CrawlJobs Logo
AirOps Logo AirOps · IT - Software Development

Lead Applied Scientist

United States, New York City · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

As Lead Applied Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results. This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.

Job Responsibility

  • Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications
  • Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content
  • Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions

Requirements

  • 5+ years building production machine learning systems with demonstrated business impact
  • strong background in NLP and search/recommendation systems required
  • Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems
  • Proven ability to take models from research to production, including optimization for latency and cost at scale
  • Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems
  • Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority
  • Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes

What we offer

  • Equity in a fast-growing startup
  • Competitive benefits package tailored to your location
  • Flexible time off policy
  • Parental Leave
  • A fun-loving and (just a bit) nerdy team that loves to move fast!
AirOps - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Lead Applied Scientist

8 matching positions

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...
Location
Location
Costa Rica , Multiple Locations
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/Computer Engineering, or related field
  • OR equivalent experience in lieu of academic degrees
  • At least 5 years of experience in predictive analytics, statistics, or research
  • Experience with synthetic data generation and data management for evaluation/training
  • At least one year of experience publishing patents or peer-reviewed papers
  • Proficiency in English and cross-functional collaboration
  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI
Job Responsibility
Job Responsibility
  • Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
  • Write production-quality code, apply debugging best practices, and stay current with industry trends
  • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
  • Shape product direction by integrating rigorous scientific methods into the product lifecycle
  • 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
  • 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 Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • 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

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
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 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
  • Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
  • OR Master's Degree AND 4+ years related experience
  • OR Doctorate AND 3+ years related experience
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
  • Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
  • Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
  • Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
  • Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
  • Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
  • Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
  • Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
  • Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
  • Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist and Principal Applied Scientist

AI has created an unprecedented opportunity to make work better for hundreds of ...
Location
Location
United States , Multiple Locations
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A record of publications in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, KDD, WWW, CHI, PNAS, Nature, EMNLP, CVPR, ICCV, ECCV, CoRL)
  • Doctorate (or currently pursuing) in Computer Science, Electrical or Computer Engineering, Information Science, Statistics or related field AND 1+ years of experience
  • OR Master’s Degree AND 3+ years of relevant experience
  • OR Bachelor’s Degree AND 4+ years of relevant experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
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
  • Shape product direction by integrating rigorous scientific methods into the product lifecycle
  • 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
  • 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 Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • Fulltime
Read More
Arrow Right

Applied Scientist II / Senior Applied Scientist

The CoreAI Platform and Tools organization is building transformative experience...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience
  • OR Doctorate in Computer Science, Computational Linguistics, or related field
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those
  • Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents
  • Collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues
  • Fulltime
Read More
Arrow Right

Lead Applied Scientist Security Models Training Team

The Security Models Training team is expanding to drive the development of a new...
Location
Location
Israel , Tel Aviv, Herzliya
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
  • Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
  • Proven hands-on experience of at least 8 years (including post-grad work) in building and deploying Machine Learning products
  • Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
  • Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
  • Demonstrated ability to set long‑term technical strategy, align multiple teams, and serve as a technical decision‑maker for high‑risk, high‑impact investments
  • Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
  • Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
  • Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
  • Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios
Job Responsibility
Job Responsibility
  • Technical Leadership & Ownership: set technical direction for major security domain initiatives and align roadmaps across multiple teams
  • lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
  • translate cutting‑edge research into production‑ready capabilities
  • This role influences portfolio‑level technical tradeoffs, investment prioritization, and long‑term architecture decisions for security models
  • Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
  • making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
  • Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
  • Design & Evaluate Datasets – Build high-quality datasets and benchmarks
  • define objective evaluation frameworks and quality gates
  • run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions
  • Fulltime
Read More
Arrow Right
New

Junior Applied Scientist

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Educational background in a quantitative field
  • Masters degree or higher preferred
  • Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems
  • A solid theoretical foundation and practical exposure in at least one of the following areas: Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers)
  • Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations)
  • Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing)
  • Agentic AI & MCP evaluation frameworks
  • Proficiency in SQL and Python, with some exposure to working with datasets
  • Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders
  • A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions
Job Responsibility
Job Responsibility
  • Contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems
  • Be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions
  • Tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems
  • Assist in defining how we measure performance of MCP servers
  • Contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably
  • Follow ideas from initial research and prototyping to production
  • Learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs
  • Build platform-level services that scale across hundreds of diverse partners
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • 2 paid volunteering days per year
  • 27 days of vacation a year to start for full-time employees
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

Frontier Tuning is Microsoft’s AI customization platform that enables enterprise...
Location
Location
United Kingdom , Multiple Locations
Salary
Salary:
74700.00 - 122600.00 GBP / Year
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 advanced related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND solid related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND some related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • Experience contributing to research, open‑source systems, or production deployments involving model training or adaptation
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND advanced related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Design and develop methods to adapt foundation models (e.g., language, diffusion, or multimodal models) for enterprise‑specific tasks such as document understanding, workflow automation, or content generation
  • Contribute to one or more aspects of the post-training stack, including: Reinforcement learning or fine-tuning methods
  • Architectural or parameter‑efficient adaptation techniques
  • Inference‑time steering or controllability approaches
  • Tooling for evaluation, debugging, or model development
  • Privacy- or security‑preserving training techniques (e.g., differential privacy)
  • Harnesses
  • Implement and evaluate adaptation approaches under real‑world enterprise deployment constraints such as latency, safety, privacy, policy compliance, and compute efficiency
  • Partner with research and engineering teams to translate product or customer requirements into scalable model adaptation solutions
  • Explore post‑training techniques that improve domain specialization, tool use, planning, or agentic behaviors in enterprise environments
  • Fulltime
Read More
Arrow Right