CrawlJobs Logo

Senior Machine Learning Scientist (Generative AI)

tripadvisor.com Logo

Tripadvisor

Location Icon

Location:
United Kingdom; Poland

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

About Viator: Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember.

Job Responsibility:

  • Research, prototype, and productionize generative AI models
  • Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
  • Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
  • Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
  • Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
  • Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
  • Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
  • Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
  • Stay up to date with the latest in GenAI research and help shape internal best practices
  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
  • Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives
  • Investigate and adopt innovative concepts that offer tangible benefits

Requirements:

  • 5+ years of hands-on data science experience
  • At least 2 years of experience with LLM
  • Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
  • In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
  • Strong skills in SQL
  • Strong skills in at least one programming language
  • Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
  • Experience in deploying online solutions and analysing real-time results through A/B testing
  • Passionate about mentoring junior members of the team
  • Leadership qualities, autonomy, and team collaboration skills
  • Clear communication skills, awareness of the audience, and proactive sharing of findings
  • Actively involved in business networking and able to communicate complex ideas across the business simply and effectively

Nice to have:

  • Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines
  • Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM)
  • Prior experience in e-commerce or at an Online Travel Agency
What we offer:
  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
  • “Work your way” with flexibility to suit your lifestyle
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit (annual benefit to spend on yourself)
  • Travel perks
  • Employee assistance program
  • Health benefits

Additional Information:

Job Posted:
January 07, 2026

Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Machine Learning Scientist (Generative AI)

Senior Data Scientist - AI Modeling

As a Senior Data Scientist specializing in AI Modeling, you will develop and imp...
Location
Location
United States
Salary
Salary:
104000.00 - 143000.00 USD / Year
https://www.baxter.com/ Logo
Baxter
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in STEM or a similar quantitative analytics field
  • 4+ years of professional experience with a variety of data products/data science model/algorithm development and implementing in production
  • Software development experience
  • Experience with healthcare data and working in a HIPAA regulated environment preferred
  • Experience with varying database structures and large datasets preferred
  • Experience with modern data science tools including Spark, Scala, Python, Databricks, and more
  • Experience in Microsoft Azure cloud environment preferred
  • Proficiency with developing data visualization technology and capabilities such as Power BI and Tableau
  • Entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.
Job Responsibility
Job Responsibility
  • Development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems, and optimize user experiences
  • Conduct research to stay at the forefront of AI advancements
  • Predictive and generative AI Modeling
  • Formulate problem statements and hypotheses for diverse business challenges
  • Create Spark & Python code in Databricks to retrieve data and create actionable insights
  • Prepare data for effective model training
  • Develop, train, and evaluate predictive AI models
  • Continuously refine and optimize models
  • Deploy models into production environments and supervise their performance
  • Identify opportunities for generative AI models
What we offer
What we offer
  • Comprehensive compensation and benefits packages
  • Health and dental coverage starting on day one
  • Basic life, accident, short-term and long-term disability insurance
  • Business travel accident insurance
  • Employee Stock Purchase Plan (ESPP) with discounted company stock
  • 401(k) Retirement Savings Plan with employee contributions and company matching
  • Flexible Spending Accounts
  • Educational assistance programs
  • Paid holidays
  • Paid time off ranging from 20 to 35 days
  • Fulltime
Read More
Arrow Right

Senior Generative AI Data Scientist

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...
Location
Location
Israel , Tel Aviv
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., master’s or equivalent experience in a relevant field (Computer Science, Machine Learning, etc.)
  • Very strong experience in Machine Learning, delivering complex solutions to production
  • Proven hands-on experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
  • Strong proven delivery track record
  • In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar
  • Proficiency in programming languages such as Python
  • Excellent problem-solving skills and the ability to think creatively
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Publications and contributions to the AI research community are a plus
  • Experience in high tech or financial industry is beneficial but not mandatory.
Job Responsibility
Job Responsibility
  • Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team
  • Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field
  • Model Delivery to Production: Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks
  • Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives
  • Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs, and other relevant technologies
  • Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services
  • Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation
  • Stakeholder Engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation
  • Regulatory Compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
136000.00 - 261050.00 GBP / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United States , Redwood City; San Diego
Salary
Salary:
260950.00 - 509450.00 USD / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
Read More
Arrow Right

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...
Location
Location
United Kingdom , Edinburgh
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree, or a PhD and experience in quantitative field research
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  • 5+ years of experience in applied selection research, job analysis, test development, and validation
  • Foundational skills in conducting experimental research studies and data analysis
  • Proficiency in scripting for data analysis (e.g., R, Python)
Job Responsibility
Job Responsibility
  • Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
  • Match potential candidates to the jobs they’ll be most successful in
  • Conduct validation research for top-of-funnel AI-based evaluation tools
  • Develop and implement novel research strategies using the latest technology
  • Build solutions while experiencing Amazon’s customer-focused culture
  • Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems
Read More
Arrow Right

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience building Machine Learning and AI solutions (4+ years)
  • Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
  • Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
  • Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
  • Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models
Job Responsibility
Job Responsibility
  • Collaborate with software engineers, data scientists, and product managers to solve complex problems
  • Lead projects from technical design through launch
  • Partner with teams to achieve impactful results
  • Deliver robust ML solutions to build AI features reaching millions
  • This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
  • Mentor junior members of the team
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Data Scientist - AI Modeling

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating an...
Location
Location
United States
Salary
Salary:
104000.00 - 143000.00 USD / Year
https://www.baxter.com/ Logo
Baxter
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field
  • 4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production
  • Software development experience
  • Experience with healthcare data and working in a HIPAA regulated environment preferred
  • Experience with varying database structures and large datasets preferred
  • Experience with modern data science tools, such as Spark, Scala, Python, Databricks
  • Experience in Microsoft Azure cloud environment is preferred
  • Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
  • Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers
  • Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables
Job Responsibility
Job Responsibility
  • Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
  • Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services
  • Predictive and generative AI Modeling
  • Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems)
  • Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights
  • Prepare data for effective model training
  • Develop, train, and evaluate predictive AI models using various tailored to specific problems
  • Continuously refine and optimize models for performance, scalability, and efficiency
  • Deploy models into production environments and supervise their performance
  • Identify opportunities where generative AI models can add value
What we offer
What we offer
  • Comprehensive medical and dental coverage starting on day one
  • Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
  • Employee Stock Purchase Plan (ESPP) with discount
  • 401(k) Retirement Savings Plan with employee contributions and company matching
  • Flexible Spending Accounts
  • Educational assistance programs
  • Paid holidays
  • Paid time off ranging from 20 to 35 days based on length of service
  • Family and medical leaves of absence
  • Paid parental leave
  • Fulltime
Read More
Arrow Right

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
  • 9+ years of experience in AI/ML engineering or related roles
  • 3+ years of experience in Generative AI with team leadership responsibilities
  • Proven track record of production-grade ML and GenAI model development and deployment
  • Programming: Python (preferred)
  • GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
  • Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
  • Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
  • MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
  • Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
  • Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
  • Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
  • Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
  • Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
  • Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
  • Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
  • Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
  • Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
  • Work closely with cross-functional teams to gather requirements and deliver high-quality solutions
What we offer
What we offer
  • Competitive salary aligned with market standards
  • Opportunities for professional development and skill enhancement
  • A collaborative and innovative work environment
  • Fulltime
Read More
Arrow Right