Machine Learning Researcher Job at Kiddom (San Francisco)

Machine Learning Researcher

SRG are working with an early-stage start-up developing a new technology platfor...

Location

United Kingdom , Oxford

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree (or higher) in Machine Learning, Computer Science or relevant subject.
Strong Python software engineering skills.
Experience in Machine learning & mathematical models
Previous exposure to biology, biochemistry or drug discovery would be advantageous.

Job Responsibility

Design and develop machine learning and mathematical models for analysing experimental data
Implement proof-of-concept software in Python
Build and manage data pipelines from laboratory instruments through to analysis
Run, evaluate and iterate algorithms against defined technical metrics
Engage with broader scientific and technical challenges as they arise

Fulltime

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

Machine Learning Researcher

Susquehanna is expanding the Machine Learning group and seeking exceptional rese...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
Strong programming skills in Python and/or C++
Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
Hands-on experience applying deep learning on time series data
Strong foundation in mathematics, statistics, and algorithm design
Excellent problem-solving skills with a creative, research-driven mindset
Demonstrated ability to work collaboratively in team-oriented environments
A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Job Responsibility

Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
Design and run experiments using the latest ML tools and frameworks
Develop automation tools to streamline research and system development
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
Partner with engineering teams to implement and test models in production environments

What we offer

Collaborate with a world-class team of researchers, engineers, and traders
Gain access to best-in-class financial data and high-performance computing resources
Directly impact real-time trading performance through your work
Thrive in a collaborative, intellectually rigorous environment with a global footprint

Machine Learning Researcher

Susquehanna is expanding the Machine Learning group and seeking exceptional rese...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
Strong programming skills in Python and/or C++
Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
Hands-on experience applying deep learning on time series data
Strong foundation in mathematics, statistics, and algorithm design
Excellent problem-solving skills with a creative, research-driven mindset
Demonstrated ability to work collaboratively in team-oriented environments
A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Job Responsibility

Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
Design and run experiments using the latest ML tools and frameworks
Develop automation tools to streamline research and system development
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
Partner with engineering teams to implement and test models in production environments

Machine Learning Researcher

Susquehanna is expanding the Machine Learning group and seeking exceptional rese...

Location

United States , New York

Salary:

300000.00 USD / Year

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
Strong programming skills in Python and/or C++
Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
Hands-on experience applying deep learning on time series data
Strong foundation in mathematics, statistics, and algorithm design
Excellent problem-solving skills with a creative, research-driven mindset
Demonstrated ability to work collaboratively in team-oriented environments
A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Job Responsibility

Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
Design and run experiments using the latest ML tools and frameworks
Develop automation tools to streamline research and system development
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
Partner with engineering teams to implement and test models in production environments

What we offer

Collaborate with a world-class team of researchers, engineers, and traders
Gain access to best-in-class financial data and high-performance computing resources
Directly impact real-time trading performance through your work
Thrive in a collaborative, intellectually rigorous environment with a global footprint
Visa sponsorship is available for this position

Senior Machine Learning Researcher

Location

Poland , 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
C1 level in Polish

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

Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can
you can cooperate 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 cooperate immediately visible in the company's business results
Possibility to publish your results
Cooperation based on B2B contract or Contract of Mandate
You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow

Senior Researcher - Machine Learning: AI for Science

Microsoft Research AI for Science is seeking a talented machine learning researc...

Location

United Kingdom , Cambridge

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

PhD in computer science, machine learning, computational materials science or related area, or comparable industry experience
Track record of publications at top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, Nature/Science or relevant sub-journals)
Strong coding ability and proficiency in collaborative code development
Ability to quickly iterate between ideation, implementation and evaluation of new research ideas
Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Job Responsibility

Contribute to and drive an ambitious, high-impact, research agenda on machine learning for materials
Develop efficient and expressive machine learning models that address fundamental materials science problems
Work with domain experts to develop realistic machine learning metrics and benchmarks
Prepare technical papers and presentations

Fulltime

Staff Machine Learning Researcher

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
A relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

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