IntroductionThe Responsible and Inclusive Technologies research group is seeking qualified candidates with background in computer science, artificial intelligence, applied mathematics or equivalent areas to contribute to our research on the design and development of responsible technologies. As part of our team, you will have the unique opportunity to research advanced and emerging technologies, including foundation models and our particular focus on supporting human practices, engendering trusted insights and reflecting human values through these models.Your Role and ResponsibilitiesThe ideal candidate for this position will have previous experience training and evaluating machine learning models, specifically large language models. Candidates are expected to be attuned to understanding and appreciating the societal and ethical implications of such models and should be comfortable in conducting in-depth and critical analyses of models, exploring their various aspects and attributes, such as, robustness, value-adherence, and faithfulness to human instructions. This will require in-depth understanding of and ability to gain knowledge on techniques for model instruction and control. As result, the candidate should be able to propose and develop novel methods to align models to social values and principles.Candidates should also be qualified to address questions relating to the design and use of advanced technologies, tech ethics and AI fairness, and is committed to interdisciplinary engagement and collaboration. Demonstrated communication skills and the ability to work independently, as well as in a diverse team, are highly desired traits.You must be willing to work in our research lab in Yorktown Heights, NY.Required Technical and Professional Expertise
Master's degree in a technical discipline (Machine learning/AI, Statistics, Computer Science, Engineering, Mathematics) or equivalent practical experience
Proficiency in machine learning, preferably natural language processing
In-depth knowledge of state of the art large-language model architecture (i.e., transformers) and experience in building, training, and/or fine-tunning LLMs
Ability to work in teams as well as independently
Ability to understand and address socio-technical questions and solutions
Proven record of strong publications as well as written and oral communication skills
Preferred Technical and Professional Expertise
PhD degree in a technical discipline (Machine learning/AI, Statistics, Computer Science, Engineering, Mathematics)
Familiarity with important social science concepts pertaining to issues of tech inclusivity, fairness, and ethics
Experience in open-source projects
Knowledge of multimodal machine learning
About Business UnitIBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.Are you ready to be an IBMer?About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.Location StatementIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.