Senior Machine Learning Engineer, podimo
Search
+ Employee Stock Ownership Plan
Open podcast platform
Be an early applicant
Open podcast platform
201-500 employees
Be an early applicant
+ Employee Stock Ownership Plan
201-500 employees
Company mission
To enrich life through listening.
Role
Who you are
- You’ll thrive in this role if you enjoy collaborating with talented people, all on the same mission to enrich life through listening
- In your day-to-day, that means that you are motivated by the opportunity to work and develop our product to create a great user experience for our listeners
- We focus on agile methodologies and a customer-centric approach
- You are a collaborative and curious team player who enjoys autonomy and the opportunity to impact the way we work
- We appreciate an open, honest, and respectful communication style, a growth mindset, and the ability to work with a wide range of people
- We appreciate that everyone is different and we want you to bring your best self to work in whatever form that is
- You are an effective diplomat with strong communication and organizational skills
- You are patient, understanding, ego-free, and eager to give and receive constructive feedback
- Proven, hands-on experience with Kubernetes, with a strong understanding of container orchestration, scalability, and service reliability
- Hands-on experience with ElasticSearch building and integrating scalable APIs and search systems
- Deep knowledge of search technologies and principles, including vector search, embeddings, and information retrieval
- Experience with Natural Language Processing (NLP) and Large Language Models (LLMs) understanding of text embeddings, semantic search, and model fine-tuning or integration for production systems
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Kubernetes Engine, Composer (Airflow), Vertex AI, and Pub/Sub
- Practical experience with Infrastructure as Code (IaC) tools such as Terraform, ensuring reproducible, scalable, and automated deployments
- Strong Python expertise, experience working with JVM based languages like Java/Kotlin is a plus
- Knowledge of SQL and relational databases for efficient data querying, transformation, and performance optimization
- Experience designing and maintaining performant data infrastructure for collection, storage, processing, and serving – ideally within GCP
- Background in building scalable and reliable data pipelines (ETL/ELT), ensuring data quality and system robustness
- Familiarity with agile, iterative development environments, collaborating closely with cross-functional teams
- Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
- Self-driven and proactive, comfortable working autonomously in a fast-paced, evolving environment
What the job involves
- We are looking for a Senior ML Engineer to help bring Podimo’s data products and search systems into production
- You’ll play a key role in bridging our Data Science and Tech teams, ensuring that models and algorithms developed by our data scientists are seamlessly integrated, scalable, and production-ready
- You’ll work across the full lifecycle of our machine learning systems: designing data pipelines, deploying and monitoring models in Kubernetes, and building the infrastructure that powers our search, personalization, and NLP-driven features
- This role is both technical and collaborative, helping enforce best practices, implement innovative architectures, and ensure that our AI services deliver real impact to Podimo’s listeners and creators
- Design, build, and maintain scalable data and CI/CD pipelines supporting machine learning and search systems
- Manage and deploy services on Kubernetes, ensuring scalability, reliability, automation, and robust performance monitoring
- Develop and optimize search ranking and retrieval systems using both traditional (BM25, learning-to-rank) and neural approaches to enhance relevance and efficiency
- Implement advanced NLP and query understanding capabilities, including intent detection, semantic parsing, and contextual query rewriting to improve user experience
- Monitor and analyze system performance and user behavior to identify bottlenecks, drive optimization, and continuously improve search and recommendation quality
- Fine-tune semantic search models (e.g., BERT, RoBERTa, cross-encoders) for improved retrieval and ranking performance
- Contribute to backend and infrastructure enhancements, delivering end-to-end, production-level ML and AI systems that power user-facing experiences
Application process
- Please share your CV or LinkedIn profile. We’d love to hear why you’re interested in the job, but it’s not a must. If we move forward with your application, here’s what to expect:
- An initial chat with our Tech recruiter
- A chat with Engineering Manager
- A tech case and interview with potential future colleagues
- We might tweak the process to keep things smooth and enjoyable. We'll be conducting interviews continuously, aiming for a start date around August or asap after that date
Our take
Podcasting and audiobook listening has become and increasingly popular past-time for many. The flexibility of listening to podcasts while doing other activities simultaneously is driving the market growth. Podimo is a podcast and audiobook platform taking the Nordic Countries by storm with its service.
The company boasts its close connection with the creators it hosts on its platform, suggesting a healthy and appealing work relationship for creators to continue using Podimo as its host (an issue Spotify has had multiple times). The company's revenue-share model is not based on the size of following which gives the company a big boost up in the newer podcasters books.
Since its founding in 2019, Podimo has grown to 350+ employees across 20+ different countries and was named the fastest-growing podcast service in Finland. With Apple, Spotify, and Google, it’s easy to think smaller companies don’t have much chance, but Podimo is standing its ground in the Podcast sector and taking on big-name creators. We’re excited to see what recent funding and the acquisition of several companies will do for the company going forward.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2023
$50.7m
LATE VC
Sep 2022
$59.1m
SERIES B
Total funding: $224.9m
Company benefits
- Parental Leave: Up to six months of fully paid parental leave for all new parents
- Equity Participation: All employees have the opportunity to benefit from company growth through our Employee Stock Ownership Plan (ESOP)
- Supportive Culture: Unlimited child sick days, free online therapy sessions, and a collaborative, high-performing environment
- Flexibility & Well-being: Flexible hours and remote work options to support work-life balance
- Performance, Learning & Development: Access to resources to help you thrive and build your career within a high-growth, dynamic company
Company HQ
Vesterbro øst, København
Leadership
Morten Strunge
(Co-Founder & CEO)Experienced CEO, Investor and Founder. Founded and CEO at Mofibo among others, more recently worked as CCO at Storytel AB and Co-founded Winefamly.
Eva Kirstine Lægdsgaard
(Co-Founder & CPO)Worked as Project Manager at Last.fm and has held several roles at Spotify including Director, Artist & Label Services Nordics.
Andreas Sachse
(Co-Founder & CXO)Serial Entrepreneur, co-founded several companies including BASTARD and Plenti. More recently acted as Chief Data Officer at Too Good To Go.
Sverre Dueholm
(Co-Founder)Serial Entrepreneur, previously co-founder and CEO of WakieWakie and now Comundo.
Nikolaj Koppel
(Co-Founder)Previously Vice President of Tivoli, sits on several boards including Member of the Advisory Board at TEDxCopenhagen.
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