CrawlJobs Logo

Applied AI/ML Scientist

United Arab Emirates · Job Posted February 17, 2026
Apply Position
Job Link Share

Job Description

As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the applied side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems.

Job Responsibility

  • Customer Use Case Discovery & Project Scoping
  • Collaborate with customer stakeholders to identify the best approaches to their business problem with AI
  • Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures
  • Define project milestones, success metrics, and rigorous evaluation benchmarks
  • Custom SOTA Models and AI Systems Development
  • Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements
  • Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO
  • Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis
  • Navigate the nuances of model convergence on specialized hardware
  • Scale training workloads across Cerebras clusters
  • Build and optimize the core components of agentic systems
  • Technical Customer Leadership
  • Serve as an AI/ML subject matter expert during technical deep-dives
  • Build and maintain strong customer relationships
  • Internal Research and Engineering Collaboration
  • Act as the voice of the customer for internal R&D and engineering teams
  • Partner with internal ML teams and product teams on prioritization of novel model architectures
  • Distill customer-facing successful projects into internal playbooks

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, or related fields
  • Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics
  • Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training
  • Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools
  • Strong interpersonal and communication skills
  • Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve

What we offer

  • Build a breakthrough AI platform beyond the constraints of the GPU
  • Publish and open source their cutting-edge AI research
  • Work on one of the fastest AI supercomputers in the world
  • Enjoy job stability with startup vitality
  • Our simple, non-corporate work culture that respects individual beliefs

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Applied AI/ML Scientist

8 matching positions

Applied AI/ML Scientist

Sprout Social is looking for an Applied AI/ML Scientist to join its AI Business ...
Location
Location
Canada
Salary
Salary:
116000.00 - 159500.00 CAD / Year
Sprout Social
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A track record of supporting customer-centric development of AI/ML solutions that resulted in quantifiable business impact
  • 2+ years of applied experience in AI/ML and data science, working with technical and non-technical stakeholders to drive impactful solutions
  • 2+ years of experience developing models in Python using ML frameworks (e.g. PyTorch, TensorFlow, XGBoost, LGBM, NumPy, pandas) and strong proficiency in SQL and RESTful APIs for querying, transforming, and analyzing large datasets to drive product vision
  • Expertise in analytical, statistical, and AI/ML methods, with a focus on shipping solutions that drive significant product improvement, resolve customer pain points, and demonstrably enhance user experiences
  • Experience building with transformer architectures and leveraging embeddings
Job Responsibility
Job Responsibility
  • Design, develop, and deploy customer-centric features that leverage data science, machine learning (ML) and generative AI technologies
  • Contribute to tangible, quantifiable, and measurable impact on Sprout Social’s highest priority AI initiatives, directly benefiting our customers and driving key business outcomes
  • Develop robust frameworks for evaluation and measurement of AI features to increase speed, improve quality, and provide demonstrable ROI of product enhancements
  • Collaborate closely with product management, design, and software engineering partners to deliver high quality AI solutions quickly and confidently
  • Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, customer needs, and product vision
What we offer
What we offer
  • 100% Employer-Paid Health Benefits: comprehensive medical, dental (basic & major), vision, life insurance, and disability
  • Generous Paid Time Off: 25 days of vacation annually, plus 5 paid sick days, all public holidays, and additional company-wide Rest & Recharge days
  • Premium Mental Health Support: Full, free access to Modern Health for you and your dependents, including coaching, therapy sessions, and digital wellness resources
  • Annual Lifestyle Stipend: A $950 CAD annual Lifestyle Spending Account to spend on your physical, mental, and financial well-being
  • Remote Work Support: A one-time $550 USD (equivalent) stipend to set up your home office, plus a monthly $50 USD (equivalent) stipend for internet
  • Personalized Financial Wellness: No-cost, confidential access to financial experts through Your Money Line to support your personal financial goals
  • Family & Care Support: Access to subsidized child and eldercare options through Care.com
  • Charitable Giving: A company match for your donations to eligible organizations
  • Fulltime
Read More
Arrow Right

Applied Scientist / Senior Applied Scientist

Do you want to help build innovative tools that empower AI Agents to achieve the...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND years related experience (e.g., statistics, predictive analytics, research)
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated years of related experience (e.g., statistics, predictive analytics, research)
  • equivalent experience
  • Proven years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
  • Proven years of experience with transformer-based models (e.g., GPT, Llama)
  • Coding and hands-on experience working with foundation models
  • Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes
  • Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Job Responsibility
Job Responsibility
  • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
  • Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
  • Serving as a bridge between research and product
  • Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
  • Many of the things you will try should lead to unexpected outcomes
  • You must be comfortable learning from experience, developing new hypotheses, and iterating
  • Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
  • Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • Fulltime
Read More
Arrow Right

Sr. Applied AI/ML Scientist

NewsWhip by Sprout Social is looking for a Senior Applied AI/ML Scientist to joi...
Location
Location
Ireland
Salary
Salary:
Not provided
Sprout Social
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience building and operating production software systems
  • 2+ years hands-on experience shipping LLM-powered features in real-world applications
  • Strong backend engineering skills (Python preferred)
  • Experience with several of the following: Large Language Model APIs (OpenAI, Anthropic, open-weight models, etc.) and transformer-based techniques
  • Embedding models and similarity search
  • Vector databases (ChromaDB, Pinecone, Weaviate, etc.)
  • Prompt engineering and structured output techniques
  • LLM evaluation frameworks and automated testing
  • LLMOps practices (monitoring, versioning, observability using Langfuse, Datadog, etc.)
  • Track record of owning a system end-to-end in production, not just contributing to one
Job Responsibility
Job Responsibility
  • Build and Ship LLM-Powered Features
  • Drive Quality, Evaluation, and Observability
  • Retrieval, Embeddings, and Semantic Infrastructure
  • Lead Technically and Influence Cross-Functionally
What we offer
What we offer
  • Comprehensive Private Health & Dental
  • Pension Scheme (1-to-1 match up to 6% of salary)
  • Life & Disability Insurance
  • Generous Paid Time Off: 25 days of leave, plus all public holidays and additional company-wide Rest & Recharge days
  • Paid Parental Leave: 26 weeks full pay for birthing parents, 16 weeks full pay for non-birthing parents
  • Family & Care Support
  • Premium Mental Health Support
  • Lifestyle Spending Account (LSA): $700 USD annually
  • Work From Home Support: $550 USD one-time stipend, $50 USD monthly internet stipend
  • Charitable Giving
  • Fulltime
Read More
Arrow Right
New

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right
New

Applied Scientist II

Frontier Tuning aims to fine-tune frontier LLMs on enterprise data, enabling tas...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • 1+ years of experience training/fine tuning AI/ML models, preferably large language models
  • 1+ years of experience building Generative AI pipelines, e.g. with RAG
  • 1+ years of experience with Python and/or PyTorch
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Train and deploy Language Models adapted to specific industry needs
  • Create and adapt novel training and fine-tuning algorithms for language models with special focus on reinforcement learning for long-horizon dynamic workflow
  • Research innovation and scholarly dissemination: conceive and execute research projects that advance training methodologies
  • write and submit peer-reviewed papers or preprints
  • and present work at conferences
  • Drive end-to-end translation of research into product capabilities, leading projects from ideation and prototyping through production integration and measurable customer impact
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree and 5+ years of applied research experience
  • Specialization in machine learning, Deep Learning, NLP, Computer Vision, GenAI or related fields
  • Strong working knowledge of programming languages such as C/C++, Java, or Python
  • Proven ability to relate to and solve business problems through machine learning, data mining and statistical algorithms
  • Published and/or presented papers at ACL, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events
  • Technical fluency
  • comfort understanding and discussing architectural concepts and algorithms, schedule trade-offs and new opportunities with technical team members
  • Strong problem solving skills
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right