Biological Scientist jobs
Palo Alto Principal AI Scientist United States, California
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact
Your Impact
- AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications.
- Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems.
- System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications.
- Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations.
- Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers.
- Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence.
- Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions.
- Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring.
- Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.
Your Experience
8+ years in software engineering, with 5+ years in Data science/AI/ML experience.
Experience deploying enterprise AI/ML systems.
Understanding of the AI lifecycle.
Experience with distributed systems and streaming data.
Hands-on experience with Generative AI and LLMs.
Proficiency in AI/ML frameworks and cloud platforms.
Strong programming skills (Python and C++).
Excellent communication skills.
Masters/Bachelors degree in Computer Science or related field.
Preferred Qualifications:
PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field.
Experience with open-source AI projects.
Prior technical lead role for AI/ML projects.
Familiarity with cybersecurity principles for AI.
What we are looking for?
Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn).
Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact.
System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles.
Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts.
Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction.
Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams.
Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes.
Continuous Learning: Passion for staying up-to-date with the latest advancements in AI.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165,000 - $250,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit
Airbnb Staff Data Scientist Marketplace United States
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The Community You Will Join:
You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.
The Difference You Will Make:
As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:
- Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
- Delivering data and insights to enable the company’s supply growth efforts
- Providing mentorship to other data scientists and exemplifying a high bar for technical excellence
A Typical Day:
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.
Your Expertise:
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Airbnb Senior Data Scientist Marketplace United States
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The Community You Will Join:
You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.
The Difference You Will Make:
As a Senior Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:
- Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
- Delivering data and insights to enable the company’s supply growth efforts
A Typical Day:
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.
Your Expertise:
- 5+ years of relevant industry experience, or 2+ years with a PhD
- Background in economics, statistics, and experimentation. A PhD or Master’s in economics or a related field is valued
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Airbnb Staff Data Scientist Platform Inference/Payments United States
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A Typical Day:
- Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
- AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior.
- Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
- Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
- Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.
Required qualifications
- 9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree.
- Strong knowledge of causal inference, experimentation, and statistical modeling.
- Skilled in statistical programming (Python or R) and database usage (SQL)
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- Ability to translate complex findings and results into compelling narratives that drive impact
- Excellent project management, communication, and teamwork skills
- Payments/Risk Domain expertise is a strong plus
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Nvidia Research Scientist Efficient Deep Learning - New College Gra... United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.
Experience with large language models and large vision-language models is required.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Outstanding research track record.
Excellent communications skills.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior Research Scientist Fundamental LLM United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language
What you'll be doing:
Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.
Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.
Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
PhD in Computer Science or Computer Engineering (or equivalent experience).
At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects
A history ofresearch successexemplified by a strong publication record and awards.
Excellent knowledge of theory and practice of deep learning and natural language processing.
Background in LLM training, alignment, and evaluation is expected.
Excellent programming skills in Python and PyTorch.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Excellent communications skills.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Research Scientist Programming Systems - New College Grad United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
What you’ll be doing:
Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.
Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.
Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.
What we need to see:
Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.
Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.
Expertise in parallel programming and algorithmic techniques.
Strong programming ability in one or more of the following languages: C, C++, Rust and Python.
Track record of research excellence and publications that demonstrate your body of work.
Relevant research and software development experience.
Ways to stand out from the crowd:
Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.
Ability to implement ideas in the CUDA programming model.
Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.
Prior success in building software systems used by other developers to solve their own problems.
You will also be eligible for equity and .
These jobs might be a good fit
Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact
Your Impact
- AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications.
- Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems.
- System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications.
- Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations.
- Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers.
- Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence.
- Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions.
- Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring.
- Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.
Your Experience
8+ years in software engineering, with 5+ years in Data science/AI/ML experience.
Experience deploying enterprise AI/ML systems.
Understanding of the AI lifecycle.
Experience with distributed systems and streaming data.
Hands-on experience with Generative AI and LLMs.
Proficiency in AI/ML frameworks and cloud platforms.
Strong programming skills (Python and C++).
Excellent communication skills.
Masters/Bachelors degree in Computer Science or related field.
Preferred Qualifications:
PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field.
Experience with open-source AI projects.
Prior technical lead role for AI/ML projects.
Familiarity with cybersecurity principles for AI.
What we are looking for?
Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn).
Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact.
System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles.
Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts.
Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction.
Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams.
Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes.
Continuous Learning: Passion for staying up-to-date with the latest advancements in AI.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165,000 - $250,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit
