CrawlJobs Logo
Atlassian Logo Atlassian · IT - Software Development

Senior Machine Learning Engineering Manager, Gen AI

United States 193500.00 - 303150.00 USD / Year · Job Posted December 27, 2025
Apply Position
Job Link Share

Job Description

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional initiative focused on delivering end-to-end GenAI products. This is a rare opportunity to drive innovation at the intersection of modeling, engineering, and product thinking—turning state-of-the-art LLM capabilities into intuitive, high-value user experiences.

Job Responsibility

  • Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
  • Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
  • Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
  • Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
  • Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
  • Mentor individuals to grow in both technical depth and product acumen
  • Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
  • Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
  • Champion data quality, grounding, and responsible AI practices in all deployed features

Requirements

  • 8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
  • Strong track record of shipping ML-powered or LLM-integrated user-facing products
  • Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
  • Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
  • Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
  • Strong product intuition and ability to translate complex tech into valuable user features
  • Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
  • Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Nice to have

  • Experience with front-end or full-stack development for GenAI interfaces
  • Familiarity with knowledge graphs, semantic embeddings, or search evaluation metrics (e.g., NDCG, precision@k)
  • Passion for AI safety, ethics, and user trust in generative systems

What we offer

  • health and wellbeing resources
  • paid volunteer days
Atlassian - 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

Senior Machine Learning Engineering Manager, Gen AI

8 matching positions

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...
Location
Location
Canada
Salary
Salary:
219300.00 - 296700.00 CAD / Year
dropbox.com Logo
Dropbox
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 10+ years of software engineering experience, with at least 5+ years in direct management roles.
  • Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
  • Drive and ability to move forward in spite of ambiguity with a bias for action.
  • Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
  • Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
  • Proven track record of setting visionary goals and delivering iterative progress.
  • Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
  • Ability to mentor and guide team members to maximize their impact.
Job Responsibility
Job Responsibility
  • Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
  • Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
  • Utilize data and insights to make informed decisions that significantly impact the company.
  • Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
  • Cultivate a collaborative culture within the team that embodies Dropbox's values.
  • Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
  • Define team’s OKRs and manage the executions.
  • Work closely with business partners and peer teams for project priorities and requirements
  • Manages system’s operational health, including on-call duties and connections with external gateway partners.
  • Define the growth paths and opportunities for team members.
What we offer
What we offer
  • Competitive medical, dental and vision coverage
  • Retirement savings through a defined contribution pension or savings plan
  • Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
  • Income Protection Plans: Life and disability insurance
  • Business Travel Protection: Travel medical and accident insurance
  • Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
  • Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
  • Mental health and wellness benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...
Location
Location
United States
Salary
Salary:
216200.00 - 365700.00 USD / Year
dropbox.com Logo
Dropbox
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 10+ years of software engineering experience, with at least 5+ years in direct management roles.
  • Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
  • Drive and ability to move forward in spite of ambiguity with a bias for action.
  • Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
  • Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
  • Proven track record of setting visionary goals and delivering iterative progress.
  • Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
  • Ability to mentor and guide team members to maximize their impact.
Job Responsibility
Job Responsibility
  • Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
  • Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
  • Utilize data and insights to make informed decisions that significantly impact the company.
  • Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
  • Cultivate a collaborative culture within the team that embodies Dropbox's values.
  • Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
  • Define team’s OKRs and manage the executions.
  • Work closely with business partners and peer teams for project priorities and requirements
  • Manages system’s operational health, including on-call duties and connections with external gateway partners.
  • Define the growth paths and opportunities for team members.
What we offer
What we offer
  • Competitive medical, dental, and vision coverage
  • 401(k) plan with a generous company match and immediate vesting
  • Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
  • Income Protection Plans: Life and disability insurance
  • Business Travel Protection: Travel medical and accident insurance
  • Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
  • Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
  • Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
  • Quarterly Cell phone and internet allowance
  • Mental health and wellness benefits
  • Fulltime
Read More
Arrow Right

Senior Manager, AI Engineering (People Leader)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose; San Francisco; New York; Cambridge; McLean
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 1 year of people leadership experience
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
  • Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 9 -10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • Strong foundation in mathematics and statistics
  • In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
  • Proficiency in using agentic frameworks like langGraph or similar other frameworks
  • Knowledgeable in lineage tracking of agentic architectures
  • Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Provides technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; New York, New York
Salary
Salary:
250800.00 - 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

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose; San Francisco; New York; Cambridge; McLean
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 that support your total well-being
  • Fulltime
Read More
Arrow Right

Senior Gen AI Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-8 years of professional, hands-on experience in software engineering, with a significant focus on data science and AI/ML application development
  • Proven track record of building and deploying machine learning models and AI-powered applications into production environments
  • Strong, hands-on technical expertise in machine learning (ML), natural language processing (NLP), large language models (LLMs), and retrieval-augmented generation (RAG)
  • Proficiency in building applications using modern AI frameworks and MLOps practices
  • Experience working with both structured and unstructured data, and building data processing pipelines
  • Familiarity with the software development lifecycle in a corporate or enterprise environment, including experience with version control, CI/CD, and testing
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders
  • Bachelor's degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • AI Solution Development: Collaborate with business analysts and product managers to understand requirements and translate them into technical designs. Lead the hands-on development of high-quality, scalable AI solutions, including Large Language Models (LLMs), Natural Language Processing (NLP), and machine learning pipelines
  • Hands-On Engineering & Implementation: Design, build, and deploy robust AI systems and agentic solutions. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating with internal knowledge bases, market data, and document repositories
  • Data Integration & Modeling: Work closely with data engineering teams to integrate structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data sources. Develop and maintain feature engineering pipelines for model training and evaluation
  • Prototyping & Productionizing: Rapidly develop proofs-of-concept (PoCs) to validate new ideas and technologies. Take successful prototypes and re-engineer them into robust, production-ready tools and features that can be integrated into banker workflows
  • Technical Excellence & Compliance: Implement AI solutions that adhere to the firm's standards for security, compliance, and model governance. Ensure code quality, maintainability, and comprehensive documentation for all developed systems
  • Mentorship & Collaboration: Act as a technical mentor for junior engineers, providing guidance on best practices in AI/ML development. Foster a culture of technical excellence and collaborative problem-solving within the team
  • Fulltime
Read More
Arrow Right

Senior Gen AI Developer

The Senior Gen AI Developer is a senior-level position responsible for designing...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
  • Strong proficiency in Python, SQL
  • Java is a plus
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
  • Familiarity with large language models (LLMs) and their application in agentic systems
  • Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
  • Experience in designing and implementing APIs for AI services
  • Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
  • Excellent analytical and problem-solving skills with a creative approach to complex challenges
Job Responsibility
Job Responsibility
  • Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
  • System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
  • Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
  • Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
  • Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools
  • Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
  • Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
  • Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
  • Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
What we offer
What we offer
  • Private Medical Care Program
  • Life Insurance Program
  • Pension Plan contribution (PPE Program)
  • Employee Assistance Program
  • Paid Parental Leave Program (maternity and paternity leave)
  • Sport Card
  • Holidays Allowance
  • Sport and team recreation activities
  • Special offers and discounts for employees
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right