CrawlJobs Logo

Machine Learning Engineering Manager

spotify.com Logo

Spotify

Location Icon

Location:
Spain

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of audiobooks, music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. This team is the machine learning team within the PZN Strategic Programming (PSP) Product Area, responsible for powering all targeting of strategic and paid promotions across Spotify’s major surfaces—including Home, Browse, and Search. We build the ML infrastructure and models that determine which users should see which content—be it music, podcasts, audiobooks, or video—so that every intervention delivers value to listeners and impact for creators. Team owns the entire ML stack for targeting, including real-time decisioning and campaign-level optimization. We work at the intersection of machine learning, backend engineering, and large-scale distributed systems—ensuring that Spotify’s strategic programming is personalized, scalable, and measurable. We are now looking for a Machine Learning Engineering Manager to lead this impactful team. In this role, you’ll guide ML, backend and data engineers working on mission-critical systems that sit at the heart of Spotify’s content promotion strategy. You'll shape how we evolve our targeting capabilities to support diverse content formats, deliver engaging experiences to users, and drive measurable outcomes for artists, publishers, and partners. In this role, you will lead a team of Engineers all based in Europe, and will collaborate with a product manager and other partners to define and shape product roadmap and technical strategy. You will also be responsible for the individual growth and organizational health of your team.

Job Responsibility:

  • Manage a team building recommendation systems for 500M+ monthly Spotify customers
  • Collaborate with product, design and insights partners to create a roadmap, define success metrics and deliver products
  • Influence the technical design and architecture of our stack
  • Support your team in developing scalable and reliable systems
  • Manage stakeholders such as Music, Audiobook and Podcast mission
  • Lead other efforts that fit your passion and Spotify’s needs

Requirements:

  • You understand the value of a diverse workforce
  • You have a demonstrated track record of moving tech orgs closer to representing the world we live in
  • you build teams with these values
  • You have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential
  • You have demonstrated the ability to deliver high quality, reliable, and cost-efficient recommendation systems for large scale (100M+) consumer applications
  • You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity
  • You stay up-to-date with the state-of-the-art technology in machine learning
  • You have managed teams and individuals for a minimum of 2 years
What we offer:
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Flexible share incentives letting you choose how you share in our success
  • Global parental leave, six months off - for all new parents
  • All The Feels, our employee assistance program and self-care hub
  • Flexible public holidays, swap days off according to your values and beliefs

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning Engineering Manager

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...
Location
Location
United States , San Francisco
Salary
Salary:
175100.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
  • 8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
  • Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
  • Experience in managing ML projects end-to-end including deployment and monitoring
  • Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
  • A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
  • Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
  • Proficiency in visualization tools (e.g. Streamlit, Tableau)
Job Responsibility
Job Responsibility
  • Influence strategy & important decisions around customer friction by surfacing data driven insights
  • Define, set and report on department level metrics or KRs to the CSS Executive team
  • Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
  • Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...
Location
Location
United States , Seattle; Austin; New York; Washington DC
Salary
Salary:
190300.00 - 305600.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

We are looking for a senior ML engineering manager to join the Teamwork Graph te...
Location
Location
United States , Mountain View; San Francisco; Seattle
Salary
Salary:
190300.00 - 305700.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...
Location
Location
United States , San Francisco
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources.
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team works cross-functionally, providing genera...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Wide range of perks and benefits to support family and personal goals
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team sits within the Search and AI Conversation...
Location
Location
United States , Seattle; Mountain View
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...
Location
Location
United States , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 7-10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • A strong foundation in mathematics and statistics
  • Proficiency in programming languages such as Python, R, or Java
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Advanced knowledge and experience in deep learning
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Has experience in providing technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

This role involves designing, developing, and optimizing AI and machine learning...
Location
Location
United States , Spring
Salary
Salary:
79700.00 - 183200.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • 0-2 years’ experience
  • Proficiency in programming languages such as Python, R, or Java
  • Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
  • A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
  • In-depth knowledge of machine learning algorithms, techniques, and concepts
  • Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
  • Experience with SQL and databases and data visualization tools like Matplotlib or Tableau
Job Responsibility
Job Responsibility
  • Designs, develops and implements AI and machine learning models
  • Gathers and analyzes relevant data sets to train and test machine learning (ML) models
  • Optimizes algorithms and models to improve their performance
  • Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
  • Keeps accurate and up-to-date AI and machine learning project documentation
  • Prepares reports and presents findings or recommendations to stakeholders
  • Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
  • Actively seeks and incorporates feedback from the engineering manager or team leader
  • Attends daily or weekly stand-up meetings
  • Prepares and delivers detailed presentations and reports to stakeholders
What we offer
What we offer
  • Comprehensive health & wellbeing benefits
  • Investment in personal & professional development
  • Inclusive work environment celebrating individual uniqueness
  • Flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right