Staff Machine Learning Research Scientist Engineer Agents Job at Scale (San Francisco)

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer, you will be a driving force behind our AI ...

Location

United Kingdom , London

Salary:

Not provided

EDITED

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn, with a deep understanding of NLP, deep learning, or reinforcement learning
Hands-on experience with modern AI orchestration tools such as LangChain and LangSmith
Proven experience with Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure), with a focus on scaling models in production
Expert-level SQL/NoSQL skills and the ability to design high-performance pipelines for massive datasets
A Master’s or PhD in Computer Science or a related field, or equivalent experience leading research-heavy engineering projects

Job Responsibility

Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable
Act as a technical lead for the team, mentoring junior engineers, setting engineering best practices, and shaping our long-term technical roadmap
Partner with Product Managers and Data Scientists to translate business ambitions into sophisticated technical requirements
Build models to solve specific problems for our customers and internal teams
Prioritise delivering a working solution that solves a business challenge
Use data and user feedback to refine your technical approach as the problem becomes clearer

What we offer

Flexible working policy
Hybrid approach in our central London office
Enhanced parental leave policy
25 days annual leave + public holidays (and an extra day for every year at EDITED)
Work from anywhere policy
Season Ticket Loan & Cycle to Work schemes
Health Cash App
Access to an Employee Assistance Programme
Gifts for work anniversaries and big life events
Dog friendly office

Fulltime

Staff Applied Research Scientist - Martech AI

We are seeking a highly experienced and strategic Staff Applied Research Scienti...

Location

United States , New York City; Palo Alto; Chevy Chase; Dallas; Seattle; Chicago; Austin

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

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

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

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

Member of Technical Staff, Integration/RL Team (Research Engineer)

The integration team is responsible for developing and scaling machine learning ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Extremely strong software engineering skills
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
Experience using and debugging large-scale distributed training strategies (memory/speed profiling)
[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance
[Bonus] Experience in ML, LLM and RL academic research

Job Responsibility

Design and write high-performing and scalable software for training models
Develop new tools to support and accelerate research and LLM training
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem
Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime
Research, implement, and experiment with ideas on our cluster and data infrastructure
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Senior Staff Engineer

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Chevy Chase

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design
8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
A track record of turning research ideas into working products with measurable outcomes
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production
Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams
Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints
Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

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

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Staff AI Engineer

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

8–12 years of experience as a Data Scientist, ML Engineer, or AI Engineer
Strong end-to-end practical expertise in ML/AI/DS
Able to explore, experiment, and deliver independently
Proficiency in scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace, LangChain, Transformers, Pandas, NumPy
Strong communication skills
Collaboration across engineering, data science, product, and security teams
Experience mentoring and guiding junior data scientists
Agentic AI and LLM expertise
Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)
Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems

Job Responsibility

Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows
Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution
Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems
Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks
Partner with engineering teams to ship AI features, integrating models into high-scale systems
Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services
Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance
Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows
Embrace agile development, iterative experimentation, and collaborative problem solving
Mentor junior team members and uplift the technical bar for agentic AI and ML engineering

Fulltime

Senior Staff Data Scientist (AI Solutions - Machines)

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identi...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment
Strong communication skills and ability to explain technical concepts to different audiences

Job Responsibility

Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications

Fulltime

Staff AI Engineer

We are looking for a visionary and technically deep AI Architect to lead the des...

Location

India , Pune, Maharashtra; Karnataka

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering or technology architecture
At least 4 years focused on AI, ML, and Generative AI solutions at enterprise scale
Deep hands-on expertise with Large Language Models (LLMs) including model selection, prompt engineering, fine-tuning (LoRA, PEFT), and evaluation techniques
Proven experience designing and implementing MCP servers and structured context management strategies for LLM applications
Strong working knowledge of Generative AI frameworks and orchestration tools — LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent agentic platforms
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embedding models
Proficiency in Python-based AI/ML development, including libraries such as HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, and OpenAI SDK
Experience with AI cloud platforms and services — Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI infrastructure
Solid understanding of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML, and model monitoring in production
Familiarity with AI agent design patterns, multi-agent systems, tool-use frameworks, and autonomous workflow orchestration

Job Responsibility

Define and own the enterprise AI architecture strategy, establishing standards, reference architectures, and technology roadmaps for AI/ML adoption
Architect and oversee the design of LLM-powered applications including RAG pipelines, AI agents, and agentic workflow systems
Design and govern MCP server implementations, enabling structured, context-aware interactions between LLMs and enterprise data sources
Lead the evaluation and selection of AI/ML platforms, LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Gemini, open-source models), and supporting infrastructure
Architect prompt engineering frameworks, fine-tuning pipelines, and model evaluation strategies to ensure LLM output quality, accuracy, and reliability
Design AI orchestration layers using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or custom agentic architectures for multi-step reasoning workflows
Establish AI data pipelines for model training, embeddings generation, vector database management, and real-time inference serving
Define and enforce responsible AI practices including bias detection, explainability, hallucination mitigation, content safety guardrails, and regulatory compliance
Collaborate with engineering leads, data scientists, and product teams to embed AI capabilities into existing platforms and new product initiatives
Mentor and upskill engineering teams on AI/ML technologies, architectural patterns, and emerging developments in the AI ecosystem

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

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Staff Machine Learning Research Scientist Engineer Agents

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