Senior Machine Learning Researcher Job at RTB House (Poland)

Senior Machine Learning Researcher - MSR AI for Science

At Microsoft Research AI for Science, we believe machine learning and artificial...

Location

United Kingdom , Cambridge

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

PhD or equivalent research experience in Computer Science, Machine Learning, Physics, Chemistry, or a related field
Demonstrated leadership in ML architecture and algorithm design
Strong expertise in deep learning (model design, large-scale training, evaluation and reproducibility), statistics and linear algebra
Proficiency in Python and modern ML/scientific frameworks (e.g., PyTorch, JAX, TensorFlow, NumPy, SciPy, Pandas)
Peer-reviewed publications in leading venues (e.g., NeurIPS, ICML, ICLR or leading journals)
Excellent technical communication for collaborating in an interdisciplinary team
Curiosity and drive to apply deep learning to problems in biology or chemistry
Comfort with real‑world, noisy/heterogeneous data

Job Responsibility

Invent novel deep learning techniques for models of (bio)molecular structure, dynamics, reactivity and function
Design, implement, and iterate on model architectures and training algorithms (e.g., diffusion/sequence–structure models, language models, representation learning)
run rigorous ablations and baselines
Define success where standards don’t exist yet: proposing sound benchmarks and uncertainty‑aware metrics that reflect real‑world utility
Build high‑quality research code (Python/PyTorch) with reproducible workflows and robust data pipelines
Partner across disciplines—communicate clearly with ML researchers and experimental/computational biologists/chemists
present results and influence direction
Work autonomously and as a team player, reporting insights, risks, and next steps with crisp written/visual summaries
Thrive with imperfect, heterogeneous data, using principled curation, augmentation, and probabilistic evaluation
Aim for impact: try ideas quickly and fail-fast when they don't work. Rapidly convert working ideas to artifacts others can use (code, models, datasets, papers, patents)

Fulltime

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

Senior Researcher - Machine Learning for Health and Life Sciences

Health Futures is a mission-focused organization within Microsoft Research, work...

Location

United Kingdom , Cambridge

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience OR equivalent experience
Expertise in machine learning for scientific discovery, including any of the following: Interpretability (post-hoc, ante-hoc, mechanistic), Reasoning and inference-time optimization, Experimental design, Other uses of AI for scientific discovery
Expertise in multimodal and large-scale deep learning in computational biology and medicine, including model design, training (such as post-training, including reinforcement learning), and/or evaluation
Experience developing software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences
Experience working with biological data such as transcriptomics, microscopy, and other -omics modalities
Experience creating robust, reproducible technical artifacts as part of an interdisciplinary team
A track record of scientific publication in any of the above domains

Job Responsibility

Design, implement, and evaluate novel methodology for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design
Conduct rigorous investigations into the capabilities of deep learning models in the realm of health and life sciences research
Participate in reproducible and collaborative team-based technical research
Communicate research findings internally and externally

Fulltime

Senior Researcher - Artificial Intelligence and Machine Learning

We are seeking applicants in Microsoft Research New England (Cambridge, MA) for ...

Location

United States , Cambridge

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate (or currently pursuing) in machine learning, artificial intelligence, statistics, or a related field or equivalent experience
Research ability demonstrated by conference publications, journal publications, or preprints
A complete application packet should include: Your CV listing all peer-reviewed publications and preprints
At least 3 reference letters
Your research statement outlining your research achievements and agenda

Job Responsibility

Define your own research agenda, driving forward an effective program of basic, fundamental, and applied research
Collaborate and build new ideas with members of the group and others
Have the direct opportunity to realize your ideas in products and services used worldwide

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Senior Machine Learning Engineer

Job Requirement – Senior Machine Learning Engineer. Location – Delhi / Bangalore...

Location

India , Delhi / Bangalore

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline
PhD’s preferred
Specialization or research in applied machine learning, MLOps, or ML systems preferred
7+ years of experience designing, developing, and deploying ML models in production environments
4+ years of experience in building predictive models like classification, time series modelling etc.
1+ year of experience in areas such as recommendation systems, pattern recognition, NLP
Experience with production-grade Python (preferred), as well as Java or C/C++
Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Fulltime

Senior Machine Learning Scientist

We are looking for a Senior Machine Learning Scientist to lead machine learning ...

Location

United Kingdom , Oxford

Salary:

65000.00 - 70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

PhD in a relevant field, with industry experience
Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit-learn)
Proficiency with version control and good software engineering practices
Deep expertise in machine learning and experimental methodology
Strong track record of applied problem-solving
Experience planning and delivering complex machine learning projects
Ability to operate with minimal guidance in ambiguous problem spaces
Evidence of significant research achievement

Job Responsibility

Lead ML strategy and technical execution for major projects
Design novel or advanced modelling approaches as needed
Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications
Write, review, and take responsibility for technical documentation, reports, and algorithm specifications
Translate research concepts into proof-of-concepts, working prototypes and scalable solutions
Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices
Collaborate with internal teams on product development

Senior Machine Learning Scientist (Experiences)

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
Proven ability to tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems
Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable
Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools

Job Responsibility

Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist 'off-the-shelf,' breaking down massive research goals into deliverable, iterative milestones
Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation
Tailor Golden Datasets and leaderboards with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions
Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases, and confidence thresholds—to enable SWE partners to build robust fallback systems
Diagnose complex algorithmic bugs and implement automated checks for 'Silent Failures' (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions
Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums
Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates

Fulltime

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Senior Machine Learning Researcher

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