Sr Scientist, Tech Job at Uber (San Francisco)

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Boston

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Seattle

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Senior Machine Learning Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior AI Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

Finland , Tampere

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior AI Research Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United Kingdom , London

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Sr. Scientist, CMC Analytical

We’re seeking an experienced Sr. Scientist, CMC Analytical to serve as the SME i...

Location

United States

Salary:

125000.00 - 145000.00 USD / Year

Loyal

Expiration Date

Until further notice

Requirements

Bachelor’s or Advanced degree (master’s or Ph.D.) in Analytical Chemistry, Chemistry, Biochemistry or a related field
Animal Health experience strongly preferred
6+ years of experience in quality control laboratory, analytical or method development, with significant experience with small molecules preferred
Deep and broad knowledge of analytical chemistry in support of small molecule release and stability method development, raw material control, in process control, and characterization
Prior experience managing CDMO relationships, tech transfer, and Quality Control programs desired
Deep understanding of cGMP, ICH/VICH, FDA, and EMA analytical expectations
Proven track record of QC data interpretation and support of regulatory filings
Creative and thoughtful approach to problem solving technical issues
Ability to quickly learn new concepts and processes
Adaptability, creativity and high-performer in risk-assessment and strategic thinking

Job Responsibility

Perform in-depth review and interpretation of analytical data (HPLC/UPLC, Dissolution, KF, GC, etc) across release and stability programs
Identify subtle trends, shifts, or outliers in complex data sets that may impact product quality, method robustness, or long-term stability
Provide expert technical input during OOS, OOT, and atypical result investigations, ensuring scientifically sound conclusions
Lead trending of release and stability data across programs, highlighting emerging quality signals and risks
Review and assess data from method development, transfer, qualification, and validation activities
Ensure Quality Control data packages are complete, scientifically defensible, and compliant with cGMP and regulatory expectations

What we offer

Full-coverage health insurance — medical, dental and vision — for you and your dependents
$1,000 home office equipment stipend
$1,200/year learning budget for books, courses, etc.
$250/month wellness budget for gym, cleaners, spa, food, etc.
All 3-day weekends are turned into 4-day weekends
Unlimited vacation and paid holidays
Paw-ternity leave — adopt a dog and get a day off with your new family member
Competitive salary
Company equity options grant for new hires

Fulltime

Sr. Applied Scientist, Trustworthy Shopping Experience (TSE)

Are you passionate about solving complex business problems at scale through Gene...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team

Job Responsibility

Design and build next-generation agentic AI systems that think, plan, and act—capable of multi-step reasoning, dynamic tool use, and autonomous task execution that transforms how investigations are conducted
Invent novel solutions across the AI frontier: autonomous reasoning, self-supervised representation learning, few-shot adaptation, feedback-driven optimization, and multimodal intelligence
Develop deep expertise in research areas strategic to the organization while maintaining solid understanding across adjacent domains
Identify and frame ill-defined customer and business problems, devising new research methodologies using a customer-obsessed scientific approach
Tackle ambiguous, high-impact challenges where the problem itself isn't yet fully defined—and shape the science roadmap that solves them
Automate complex investigation workflows involving unstructured text, documents, images, symbols, and rich relational data—directly impacting hundreds of millions of customers
Anticipate and articulate key scientific challenges of current and future customer needs, proactively presenting interventions to address them
Drive ideas from whiteboard sketch to production system—prototype rapidly, iterate relentlessly, and deploy solutions that scale
Engineer efficient, production-ready systems by distilling models into lightweight, cost-effective deployments without sacrificing capability
Build a proven track record of repeatedly delivering innovative, impactful scientific solutions into production

Sr. Product Manager - AI

In this role, you will be joining the Product Management team reporting to the S...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments
2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications
Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas
Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes
Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy
Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers
Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption
Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed

Job Responsibility

You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability
You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects
You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products
You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts
Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence
Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth
Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights
Validate new capabilities with customers using prototypes, mockups, and early betas
measure adoption and iterate quickly
Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency)

Fulltime

Sr Scientist, Tech

Uber

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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