Senior Engineering Manager, AI Job at Monarch Money

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

Senior AI Engineer

We are seeking an innovative AI Engineer to join a brand new team focused on pro...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven experience as an AI Engineer with a significant delivery history
Strong expertise in multiple programming languages & frameworks
Experience and proven experience in using quantitative testing practice applied to the field of AI/ML for actionable Go/No-Go decisions of delivering software to production
Demonstrated expertise of developing on a range of architectures, ideally up to and including container-based micro-services with focus on scalability, reliability, maintainability, and high performance
Good understanding of SQL and NoSQL databases
Excellent communication and collaboration skills
A growth mindset and willingness to learn and adapt in a fast-paced environment
Passion about site reliability engineering and its impact on product development
Being connected to latest technologies, like Generative AI, and keen to put them in practice.

Job Responsibility

Understand the landscape, tooling and procedures used by developers at Citi and look for opportunities to reduce toil and aid simplification using Gen AI based solutions
Apply classic AI and novel Gen AI evaluation methodology to raise the quality and reliability bar for the software that you will deliver, as well to manage and mitigate risks that are specific/inherent to this field
Advice on Evaluation metrics, devise and implement Quantitative Testing Plans, and help evolve the existing approaches to AI evaluation
Work with a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment
Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services
Be hands-on with coding and software design to ensure adherence to high quality standards and best practices
Mentor and nurture other engineers to help them grow their skills and expertise
Support and drive cultural change, including instigating critical thinking about controls and processes and encouraging a culture of continuous improvement.

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance-related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources.

Fulltime

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years' experience including 5 or more years of people management experience
Advanced Degree (Master's or Ph.D.) strongly preferred
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Proven ability to manage multiple projects and priorities in a fast-paced environment
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools
Proficiency in programming languages such as Python or R

Job Responsibility

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data
Uses machine learning and statistical modeling techniques to improve product/system performance
Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms
Applies, optimizes and scales deep learning technologies and algorithms
Documents procedures for installation and maintenance
Contributes to translating customer requirements into AI/ML products and solutions
Develops and drives the organization's AI and machine learning strategy
Leads and manages a team of AI and machine learning professionals
Oversees complex AI and machine learning projects from conception to deployment
Provides technical leadership and guidance to the team

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years’ experience including 5 or more years of people management experience
Advanced Degree (Master’s or Ph.D.) strongly preferred
Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.

Job Responsibility

Develop software algorithms to structure, analyze and leverage structured and unstructured data
Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Apply, optimize, and scale deep learning technologies and algorithms
Document procedures for installation and maintenance
Perform testing and debugging
Define and monitor performance metrics
Translate customer requirements and industry trends into AI/ML products and systems improvements
Develop and drive the organization’s AI and machine learning strategy
Identify new opportunities for AI and machine learning applications
Oversee complex AI and machine learning projects from conception to deployment

What we offer

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career growth opportunities
Inclusive work environment.

Fulltime

Senior Software Engineering Manager - Digital Engineering

Senior Engineering Manager of Digital Engineering responsible for leading back-e...

Location

United States

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

February 28, 2026

Requirements

7+ years of software development experience with focus on enterprise-level solutions and cloud technologies
2+ years of experience leading large cross-functional project management initiatives including microservices, event-driven architectures, and streaming platforms like Apache Kafka
2+ years of experience with Agile/Scrum practices
Bachelor's Degree in Computer Science or related field, or equivalent experience

Job Responsibility

Leading back-end engineering teams in creating exceptional member experiences
Identifying, prioritizing, and shaping complex enterprise initiatives with business stakeholders
Guiding teams of engineers in delivering digital services that enhance healthcare's cost transparency
Overseeing migration of data and services from legacy infrastructure to cloud
Integrating emerging AI and agentic technologies to improve offerings
Providing leadership, coaching, and strategic guidance to application development teams
Leading digital engineering teams responsible for back-end service development, data migration, micro-services, and emerging AI technologies
Influencing strategic roadmaps for future initiatives
Collaborating with business partners to ensure alignment with business initiatives and objectives

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources

Fulltime

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