Senior Machine Learning Research Scientist Jobs

New

Senior Machine Learning Engineer

As an ML Engineer at Axon, you will contribute to developing AI solutions transf...

Location

United States , Seattle

Salary:

150750.00 - 221000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field
6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud
Experience with Infrastructure-as-code and cloud architecture
Proficiency in Python and C++
familiarity with ML frameworks such as TensorFlow, or PyTorch
Advanced knowledge and hands-on experience with Linux
Excellent problem solving skills and ability to dive deep into system architecture
Excellent software design skills
Comfort communicating and interacting with scientists, engineers and product managers

Job Responsibility

Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow
Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models
Architect platforms that accelerate research and AI product development
Collaborate with scientists in architecting and implementing state-of-the-art training techniques
Set high standards for ethical and responsible AI development

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

New

Senior Computer Vision and Machine Learning Research Scientist

We are seeking a skilled and innovative Senior Research Scientist to join one of...

Location

United States , Seattle

Salary:

159750.00 - 234300.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields
Proven track record of research in machine learning, computer vision or related fields
Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale
Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow
Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection
Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data
Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products
Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community
Coach and mentor junior scientists

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 Engineer (Health)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human p...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale

Job Responsibility

Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency
Collaborate with researchers and product teams to align model development with health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

What we offer

equity
benefits

Fulltime

Junior Data Scientist / Machine Learning Engineer

As a Junior Data Scientist / Machine Learning Engineer at Red Hibbert Group, you...

Location

United States

Salary:

25.00 USD / Hour

Red Hibbert Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong programming skills in Python and proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Solid experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn)
Strong understanding of statistical analysis and machine learning concepts
0-2 years of experience in machine learning, deep learning, or data science
Excellent analytical and problem-solving skills with strong communication abilities are required

Job Responsibility

Developing and implementing machine learning models
Conducting data analysis
Collaborating with cross-functional teams
Working on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation
Developing AI-driven solutions for our clients
Conducting research to improve existing ML systems
Working closely with senior team members to deliver high-quality solutions

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in the Central AI team, you will build and...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
Design system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers
Lead other engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results

What we offer

Health and wellbeing resources
Paid volunteer days

Fulltime

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing machine learning engineering teams
Proven track record of building and scaling machine learning models in business applications using large datasets
Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
Strong technical expertise in machine learning, data science, and system design
Excellent communication skills to explain complex concepts to diverse audiences
Agile mindset with a focus on iterative development and continuous improvement
A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

Job Responsibility

Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
Mentor and coach team members on best practices, technical skills, and career development
Hire, onboard, and retain top talent to build a high-performing team
Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
Define and execute the vision and strategy for the Knowledge Graph Team
Influence the strategic direction of machine learning initiatives across Atlassian's products
Ensure timely delivery of high-quality solutions that meet customer needs
Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly

What we offer

Health coverage
Paid volunteer days
Wellness resources.

Fulltime

Senior Machine Learning Research Scientist

Axon

Location:
Finland , Tampere

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 23, 2025

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Senior Machine Learning Research Scientist

Axon

Location:Finland , Tampere

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 23, 2025

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Location:
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