CrawlJobs Logo
Atlassian Logo Atlassian · IT - Software Development

Senior Principal Machine Learning Engineer

United States 222300.00 - 348975.00 USD / Year · Job Posted December 27, 2025
Apply Position
Job Link Share

Job Description

You’ll form a new team of passionate engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture. Trust Engineering operates as a platform and enablement team, partnering closely with Security, Privacy, Product Abuse, and GRC stakeholders, and leading the charge on AI safety and responsible AI for enterprise environments.

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

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

Nice to have

  • Experience in AI safety, responsible AI, or regulatory compliance for ML systems
  • Background in privacy engineering, anti-abuse, security automation, or GRC platforms
  • Experience developing deep learning models, LLMs, or privacy-preserving ML techniques
  • Experience mentoring and growing high-performing ML teams

What we offer

  • health and wellbeing resources
  • paid volunteer days
  • benefits, bonuses, commissions, and equity
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 Principal Machine Learning Engineer

8 matching positions

Principal Machine Learning Engineer - AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...
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
  • 10+ years of working experience in the ML, Robotics, or Autonomous Systems industry
  • Proven experience leading large-scale technical projects from conception to production
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields
  • Expert-level proficiency in Python and Linux environments
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
Job Responsibility
Job Responsibility
  • Strategic Semantic Modeling: Lead the strategy for developing autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
  • Scene and Behavior Causality Understanding: Provide the overarching technical vision for multi-modal scene understanding and modeling the causality behind ego vehicle behaviors from logged data
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure our semantic models and data evaluation platforms are successfully integrated and deployed at scale
What we offer
What we offer
  • bonus program
  • equity award
  • other types of comp
  • 401(k) plan
  • various benefits
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer – Autonomy

As a Principal ML Engineer, you will be at the forefront of Physical AI, develop...
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
  • 10+ years of working experience in the ML, Robotics, or Autonomous Systems industry (building upon the base 8+ years expected for advanced roles)
  • Proven experience leading large-scale technical projects from conception to production
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields
  • Expert-level proficiency in Python and Linux environments
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch)
Job Responsibility
Job Responsibility
  • Lead the strategy for Autonomous Driving Algorithm Development, ensuring our stack is robust, safe, and capable of handling the most complex urban edge cases
  • Provide the overarching technical vision for our multi-modal autonomy systems
  • Design and oversee the implementation of complex, large-scale ML systems
  • Mentor senior and lead engineers
  • Act as a bridge between AV Labs and other Uber engineering units
What we offer
What we offer
  • Bonus program
  • Equity award
  • Other types of compensation
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer

As a Principal Machine Learning Engineer in ZMS, you will be the tech lead worki...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent software development engineering skills to design computationally effective solutions for machine learning operationalization and maintenance (MLOps/MLaaS) in large-scale production environments (data engineering, data version control, model serving, continuous monitoring & alerting)
  • Strong verbal and written communication and presentation abilities when discussing complex ideas with both technical and non-technical stakeholders
  • Hands-on professional experience in programming, using Python, Java Flink, pySpark, PyTorch, and TensorFlow
  • Strong programming skills with a high performance language (Java, Scala, Go, etc) and experience working with Python in production
  • Experience building, deploying and operating data-driven systems in a cloud environment, including experience with feature stores & feature engineering pipelines, data ingestion & transformation, machine learning workflow orchestration
  • Thrive to coach and mentor senior engineers, and work closely with applied scientists, senior machine learning engineers and data scientists
Job Responsibility
Job Responsibility
  • Drive the operationalization of solutions deployed in production, and help the team grow and cultivate best practices in software development and MLOps
  • Architect and lead the development of machine learning solutions that can handle low latency, high availability and high volume scenarios
  • Mentor engineers and provide technical guidance across multiple projects simultaneously while managing competing priorities effectively within agreed-upon timelines
  • Apply techniques and create processes to optimise deployed models for better performance, latency, and memory usage
  • Work closely with applied science and engineering teams, product managers and other business stakeholders to bring our state-of-the-art solutions to customers and to discover and identify new opportunities
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer

As a Principal Machine Learning Engineer in ZMS, you will be the tech lead worki...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent software development engineering skills to design computationally effective solutions for machine learning operationalization and maintenance (MLOps/MLaaS) in large-scale production environments (data engineering, data version control, model serving, continuous monitoring & alerting)
  • Strong verbal and written communication and presentation abilities when discussing complex ideas with both technical and non-technical stakeholders alike
  • Hands-on professional experience in programming, using Python, Java Flink, pySpark, PyTorch, and TensorFlow
  • Strong programming skills with a high performance language (Java, Scala, Go, etc) and experience working with Python in production
  • Experience building, deploying and operating data-driven systems in a cloud environment, including experience with feature stores & feature engineering pipelines, data ingestion & transformation, machine learning workflow orchestration
  • Thrive to coach and mentor senior engineers, and work closely with applied scientists, senior machine learning engineers and data scientists
Job Responsibility
Job Responsibility
  • Drive the operationalization of solutions deployed in production, and help the team grow and cultivate best practices in software development and MLOps
  • Architect and lead the development of machine learning solutions that can handle low latency, high availability and high volume scenarios
  • Mentor engineers and provide technical guidance across multiple projects simultaneously while managing competing priorities effectively within agreed-upon timelines
  • Apply techniques and create processes to optimise deployed models for better performance, latency, and memory usage
  • Work closely with applied science and engineering teams, product managers and other business stakeholders to bring our state-of-the-art solutions to customers and to discover and identify new opportunities
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer

This is a high-leverage leadership role that spans architecture, execution, and ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
ema.co Logo
Ema
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field
  • A strong track record (usually 10-12+ years) of applied experience with ML techniques, especially in large-scale settings
  • Experience building production ML systems that operate at scale (latency / throughput / cost constraints)
  • Experience in Knowledge retrieval and Search space
  • Exposure in building Agentic Systems and Frameworks
  • Proficiency in relevant programming languages (e.g. Python, C++, Java) and ML frameworks (TensorFlow, PyTorch, etc.)
  • Strong understanding of the full ML lifecycle: data pipelines, feature engineering, model training, serving, monitoring, maintenance
  • Experience designing systems for monitoring, diagnostics, logging, model versioning, etc.
  • Deep knowledge of computational trade-offs: distributed training, inference, optimizations (e.g. quantization, pruning, batching)
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products
  • Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning
  • Define and own the multi-year ML roadmap for GenAI infrastructure — including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines
  • Identify and integrate cutting-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Ema’s products or infrastructure
  • Research, prototype, and integrate cutting-edge ML and LLM advancements (reasoning, memory architectures, multi-modal perception, long-context models, autonomous agents) into the platform
  • Optimize trade-offs between accuracy, latency, cost, interpretability, and real-world reliability across the agent lifecycle — from prompt design to orchestration and execution
  • Champion engineering excellence — drive observability, reproducibility, versioning, testing, and bias-aware development across ML and agentic systems
  • Mentor and elevate senior engineers and researchers, fostering a culture of scientific rigor, experimentation, and system-level thinking
  • Collaborate cross-functionally with product, infra, and research teams to align ML innovation with enterprise needs — enabling secure integrations, privacy-aware deployments, and scalable use cases
  • Influence data strategy — guide how retrieval indices, embeddings, structured/unstructured corpora, and feedback loops evolve to improve grounding, factuality, and reasoning depth
  • Fulltime
Read More
Arrow Right

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...
Location
Location
United States , Waltham
Salary
Salary:
150000.00 - 196000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
  • 12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
  • Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
  • Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
  • Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
  • Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
  • Proven ability to influence without direct authority and drive change across organizations
  • Strong communication and presentation skills
  • you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
Job Responsibility
Job Responsibility
  • Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
  • Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
  • Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
  • Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
  • Mentorship of individuals and technical teams
  • Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
  • Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
  • Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
  • Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
  • translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...
Location
Location
United States , North Bethesda
Salary
Salary:
150000.00 - 196000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
  • 12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
  • Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
  • Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
  • Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
  • Proven ability to influence without direct authority and drive change across organizations
  • Strong communication and presentation skills
  • you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
  • Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency
Job Responsibility
Job Responsibility
  • Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
  • Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
  • Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
  • Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
  • Mentorship of individuals and technical teams
  • Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
  • Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
  • Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
  • Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
  • translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization
What we offer
What we offer
  • annual bonus
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
136000.00 - 261050.00 GBP / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
  • Fulltime
Read More
Arrow Right