Your Role and Responsibilities
IBM Research is seeking a highly skilled and motivated AI Scientist/Engineer with expertise in PyTorch to join our team. In this role, you will be responsible for developing, training, and deploying sophisticated machine learning models. You will collaborate with a cross-functional team to translate business requirements into robust AI solutions, ensuring high performance and scalability.
Roles and Responsibilities:
Develop, train, and optimize machine learning models using PyTorch.
Collaborate with cross-disciplinary teams to understand requirements and formulate AI-driven solutions.
Implement state-of-the-art algorithms and contribute to the development of our AI platform.
Evaluate and improve the performance of machine learning models.
Stay abreast of latest developments in AI and machine learning, especially in PyTorch.
Prepare and present findings to both technical and non-technical stakeholders.
Contribute to the codebase ensuring best practices in software development.
Being You @ IBM
IBM 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.
Required Technical and Professional Expertise
PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
Proficient in Python and PyTorch with a minimum of 3 years of hands-on experience.
Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Technical and Professional Experience
Experience with other deep learning frameworks (e.g., TensorFlow, Keras).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.
Experience with big data technologies (e.g., Hadoop, Spark).
Contributions to open-source machine learning projects.
Other Relevant Job Details
IBM 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. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
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About Business Unit
IBM 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.
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More Information on IBM
IBM operates in the Big Data Analytics industry. The company is located in Armonk, NY, Southbury, CT, New York, NY, Philadelphia, PA, Washington, DC, Durham, NC, Tampa, FL, Smyrna, GA, Huntsville, AL, Chicago, IL, Dallas, TX and San Francisco, CA. It has 533854 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability insurance, Dental insurance, Vision insurance, Health insurance and Life insurance. To see all 68 open jobs at IBM, click here.
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