Staff Machine Learning Engineer

Machine Learning (ML) and Artificial Intelligence(AI) are revolutionizing the way of doing business at a global scale. sennder is a European digital freight forwarder with a datacentric problemsolving approach to build the next generation of supply chain and road logistics services. Do you want to help us to shape the future

We are looking for a Staff Machine Learning Engineer to join our central Machine Learning Engineering teams as part of sennAI department. The departments mission is to achieve Automated & DataDriven Road Logistics. Were a large diverse and multidisciplinary group of ML&AI engineers data scientists backend/frontend engineers and technical product people that are passionate by the new AIempowered digitalization wave that is changing our world. We want to attract retain and grow worldclass talent to form a incredible group that can provide you the most productive and growthfriendly time of your career.

sennAI purpose is to build proprietary technology that can automate sales brokerage and other businessrelated activities. Such automation can enable a flywheel where data acquisition and revenues grow exponentially with one another. The scope of our teams is creating bestinclass predictive analytics services while approaching ML Engineering in an holistic endtoend fashion: from best practices in ML modelling until engineering excellence around our MLOps Platform that lifts the developer experience to a different realm.

Every day we acquire 3M new realtime data points (augmenting by the day!) about the road logistics industry in Europe. This data is used to build the future of logistics marketplaces where pricing optimization loadtocarrier recommendation load search and network optimization happen in an automated fashion. Can you even imagine where we can go with your help Lets #keepOnTrucking... together!

IN THIS ROLE YOU WILL..

• Define the new stateoftheart for machine learning engineering in the road logistics services
• Apply data science concepts to solve problems like pricing optimization loadtocarrier 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 handson 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 crossteam alignment effort on technical dependency finding and/or matching crossdomain architectural design and allinall 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

WHAT WE ARE LOOKING FOR

• 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;
• Aboveaverage Python software engineering skills including best practices like CI/CD and Git
• 2 years of experience with modern MLOps setups
• Teamaholic. We dont believe in superheroes but rather in superteams: 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.: Airflow) 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)*

*List of technologies/methodologies is for illustrative purposes. You are not expected to have experience in each single one of these technologies...but you are expected to know these challenges very well (as well as the associated solution spaces).

Bonus:

• 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 nontrivial applications of ML/DM foundations
• Top tier academic track on ML related conferences (e.g.: KDD NeurIPS ICML AAAI ECML/PKDD)

WHAT YOU CAN EXPECT:

At sennder we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility we value commitment team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on

• Fast growth scaleup 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 biannual 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 gettogethers such as our highly anticipated sennder .
• Prioritize employee engagement and mental wellbeing by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.
• Flexible remotefirst work model where you seamlessly merge virtual productivity and inoffice collaboration with your colleagues.
• Commuter allowance to assist employees with their daily travel expenses and a onetime home office benefit to ensure that youre properly equipped wherever you work.
• Competitive compensation package including objectivebased 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!

We value humility and were as interested in your character as we are in your talent. Please apply even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

If you have any questions or need special accommodation please reach out to us at . As soon as you apply your journey with sennder begins.