Machine Learning Researcher Job at RTB House

Machine Learning Researcher

RTB House is a global company that provides state-of-the-art marketing technolog...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience with Machine Learning / Data Science
Interest and willingness to constantly develop in the area of Machine Learning
Knowledge of statistics and probability
Proficiency in programming
Experience in the ML industry
Experience in designing recommendation systems
Practical knowledge of the tools we use

Job Responsibility

Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
Analysis of the latest works in the field of Machine Learning
Conducting and analyzing A/B tests of new solutions
Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions

What we offer

A very attractive salary
Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can
you can work fully remotely
Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project
Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
The effects of your work immediately visible in the company's business results
Possibility to publish your results

Senior Computer Vision and Machine Learning Research Scientist

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

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

Machine Learning Research Intern

We are looking for a Machine Learning Research Intern to join the Doctolib’s Art...

Location

France , Levallois-Perret

Salary:

Not provided

VO2 Group

Expiration Date

Until further notice

Requirements

Master's student with practical experience working on ML problems
Strong programmer (we use Python)
Enthusiastic about collaborative work
Eager to ask questions, admit mistakes, and learn new things
Interested in improving healthcare through technology
Fluent in English and French

Job Responsibility

Develop and experiment with machine learning models to solve real-world healthcare challenges
Collaborate with ML engineers and researchers on applied research projects
Participate in improving medical practice efficiency through AI
Explore new model architectures and data processing techniques

What we offer

Lunch voucher with Swile card
Work Council subsidy to refund part of sport club membership or creative class
Reimbursement of public transportation

Senior Machine Learning Research Scientist

We are seeking multiple highly skilled and innovative Computer Vision and Machin...

Location

Finland , Tampere

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence
Proven track record of research excellence in machine learning, computer vision, robotics perception, 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

Convert and Ship CVML R&D ideas to Axon Products
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources
Design and implement efficient and scalable MLLM models for inference and analysis of visual data
Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding
Optimize 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 MLLM 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
Experience 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

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

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Machine Learning Research Intern

We are looking for a Machine Learning Research Intern to join the Doctolib’s Art...

Location

France , Levallois-Perret

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Master's student with practical experience working on ML problems
Strong programmer (Python)
Enthusiastic about collaborative work
Eager to ask questions, admit mistakes, and learn new things
Interested in improving healthcare through technology
Fluent in English and French

Job Responsibility

Develop and experiment with machine learning models to solve real-world healthcare challenges
Collaborate with ML engineers and researchers on applied research projects
Participate in improving medical practice efficiency through AI
Explore new model architectures and data processing techniques

What we offer

Lunch voucher with Swile card
Work Council subsidy to refund part of sport club membership or creative class
Reimbursement of public transportation

Quantitative Researcher - Machine Learning

Akuna’s Quantitative Trading and Research team is looking to add experienced Qua...

Location

Australia , Sydney

Salary:

Not provided

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

3+ years' strong professional work experience in statistics, machine learning, option trading or related area
Hands on experience using a modern ML tool in a trading application
Bachelors, Masters or PhD in a technical field –Statistics, Computer Science, Mathematics, Physics, Engineering (or a related subject), must be completed upon employment
Proven research background in academic or professional environment
Experience building mathematical models for complex real-world problems
Expertise in Math and statistics
Strong Python programming skills
Machine Learning/Data Science experience with modern and classic ML tools such as Neural Networks, Tree models, and Ensemble Learning, applied to large and complex data sets in a trading application.

Job Responsibility

Develop trading strategies using statistical and machine learning algorithms
Design, conduct, and analyse experiments for a deep understanding of derivatives and financial markets
Build metrics to evaluate strategy execution and perform post trade analysis
Design and implement optimization algorithms for portfolio construction
Develop quantitative models describing market behavior
Advance existing initiatives and explore opportunities for new research topics

Machine Learning Researcher

RTB House

Location:
Poland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 13, 2026

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Job Posted:January 13, 2026

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