Staff Machine Learning Engineer
sennder
- Madrid
- Permanente
- Tiempo completo
- Define the new state-of-the-art for machine learning engineering in the road logistics services
- Apply data science concepts to solve problems like pricing optimization, load-to-carrier recommendation, load search and logistics network optimization, among others
- Mentor junior to senior engineers, enabling them towards successful & impactful software deliveries
- Review technical roadmaps and deliveries across teams
- Design and develop health and performance monitoring tools (MLOps) of data pipelines and the machine learning services in production
- Lead design reviews with peers and stakeholders to decide amongst available technologies.
- Be hands-on when needed while review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Lead the cross-team alignment effort on technical dependency finding and/or matching, cross-domain architectural design and all-in-all Artificial Intelligence related topics
- Enforce the best principles in ML System Design by balancing the feedback loop on data exploitation and data acquisition, follow the 80/20 ruling, focus on the right metric in every design decision and once a shippable amount of value is created, go live, evaluate, learn and iterate
- Highly motivated with excellent communication and strong interpersonal skills
- 4+ years of experience in deploying and maintaining in production data pipelines working at scale which are fueling and/or being fueled by machine learning models in production;
- Above-average Python software engineering skills, including best practices like CI/CD and Git
- 2+ years of experience with modern MLOps setups
- Teamaholic. We don’t believe in super-heroes but rather in super-teams: teams that own products and are the single unit of work :)
- Large experience with Agile philosophies (e.g.: Scrum, Scrumban, Kanban, XP) and project management tools (e.g.: JIRA)
- Consensus building mindset, big picture focus and ability to disagree and commit in order to establish a bias to action by default
- Solid understanding of machine learning product lifecycle and the commonly associated components (MLOps): Experimental Environment (e.g.: Jupyter Notebook, MLflow) Workflow management (e.g.: Air-flow), Feature Stores (e.g.: Feast), DataOps/Pipelines (e.g.: Kafka), Model Deployment (e.g.: Terraform), Testing, Serving (e.g.: Docker, Flask). and Monitoring (e.g.: Datadog), Model Repository (e.g.: DVC)
- Deep knowledge of the theory and expertise on the application of Machine Learning;
- Experience with the following MLOps stack: BentoML for model serving, Weights & Biases for Experimentation Platform, Ray for model training and Flyte for orchestration of ML Workflows.
- PhD in Machine Learning and/or data mining fundamental topics and/or non-trivial applications of ML/DM foundations
- Top tier academic track on ML related conferences (e.g.: KDD, NeurIPS, ICML, AAAI, ECML/PKDD)
- Fast growth scale-up with an international team of 1000+ people, 74+ nationalities spread across 11 European offices. With English as our common language, we are able to work together.
- Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings.
- Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder .
- Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.
- Flexible, remote-first work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues.
- Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work.
- Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan.
- Vibrant offices complete with healthy snacks, focus zones, and social areas to connect with your colleagues. Click for a virtual tour and better yet, hope to see you soon!