Senior Research Engineer Machine Learning, AI for Science Job at Microsoft Corporation (Berlin)

Senior Research Engineer in Materials - AI for Science

Microsoft Research AI for Science is seeking a talented research engineer to joi...

Location

United Kingdom , Cambridge

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

PhD in computational materials science, computational chemistry, condensed matter physics, machine learning, or related area, or comparable industry experience
Experience in developing high-throughput DFT workflows and scaling them to tens of thousands of materials
Proficiency in collaborative code development in Python on shared codebases
Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.)
Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Job Responsibility

Design and generate novel datasets for training deep learning models for materials design
Develop and deploy scalable DFT workflows for large scale data generation
Manage and enhance data infrastructure to support scalable and efficient data generation workflows
Validate the accuracy and physical correctness of DFT simulation results
Prepare technical papers, presentations, and open-source releases of research code

Fulltime

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 9 -10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Proficiency in using agentic frameworks like langGraph or similar other frameworks
Knowledgeable in lineage tracking of agentic architectures
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Provides technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Staff Machine Learning Engineer – Moonshot AI

The Moonshot AI team sits within Uber AI Solutions where we are building an ente...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience developing and shipping production machine learning models
Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
Deep expertise across multiple areas: Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
Extensive experience with distributed training infrastructure, large-scale model development, and ML platform design
Demonstrated ability to collaborate with product, engineering, and data science leadership on technical roadmaps and strategic priorities
Excellent problem-solving abilities with deep ML methodology expertise

Job Responsibility

Shape the technical vision and roadmap for Moonshot AI's ML initiatives
Architect foundational ML platforms and systems for marketplace optimization and annotation automation
Drive end-to-end ML solutions from conception through production deployment
Lead GenAI innovation: design and implement cutting-edge systems using custom SLMs, computer vision, and LLMs
Advance AI research capabilities: establish research direction, design benchmarks, contribute to research and publications
Build industry-leading evaluation frameworks: architect LLM-as-Judge systems and automated quality assessment platforms
Provide technical leadership across Uber AI Solutions
Mentor and develop engineering talent
Enable cross-functional impact

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Machine Learning Engineer, Simulation Evaluation

Waymo is an autonomous driving technology company with the mission to be the wor...

Location

United States , Mountain View

Salary:

213000.00 - 263000.00 USD / Year

a16z

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field
Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications
Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch
Experience designing and implementing evaluation frameworks for complex systems or machine learning models.

Job Responsibility

Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo
Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation
Evaluate open-source and production-ready video generation techniques that measure realism (e.g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.)
Apply vision language models to evaluate semantic understanding and controllability across our world simulation products
Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems
Mentor engineers on the team and provide technical guidance on architecture and execution.

What we offer

Waymo’s discretionary annual bonus program
equity incentive plan
generous Company benefits program
Health and wellness
Financial wellness
Flexibility and time off

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

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

United States , Remote

Salary:

216700.00 - 303400.00 USD / Year

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Medical, dental, and vision insurance

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

Canada , Ontario

Salary:

Not provided

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle
Build scalable data and model pipelines
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

Fulltime

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Senior Research Engineer Machine Learning, AI for Science

Job Description

Job Responsibility

Requirements

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