/our-impact</p><p> </p><p>Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  </p><p> </p><p>Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. </p><h2>Work Environment</h2><p>At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities. </p><p> </p><p>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</p><h2>Compensation</h2><p>Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.</p><p> </p><p>The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.</p><h2>Salary Range</h2>USD $133,000.00 - USD $145,000.00 /Yr.<h2>Benefits you will enjoy</h2><p>Access benefits information on our Life@Exponent page: </p><p>https://www.exponent.com/careers/life-exponent </p><p> </p><p>Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. </p><p> </p><p>If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. </p><p> </p><p></p><h2>Job Locations</h2>US-CA-Menlo Park

<p>In an era of accelerating change, Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients&rsquo; most profoundly unique, unprecedented, and urgent challenges.</p>
<p>Exponent brings together 90+ technical disciplines and 950+ consultants to help our clients navigate the increasing complexity of more than a dozen industries, connecting decades of pioneering work in failure analysis to develop solutions for a safer, healthier, sustainable world.</p>
<p>Our consultants deliver the highest value by leveraging multidisciplinary expertise and resources from across Exponent's offices in North America, Asia, and Europe. Exponent's consultants, laboratories, databases, and computing resources work seamlessly together around the globe, enabling us to produce the breakthrough insights needed to help multinational companies, startups, law firms, insurance companies, government, and society respond to incidents and push their products and processes forward</p>

Machine Learning Data Acquisition Scientist (Ph.D.)

<h2>About Exponent</h2><p><strong>Exponent</strong>&nbsp;is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. &nbsp;</p><p>&nbsp;</p><p>Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. &nbsp;</p><p>&nbsp;</p><p>Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!  &nbsp;</p><p>&nbsp;</p><p><strong>Key statistics:&nbsp;</strong></p><ul> <li>950+ Consultants&nbsp;</li> <li>640+ Ph.D.s&nbsp;</li> <li>90+ Disciplines&nbsp;</li> <li>30+ Offices globally&nbsp;</li></ul><h2>Our Opportunity</h2><p>We are currently seeking a Machine Learning Data Acquisition Scientist (Ph.D.) for our <strong>Data Sciences</strong> Practice in our Menlo Park, CA office. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry.</p><h2>You will be responsible for</h2><ul> <li>Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms, including protocol development and documentation, participant moderation, data collection, data management, and analysis</li> <li>Providing operational support for prototype hardware and software systems, including system validation and troubleshooting</li> <li>Actively solving technical and logistical problems in a fast-paced environment</li> <li>Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences</li> <li>Developing data analysis and visualization tools related to project management, demographics, and human-centered data</li></ul><h2>You will have the following skills and qualifications</h2><ul> <li>Ph.D. in a relevant science or engineering field, such as Cognitive Science, Human-Computer Interaction, Electrical Engineering, or Robotics. A wide range of disciplines may also be considered (such as Kinesiology, Applied Physics, Statistics, Industrial Engineering, Mechanical Engineering, or Applied Mathematics)</li> <li>Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences</li> <li>Demonstrated experience collecting data with human subjects</li> <li>Interest and ability to work onsite to scale and manage large-scale data collection operations</li> <li>Demonstrated expertise in one or more of the following areas:  <ul>   <li>Advanced sensing technology</li>   <li>Networking data analysis and visualization</li>   <li>Experience with large data sets</li>   <li>Prototyping</li>   <li>Operations optimization</li>   <li>Machine learning data set design or optimization</li>   <li>Dynamic system modeling and control</li>  </ul></li> <li>The desire to work with a diverse set of clients and engage in work outside of the traditional data science field&nbsp;</li> <li>Strong practical engineering ability combined with leadership and project management skills</li> <li>Excellent verbal and written communication skills</li> <li>Ability to work independently and in multidisciplinary teams</li> <li>Up to 25% travel to a variety of domestic and global locations to support project work</li></ul><p>&nbsp;</p><p><strong>You may also have the following skills and qualifications (optional but beneficial):</strong></p><ul> <li>Experience with qualitative data collection and analysis methods</li> <li>Experience synthesizing information across a variety of sources (such as academic literature, government reports, journalistic articles, etc.) across human-centered subjects</li> <li>Theoretical knowledge of human-AI interaction, social networks, and/or other sociotechnical ecosystems</li></ul><p><em>Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</em></p><h2>Life @ Exponent</h2><p>To learn more about life at Exponent and our impact, please visit the following links:https://www.exponent.com/careers/life-exponent https://www.exponent.com/company/our-impact</p><p>&nbsp;</p><p>Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment. &nbsp;</p><p>&nbsp;</p><p>Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.&nbsp;</p><h2>Work Environment</h2><p>At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities. </p><p>&nbsp;</p><p>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</p><h2>Compensation</h2><p>Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.</p><p>&nbsp;</p><p>The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.</p><h2>Salary Range</h2>USD $133,000.00 - USD $145,000.00 /Yr.<h2>Benefits you will enjoy</h2><p>Access benefits information on our Life@Exponent page:&nbsp;</p><p>https://www.exponent.com/careers/life-exponent&nbsp;</p><p>&nbsp;</p><p>Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.&nbsp;</p><p>&nbsp;</p><p>If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.&nbsp;</p><p>&nbsp;</p><p></p><h2>Job Locations</h2>US-CA-Menlo Park

Machine Learning Data Acquisition Scientist (Ph.D.)

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Exponent

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