
Senior Machine Learning Engineer: ML Recall
- Portugal
- Permanente
- Horário completo
- Recall: we don't want to lose good results
- Visual solutions: we would like to deliver end-to-end visual solutions for our customer, including (but not limited to) image search, shop the look, visual recommendations, etc
- Technical platform: we have many different technologies/models inside a team, and we would like to allow other teams to use them widely and integrate in their pipelines
- Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc)
- Tune LLMs to improve our system in different aspects, not limited to what we already have
- Improve business KPIs by using new techniques/models and validating hypotheses.
- Collaborate with other technical teams to exchange experiences to improve the overall
- 3+ years of professional experience in applied machine learning
- Excellent NLP knowledge (especially transformer-based approaches)
- Comprehensive knowledge of classical machine learning
- Extensive Python knowledge
- Experience with any DL framework (we’re using torch)
- Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects)
- You have delivered production ML systems
- Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines)
- You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
- Proactivity: you can't close your eyes to problems, but are ready to solve them
- You are friendly and willing to help your teammates & others
- Nice to have:
- Experience designing, conducting, and analyzing A/B tests
- Experience with Rust (or C/C++)
- Experience with a public cloud like AWS, Azure, or GCP
- Strong knowledge of data structures, algorithms and their trade-off
- Empathy
- Ability to explain difficult concepts
- You love to work on performance optimization, such as increasing result quality and improving code performance
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
- 🎉 Regular team offsites to connect and collaborate