Principal Data Scientist

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

Data Science is all about breaking new ground to enable businesses to answer the...

Location

United States , Hopkinton; Round Rock

Salary:

192000.00 - 248000.00 USD / Year

Dell

Expiration Date

Until further notice

Requirements

10+ years of experience in a related role or equivalent skill/education
deep knowledge of data science principles
strong coding skills in Python and SQL
machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets)
experience in ML model deployment
ability to work with internal stakeholders to transfer business questions into quantitative problem statements
ability to effectively communicate data science progress to non-technical internal stakeholders
ability to lead a team of data scientists is a plus

Job Responsibility

Contribute to business strategy and influence decision making based on information gained from deep dive analysis
produce actionable and compelling recommendations by interpreting insights from complex data sets
design processes to consolidate and examine unstructured data to generate actionable insights
partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
solve business and customer issues utilizing AI/ML
build prototypes and scalable AI/ML solutions that will be integrated into software products
collaborate with software engineers, business stakeholders and product owners in an Agile environment
have complete ownership of model outcomes and drive continuous improvement

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

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