United States, Pennsylvania, Biological Scientist jobs
Nvidia Senior Research Scientist United States, Texas
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- US, CA, Santa Clara
- US, Remote
- time type
- Full time
- posted on
- Posted 13 Days Ago
- job requisition id
What you'll be doing:
Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language
Design new large scale training algorithm
Open-source models using NeMo conversational AI frameworks
Mentor interns
Publish research papers on top speech and NLP conferences
Collaborate with universities and research teams.
What we need to see:
PhD in Computer Science or Electrical Engineering (or equivalent experience)
Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition
At least 5 years of research experience in speech recognition or NLP
Excellent Python programming skills
Experience with PyTorch
Strong publications record
Ways to stand out from the crowd:
Contribution to open-source projects
Being reviewers for one of the top speech conferences
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Research Scientist Generative AI Physical - PhD New College ... United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 11 Days Ago
- job requisition id
As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.
What you'll be doing:
Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
Author influential research papers to share your groundbreaking discoveries with the global AI community
Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
What we need to see:
PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
Strong foundation indiffusion, vision language and reasoning models and their applications
Proven experience with reinforcement learning algorithms and implementations
Robust knowledge of physics simulation and its integration with AI systems
Demonstrated proficiency in 3D generative models and their applications
Ways to stand out from the crowd:
Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
Experience with large-scale distributed training systems
Background in robotics or physical systems
Open-source contributions to prominent AI projects
History of successful research-to-product transitions
You will also be eligible for equity and .
Ebay Sr Applied Scientist Recommendations United States, New York, New York
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This Is An Opportunity To
Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.
Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.
Develop and deploy innovative models in the context of recommender systems.
Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.
Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day.
Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.
MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
Experience with using cloud services, big data pipelines and databases
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
The base pay range for this position is expected in the range below:
$166,400 - $222,100Google Discover Data Scientist Research United States, California, Mountain View
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- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
- Ability to collaborate cross-functionally and work effectively within a distributed team.
- Excellent communication skills.
- Excellent collaboration skills.
Google Data Scientist Research PhD Early Career Start United States, California, Mountain View
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- PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
- 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.
Preferred qualifications:
- Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
AlignTech Machine Learning Scientist United States, North Carolina, Raleigh
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- Information Technology
- Employment Type
- Full Time
- US-North Carolina-Raleigh
- Workplace type
- Use data science and machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
- Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives
- Design and implement machine learning techniques to improve treatment planning, customer engagement, and device manufacturing based on historical data
- Collaborate effectively with other data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation
- Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results.
- Identify features and data needed for machine learning solutions.
- Help to deliver a vision for our product evolution using machine learning
- Stay current on the emerging directions in AI-technologies and support the development of the AI/ML roadmap
- Stay current on specific AI-technologies and apply them in an appropriate manner to applicable projects
- 5+ years of relevant experience
- 2+ years of machine learning research practice (including graduate work)
- Masters degree or higher in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field.
- Knowledge of machine learning theory and practice.
- 2+ years in a data-science-oriented programming language such as Python or R
- Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively.
- Ability to collaborate effectively with developers, program management, and internal customers on objectives, requirements and design constraints in a distributed development environment.
- Able to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
- Experience in developing software in an Agile SDLC
- Experience in collaborative work with users and other technical teams
- Strong background in Computer Vision, Pattern Matching, or Medical Applications.
- Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment
- Back-up Child/Elder Care and access to a caregiving concierge
- Family Forming Benefits – Available to Employees, and their spouse or domestic partner, covered under one of Align’s health plans
- Breast Milk Delivery and Lactation Support Services
- Employee Assistance Program
- Hinge Health Virtual Physical Therapy – Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan
- Short-term and long-term disability insurance in accordance with those plans.
- Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans.
- Flexible Spending Accounts – Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan.
- 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years – 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options.
- Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible).
- Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure.
- Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours.
- 11 Company-designated paid holidays throughout the year.
- If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.
- Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase.
At Align, every smile matters. We’re committed to helping you thrive by supporting the health, growth, and well-being of our team members through a variety of tools and programs. While specific offerings may vary by location and role, Align employees can typically expect:
- Health and well-being programs to keep you thriving in both body and mind.
- Employee-exclusive discounts on Invisalign products.
- Learning opportunities through online learning resources and support for your individual development plans.
- Inclusive, global workplace that fosters collaboration, recognition and belonging.
Google Quantum Research Scientist Pathfinding United States, California, Mountain View
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- PhD in Physics, Quantum Information Science, or a related discipline.
- Experience with developing and applying new problem-solving and numerical methods for quantum phenomena.
- Three or more scientific publications in the areas of quantum computing, simulation, or many-body physics.
Preferred qualifications:
- Experience developing a research program on quantum systems (e.g., many-body systems, quantum chemistry, open systems).
- Experience with quantum error correction, fault tolerance, and error mitigation.
- Experience with programming languages (e.g., Python, C++) and large-scale classical simulation of quantum phenomena.
- US, CA, Santa Clara
- US, Remote
- time type
- Full time
- posted on
- Posted 13 Days Ago
- job requisition id
What you'll be doing:
Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language
Design new large scale training algorithm
Open-source models using NeMo conversational AI frameworks
Mentor interns
Publish research papers on top speech and NLP conferences
Collaborate with universities and research teams.
What we need to see:
PhD in Computer Science or Electrical Engineering (or equivalent experience)
Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition
At least 5 years of research experience in speech recognition or NLP
Excellent Python programming skills
Experience with PyTorch
Strong publications record
Ways to stand out from the crowd:
Contribution to open-source projects
Being reviewers for one of the top speech conferences
You will also be eligible for equity and .
These jobs might be a good fit
