Lead Machine Learning Scientist

buscojobs España; Barcelona; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading Chat Marketing platform in Barcelona is seeking an experienced Machine Learning Scientist to lead their ML and AI team. This role involves developing generative AI products, ensuring alignment with product strategies, and mentoring team members. Candidates can start remotely with relocation support provided for a hybrid work format.

Servicios

Relocation support

Flexible benefits plan

Health insurance

Professional development budget

Free meals and snacks in the office

Formación

• 6+ years of experience as a Machine Learning Scientist or Engineer.
• Strong proficiency in Python and SQL.
• Experience with generative AI and ML frameworks.

Responsabilidades

• Lead end-to-end development of generative AI products.
• Establish testing and monitoring strategies for AI outputs.
• Collaborate with product teams for AI solutions alignment.

Conocimientos

Leadership

Communication

Python

SQL

MLOps

Generative AI

Educación

Master's degree in Computer Science or related field

Herramientas

TensorFlow

PyTorch

AWS

Snowflake

Descripción del empleo

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.

Trusted by over 1 million brands in 170+ countries, we're an official Meta Business Partner, backed by top investors, including Bessemer Venture Partners.

With 200+ teammates across international offices in Barcelona, Austin, Amsterdam, São Paulo, and Yerevan — Manychat helps businesses across the globe improve their ROI and grow faster.

Manychat automates millions of conversations each day, helping to build connections and drive value for over a million creators and businesses around the world. We're seeking an experienced Machine Learning Scientist to take on a technical leadership role of our ML and AI team, focusing on developing AI products – particularly around generative AI agents. Reporting to the Head of Data, you’ll collaborate closely with Product Managers, Engineering, and Data leaders, ensuring our AI solutions align seamlessly with product strategy and deliver business value.

• Lead Applied ML Development: Drive end-to-end development of generative AI and other ML products, working closely with stream-aligned product teams.
• AI operations: Establish robust testing and monitoring strategies for generative AI outputs, ensuring reliability and accuracy.
• MLOps Advancement: Collaborate with the Data Platform team to enhance model deployment, monitoring, validation, and governance processes.
• Technical Leadership: Provide hands-on technical leadership, mentor team members, set best practices, and shape our AI technical roadmap.
• ML Expertise: 6+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, or equivalent. Extensive experience leading the development and deployment of ML models across the full product lifecycle, in collaboration with Product and Engineering teams.
• Experience with GenAI: Prior experience with generative AI and LLM models is strongly preferred, including prompt engineering and RAG applications. Experience Deploying and scaling such models is a big plus.
• Technical Skills: Strong proficiency in Python, SQL, key ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, Ray, Keras, Spark, etc.), modern DevOps practices, and cloud infrastructure (AWS and Snowflake preferred).
• MLOps Knowledge: Hands-on experience improving ML lifecycle management (model testing, deployment, monitoring).
• Leadership & Communication: Effective leadership, mentoring, and cross-functional communication skills.

We care about your growth, well-being, and comfort

• Candidates outside of Barcelona can start onboarding and complete the probation period remotely with further relocation to the city for a hybrid work format (with free meals and snacks in the office).
• Relocation support through airplane tickets, accommodations for up to three weeks, and a relocation bonus.
• Professional development budget for relevant conference tickets, training programs, or courses.
• Flexible benefits plan to choose the perks that fit your needs.
• Health insurance, including dentistry, psychology sessions, nutrition consultations, surgery, and travel assistance.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.