CrawlJobs Logo

Principal ML/AI Software Engineer

https://www.atlassian.com Logo

Atlassian

Location Icon

Location:
Turkey

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are looking for a Principal Engineer experienced in the ML/AI domain to drive the vision, development, and launch of AI-powered products and platforms at Atlassian. You will lead initiatives across two key areas: AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Atlassian's product teams. NextGen AI - Exploring cutting-edge AI applications (for example, chatbot experiences, generative AI features) to shape the future of our products. This role requires strong technical leadership, balancing hands-on engineering, strategic decision-making, and cross-functional collaboration to ensure the successful end-to-end delivery of AI solutions. Joining Atlassian is an opportunity to be at the forefront of industry transformation.

Job Responsibility:

  • Define the technical vision and roadmap for AI Foundation and NextGen
  • End-to-end ownership - from prototyping and development to production
  • Hands-on work in prompt engineering, model iteration, and training/inference systems
  • Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
  • Facilitate product and technical decisions, ensuring alignment with business goals
  • Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
  • Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
  • Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
  • Evaluate in-house model development vs. third-party APIs for ML/AI solutions
  • Establish best practices for AI development, quality measurement, monitoring, and scalability

Requirements:

  • 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML
  • Proven track record of tech-leading AI/ML products from conception to launch
  • Strong platform mindset - experience building reusable tools/infras to accelerate AI development
  • Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds
  • Excellent communication and collaboration skills

Nice to have:

  • PhD or MS in a relevant field
  • Background in ML modeling (training/fine-tuning ML models)
  • Experience with chatbots, generative AI, or LLM-powered applications
What we offer:
  • Health and wellbeing resources
  • Paid volunteer days

Additional Information:

Job Posted:
December 27, 2025

Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal ML/AI Software Engineer

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right

Sr. Engineering Manager - Storage Engineering

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
United States , San Jose
Salary
Salary:
203000.00 - 254000.00 USD / Year
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in software engineering
  • 2+ years in an engineering management role
  • Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure
  • Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching)
  • Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills
  • Excellent written and verbal communication skills
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field
Job Responsibility
Job Responsibility
  • Manage and lead a team of talented engineers and senior individual contributors based in North America
  • Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals
  • Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation
  • Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption
  • Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency
  • Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders
  • Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team
  • Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines
  • Guide the team in contributing to the Apache open-source community
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Sr. Engineering Manager - Storage Engineering

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
United States , San Jose
Salary
Salary:
203000.00 - 254000.00 USD / Year
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in software engineering
  • 2+ years in an engineering management role
  • Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure
  • Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching)
  • Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills
  • Excellent written and verbal communication skills
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field
Job Responsibility
Job Responsibility
  • Manage and lead a team of talented engineers and senior individual contributors based in North America
  • Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals
  • Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation
  • Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption
  • Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency
  • Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders
  • Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team
  • Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines
  • Guide the team in contributing to the Apache open-source community
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Principal Data Engineer

Our Client is seeking a Principal Data Engineer to roll up their sleeves and bui...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 220000.00 USD / Year
solomonpage.com Logo
Solomon Page
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
  • Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
  • Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
  • Expert proficiency in Python for data pipeline and automation development.
  • Advanced SQL skills with experience optimizing complex queries and data models at scale.
  • Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
  • Experience implementing and managing Terraform or similar IaC frameworks.
  • Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
  • Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
  • 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
Job Responsibility
Job Responsibility
  • Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
  • Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
  • Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
  • Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
  • Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
  • Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
  • Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
  • Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
  • Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
  • Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.
  • Fulltime
Read More
Arrow Right

Principal Software Engineer

Join the “Microsoft AI Web Data Platform Team” as a Principal Software Engineer,...
Location
Location
United States , Redmond
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Experience with large-scale distributed data platforms, such as: Apache Spark, Kafka, Columnar storage, data modeling and schema designs
  • Experience as a technical lead/Architect
  • Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis
  • Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications
  • Experience in ML/AI
  • Proficient analytical skills with systematic and structured approaches to software design
  • Fluent communication skills to articulate technical details
  • Ability to navigate cross-organization to influence stakeholders
Job Responsibility
Job Responsibility
  • Align team efforts with business and user requirements by collaborating with stakeholders to define priorities, resolve dependencies, and ensure delivery of well-documented design and implementation plans for products, applications, services, or platforms
  • Guide system design and architectural decisions across multiple components, encouraging the use of data and telemetry to make informed decisions
  • Drive engineering excellence by fostering a culture of building modular, secure, reliable, testable, maintainable, and reusable solutions, while promoting active monitoring practices
  • Establish quality assurance strategies by setting standards for improving test coverage, streamlining integration testing, and addressing critical problem areas proactively
  • Oversee and improve operational reliability, guiding efforts to troubleshoot and optimize automation, monitoring, and Live Site health
  • Fulltime
Read More
Arrow Right

Principal Software Engineer

Join Microsoft AI's Copilot Discover Engineering Team as a Principal Software En...
Location
Location
United States , Redmond
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Experience in ML/AI systems, especially in content understanding, ranking, or personalization
  • Proven experience designing and operating large-scale distributed systems, including data pipelines, microservices, APIs, and storage systems
  • Experience with content platforms, personalization systems, or consumer-facing services at scale
  • Experience with technologies such as Apache Spark, Kafka, columnar storage, data modeling, and schema evolution
  • Demonstrated success as a technical lead or architect, influencing across teams without direct authority
  • Solid understanding of system architecture, performance tuning, telemetry design, and operational excellence
  • Excellent analytical and communication skills, with the ability to clearly articulate complex technical concepts
Job Responsibility
Job Responsibility
  • Own the technical direction for Copilot Discover platforms, setting end-to-end architectural strategy
  • Partner with product, design, data science, and engineering leaders to translate business and user needs into executable architectural plans, well-documented designs, and multi-year roadmaps
  • Set and govern architectural decisions across multiple services and teams, ensuring systems are scalable, secure, reliable, cost-efficient, and grounded in data, telemetry and operational excellence
  • Raise the technical bar across the organization by establishing flasifible principles, reviewing critical designs, and helping to develop technical leaders within the team
  • Establish and evolve quality and reliability standards, including test strategies, CI/CD practices, monitoring, alerting, and live-site health
  • Shape the adoption of AI/ML techniques for content understanding, personalization, summarization, and safety, in close collaboration with MAI and partner teams
  • Serve as a cross-org technical leader, aligning MSN architecture with Bing, Copilot, Ads, Privacy, Trust, and other Microsoft platforms
  • Fulltime
Read More
Arrow Right

Principal Software Engineer

Prisma Access is Palo Alto Networks' cloud-delivered security platform that offe...
Location
Location
United States , Santa Clara
Salary
Salary:
147000.00 - 237500.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S, M.S or PhD in Computer Science or a related field with a minimum of 8+ years of proven experience and proficiency in one or more programming languages - Go, Python, or Java
  • Proficient is problem solving with a strong understanding of data structures and algorithms and solid foundation in operating systems, networking and distributed systems
  • Experience working with Cloud Provider Infrastructure like AWS, GCP, Azure or OCI
  • Experience in building complex, large scale SaaS solutions with distributed databases and messaging systems
  • Good understanding of PKI / Certificates and security principles
  • Proven record designing and implementing scalable REST APIs, services and data pipelines
  • Experience handling DevOPs, availability and reliability outcomes for a large cloud product
  • Experience with Test-Driven Development and CI/CD methodologies
  • Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures (VPCs, load balancers and firewalls within cloud environment)
  • Strong understanding of microservices-based deployments with the ability to design services
Job Responsibility
Job Responsibility
  • Analyze requirements, design, develop, and support highly scalable software features and infrastructure on our next-generation security platform ready for cloud native deployment from inception to completion
  • Develop algorithms to integrate targeted ML/AI concepts as it relates to operations in our cloud security platform in terms of networking and orchestration
  • Write clean, testable, readable, scalable, and maintainable code that scales and performs well for thousands of customers
  • Actively guide testing of critical components in the product, considering complex considerations of multiple platforms, performance, supportability, maintainability, and much more
  • Collaborate closely with the Product management, Development, Quality Assurance, SRE, and Customer support teams on delivering the roadmap and improving customer outcomes
  • Strive in results-oriented culture with a strong focus on execution, quality, and speed
  • Fulltime
Read More
Arrow Right

Principal Engineer - Marketplace

Principal Engineer role in the Marketplace Engineering team to lead breakthrough...
Location
Location
United States , San Francisco; Sunnyvale
Salary
Salary:
302000.00 - 336000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
  • 10+ years of experience building and deploying ML models in large-scale production environments
  • Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
  • Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
  • Proven track record of leading complex ML projects from research through production with significant measurable business impact
  • Strong programming skills in Python, Java, or Go with experience building production ML systems
  • Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
  • Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
  • Advanced Deep Learning and Neural Network architectures
  • Scalable ML architecture and distributed model training
Job Responsibility
Job Responsibility
  • Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
  • Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
  • Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
  • Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
  • Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance
  • Serve as a representative for the Marketplace organization to the broader internal and external technical community
  • Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team
  • Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continually
  • Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
  • Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Eligible for various benefits (details at provided link)
  • Fulltime
Read More
Arrow Right