CrawlJobs Logo

Manager, Machine Learning Research Scientist, GenAI

United States, San Francisco 239400.00 - 299300.00 USD / Year · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

Job Responsibility

  • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)
  • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution
  • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes
  • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally
  • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent
  • Stay deeply connected to the research community, understanding major trends, and helping set them
  • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results

Requirements

  • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains
  • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
  • Experience and track of recording in landing major research impacts in a fast-paced environment
  • Experience leading or managing research teams. You’re excited to mentor, coach and develop talent
  • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders

What we offer

  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO

Looking for more opportunities?

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

Similar Jobs for

Manager, Machine Learning Research Scientist, GenAI

8 matching positions

AI Machine Learning Scientist

Location
Location
United States of America , INDIANAPOLIS
Salary
Salary:
Not provided
elevancehealth.com Logo
Elevance Health
Expiration Date
July 15, 2026
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study
  • Four (4) years of Information Technology (IT) experience, or related experience
  • Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering)
  • Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning
  • Experience using Python programming language
  • Experience with big data technologies including Hadoop, Apache Spark, and AWS
  • Experience with relational database management and SQL
  • Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification
  • Experience with statistical analysis and application of statistical methods
  • Employer will accept a Master’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.
Job Responsibility
Job Responsibility
  • Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement
  • Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals
  • Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models
  • Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company’s AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering
  • Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers
  • Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications
  • Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems
  • Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT
  • Mentor junior team members and influence the strategic direction of our ML and data science projects.
What we offer
What we offer
  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • Fulltime
!
Read More
Arrow Right

Director, Enterprise Machine Learning & Research

The Enterprise ML team works on the front lines of the AI revolution, partnering...
Location
Location
United States , San Francisco, CA; New York, NY
Salary
Salary:
289800.00 - 362250.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains
  • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
  • Experience and track of recording in landing major research impacts in a fast-paced environment
  • Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
  • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
  • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Job Responsibility
Job Responsibility
  • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
  • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
  • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
  • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
  • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
  • Stay deeply connected to the research community, understanding major trends, and helping set them.
  • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Staff Applied Research Scientist - Martech AI

We are seeking a highly experienced and strategic Staff Applied Research Scienti...
Location
Location
United States , New York City; Palo Alto; Chevy Chase; Dallas; Seattle; Chicago; Austin
Salary
Salary:
130000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, PhD is preferred
  • At least 6+ years of professional experience delivering applied AI/ML solutions in production, including leading cross-functional initiatives with enterprise impact
  • Demonstrated ability to leverage LLMs and agentic AI systems to develop and deploy personalized marketing solutions, including individualized content generation, campaign targeting, and optimization of customer engagement/retention/conversion strategies
  • Strong proficiency in Python and SQL
  • deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Demonstrated experience establishing KPI frameworks, experimentation, and causal analysis to quantify model impact and inform prioritization
  • Excellent stakeholder management skills with a track record of driving alignment and adoption across product, engineering, and business teams
  • Strong written and verbal communication skills
  • ability to set the right context and explain complex technical topics to varied audiences, including executives
Job Responsibility
Job Responsibility
  • Identify High-Impact Opportunities: Proactively surface and shape high-value AI/ML initiatives by engaging with product, engineering, and operations to align technical roadmaps with strategic business goals
  • Architecture & Technical Direction: Provide architectural leadership for AI/ML solutions impacting multiple stakeholders. Establish standards for scalability, reliability, observability, compliance, and cost efficiency across online and batch systems
  • Development & Productionization: Lead end-to-end delivery of AI/ML solutions, including model design, data pipelines, feature stores, evaluation, deployment, A/B testing, and monitoring in real-time and batch environments. Ensure clear plans, milestones, and on-time delivery
  • ROI Measurement & Experimentation: Establish robust mechanisms to quantify business impact, including KPI definition, experimentation frameworks, and causal inference approaches to guide decision-making and prioritize investments
  • Innovation & Research Integration: Stay current with cutting-edge research in ML, GenAI, and optimization. Prototype and harden novel techniques that push the boundaries of innovation within GEICO’s insurance ecosystem
  • Set technical direction for multi-quarter research initiatives
  • build evaluation frameworks, ensure reproducibility/responsible AI, and drive cross-functional adoption
  • shepherd patents
  • Cross-Functional Collaboration: Champion collaboration across Product, Engineering, Data Platform, Governance, Legal, and Operations to ensure responsible, compliant, and effective adoption of AI systems
  • Mentorship & Capability Building: Mentor junior and senior scientists, elevate technical standards (coding, testing, documentation, reproducibility), and foster a culture of scientific rigor and engineering excellence
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Sr Machine Learning Engineer -AI/ML- US Remote

We are seeking a Sr Machine Learning Engineer—Amgen’s senior individual-contribu...
Location
Location
United States , Jacksonville
Salary
Salary:
164029.00 - 209103.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3-5 years in AI/ML and enterprise software
  • Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem
  • Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
  • Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
  • Proficiency in Python and Java
  • containerization (Docker/K8s)
  • cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
  • Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
  • Exceptional stakeholder management
  • can translate complex technical concepts into concise, outcome-oriented narratives
Job Responsibility
Job Responsibility
  • Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
  • Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
  • Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
  • Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
  • Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications
  • Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
  • Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads
  • Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
  • Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs
  • Fulltime
Read More
Arrow Right

Data Scientist Senior - GenAI Solutions

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skil...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience of at least 3-5 years as data scientist
  • Strong Python (mandatory) and SQL coding
  • Knowledge of Java/Scala or C++/R is a plus
  • Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions
  • Knowledge of ML solutions architecture and Generative AI pipelines
  • Cloud and hybrid ML implementations
  • Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue
  • Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment
  • Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction
  • Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings
Job Responsibility
Job Responsibility
  • Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
  • Manage multiple projects simultaneously
  • Lead and coordinate the Data Scientists involved in the projects
  • Act as the main point of contact with client-side stakeholders
  • Ensure that project tasks are delivered on time and executed to a high standard
Read More
Arrow Right

Senior Lead AI Engineer (GenAI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose; McLean; New York; Cambridge
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
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
  • 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
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
What we offer
  • Performance based incentive compensation
  • Cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Healthy Body, Healthy Mind
  • Save Money, Make Money
  • Time, Family and Advice
  • Fulltime
Read More
Arrow Right
New

Data Scientist

As part of our Client’s high-performing AI Innovation team, you’ll help design, ...
Location
Location
United States , New York
Salary
Salary:
200000.00 - 225000.00 USD / Year
solomonpage.com Logo
Solomon Page
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • 2+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development
  • Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation
  • Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production
  • Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems
  • Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design
  • Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity
  • Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions
  • Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions
  • Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications
Job Responsibility
Job Responsibility
  • Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs
  • Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows
  • Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case
  • Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic
  • Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling
  • Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance
  • Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines
  • Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies
  • Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring
  • Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer (GenAI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; McLean, Virginia; New York, New York; Cambridge, Massachusetts
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
  • Fulltime
Read More
Arrow Right