Senior AI Engineering Manager Job at Citi (London)

Senior Machine Learning Engineering Manager

We are looking for a senior ML engineering manager to join the Teamwork Graph te...

Location

United States , Mountain View; San Francisco; Seattle

Salary:

190300.00 - 305700.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing engineering teams running core AI/ML services at scale
Experience building and scaling business applications and systems using large amounts of data
Ability to communicate and explain complex technical concepts to diverse audiences, craft a compelling story
Build generalizable platforms with a keen eye on empowering applications in product
Solid understanding of foundational ML concepts and Graphs
Experience working with LLM based applications or other ML powered products

Job Responsibility

Process and structure large amounts of graph data to power applications across Atlassian
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
Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Manager, AI Solutions and Integrations Engineering

Join the Corporate Engineering team as the Sr. Manager, AI Solutions, where you'...

Location

United States , Denver; San Francisco

Salary:

163000.00 - 227000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Proven experience in leading and managing teams, with a focus on AI/ML projects
Strong ability to engage and align with executive stakeholders, driving strategic initiatives
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of professional experience in engineering roles focused on productivity or data-centric solutions
Robust programming skills in Python and experience with AI frameworks and technologies such as TensorFlow, PyTorch, and containerizing solutions with tools like Docker and Kubernetes within cloud environments like AWS and Azure
Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
A deep interest in leveraging AI to transform internal processes and enhance employee productivity.

Job Responsibility

Lead and mentor a team of AI Solutions Engineers, fostering a culture of innovation and continuous improvement
Engage with executive stakeholders to align AI initiatives with organizational goals, ensuring strategic alignment and impactful outcomes
Collaborate with internal stakeholders across various departments to gather requirements, understand workflows, and propose AI-driven improvements
Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
Work with cross-functional teams to integrate AI technologies into existing systems and workflows
Gather feedback on AI solutions, refining them based on user needs and business objectives
Conduct training sessions and workshops to help internal teams understand and adopt AI solutions
Stay up to date on the latest AI advancements and share relevant findings with the team to help inform solution design
Present findings, progress updates, and future proposals to internal stakeholders, from team members to executive leadership.

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend
In-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

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