Principal Machine Learning Engineer Jobs

New

Principal Machine Learning System Engineer

As a Principal Machine Learning System Engineer on the AI & ML Platform team, yo...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience in building Machine Learning and AI infra/platform/system (generally 5+ years)
Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring
Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning
Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial
MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Job Responsibility

Collaborate with your teammates to solve complex problems, from technical design to launch
Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers
Deliver code reviews, documentation & bug fixes within a strong engineering culture
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Mentor junior members of the team

What we offer

health and wellbeing resources
paid volunteer days

New

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

New

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.

New

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

New

Principal Machine Learning Tech Lead

We are looking for a highly skilled and innovative Principal Machine Learning Te...

Location

United States

Salary:

312000.00 USD / Year

Blue River Technology

Expiration Date

Until further notice

Requirements

8-12 years of experience developing high-performance ML systems
Experience shaping the technical vision for larger projects and providing guidance while contributing to core capabilities
Strong leadership and communication skills, and demonstrated experience in leading and mentoring teams
Hands-on work experience with GPU-based computing on large data sets
Extensive experience with deep learning frameworks (e.g., PyTorch)
Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred

Job Responsibility

Lead the design, development, and deployment of machine learning and computer vision models that power real-time perception for autonomous agricultural robots
Own the full ML lifecycle—from dataset design and data collection through training, evaluation, model optimization, and deployment on embedded platforms
Collaborate cross-functionally with robotics engineers, software developers, and hardware teams to integrate perception systems into field-ready machines
Lead a team of CVML engineers, fostering technical growth, strong engineering practices, and a culture of experimentation and delivery
Define and execute the ML roadmap, balancing research exploration with production needs to meet performance, safety, and robustness targets in challenging environments
Prototype and validate new approaches quickly, using both real-world and synthetic data to improve detection, segmentation, and scene understanding under variable conditions (lighting, occlusion, dust, etc)
Continuously evaluate model performance in the field and refine approaches to maximize reliability and generalization across crop types, terrains, and climates

What we offer

bonus and benefit programs
inclusive workplace
programs including recruiting, mentorship, career development, and learning & development
reasonable accommodation for individuals with disabilities

Fulltime

New

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

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...

Location

United States , Mountain View

Salary:

240000.00 - 385000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience
5+ years of combined experience in software development (Python, C++) and applied ML engineering
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning
Strong foundation in data structures, algorithms, and neural network architectures
Proficiency with ML frameworks such as PyTorch

Job Responsibility

Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities
Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints
Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

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

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
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
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
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Principal Machine Learning Engineer

Atlassian

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 27, 2025

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