Applied Machine Learning Engineer Job at Fireworks AI (New York, NY)

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

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

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

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Machine Learning Engineer

We’re seeking a Senior Machine Learning Engineer (P50) to join our new GenAI Mod...

Location

Singapore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles
Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML
Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra
Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype
Comfort working in fast-paced, experimental environments with evolving direction
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience

Job Responsibility

Build and apply advanced GenAI models
Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data
Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches
Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments
Prototype and experiment quickly
Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences
Run experiments, collect feedback, and iterate fast to validate impact
Design and implement evaluation methods for quality, groundedness, and user value
Collaborate and contribute
Work closely with peers across ML, engineering, and product teams to bring new ideas to life

What we offer

Health and wellbeing resources
Paid volunteer days

Principal Machine Learning Systems Engineer

Search Platform powers the search functionality in Atlassian products. The team ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

10+ years experience in multiple hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycle
Worked on scaling ML use cases for 50+ TB of data
Good understanding of PySpark and Databricks jobs scaling challenges
Experience with ML workflows and observability at scale.
Bachelor's degree with a preference for Computer Science degree
Expertise with one or more prominent languages such as Java, Python, Kotlin, Go, or TypeScript is required.
Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, or Azure)
Java, Spring, REST, and NoSQL databases
Experience building event-driven based on SQS, SNS, Kafka or equivalent technologies
Knowledge to evaluate trade-offs between correctness, robustness, performance, space and time

Job Responsibility

Handle complex problems in the team from technical design to launch
Determine plans-of-attack on large projects
Solve complex architecture challenges and apply architectural standards and start using them on new projects
Lead code reviews & documentation and take on complex bug fixes, especially on high-risk problems
Set the standard for meaningful code reviews
Partner across engineering teams to take on company-wide programmes in multiple projects
Transfer your depth of knowledge from your current language to excel as a Software Engineer
Mentor junior members of the team

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
health and wellbeing resources
paid volunteer days

Principal Machine Learning Engineer

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields
Ability to craft analysis into well-written and persuasive content
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Familiarity with LLM or ML driven product algorithms and success metric selection and measurement

Job Responsibility

Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focussed on the fast-paced Atlassian Intelligence suite of features
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

What we offer

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Manager, Machine Learning - Community Support Engineering

The Community Support Platform (CSP) at Airbnb is a critical system that drives ...

Location

United States

Salary:

204000.00 - 255000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Expertise in various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
Exceptional verbal and written communication abilities, with a keen eye for detail
Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
5+ years managing machine learning teams that deliver large impact
Expert knowledge of machine learning algorithms and techniques

Job Responsibility

Lead and mentor a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
Experience in the retail industry or e-commerce is highly desirable
Strong problem-solving abilities, solid background in algorithms and data structures
Strong proficiency in Python
Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
Proficiency in SQL and experience with relational databases
System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)

Job Responsibility

Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Applied Machine Learning Engineer

Fireworks AI

Location:
United States , New York, NY ▼
San Mateo, CA
Redwood City, CA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 08, 2025

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