Senior Machine Learning Engineer Job at Orbis Consultants (New York City Metropolitan Area)

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing machine learning engineering teams
Proven track record of building and scaling machine learning models in business applications using large datasets
Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
Strong technical expertise in machine learning, data science, and system design
Excellent communication skills to explain complex concepts to diverse audiences
Agile mindset with a focus on iterative development and continuous improvement
A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

Job Responsibility

Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
Mentor and coach team members on best practices, technical skills, and career development
Hire, onboard, and retain top talent to build a high-performing team
Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
Define and execute the vision and strategy for the Knowledge Graph Team
Influence the strategic direction of machine learning initiatives across Atlassian's products
Ensure timely delivery of high-quality solutions that meet customer needs
Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly

What we offer

Health coverage
Paid volunteer days
Wellness resources.

Fulltime

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team works cross-functionally, providing genera...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

Health and wellbeing resources
Paid volunteer days
Wide range of perks and benefits to support family and personal goals

Fulltime

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team sits within the Search and AI Conversation...

Location

United States , Seattle; Mountain View

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

Health and wellbeing resources
paid volunteer days
various perks and benefits to support you, your family, and engage with your local community