{"id":1927540,"url":"https://alion.io/job/imoca-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":37644,"name":"Imoca","domain":"imoca.org","url":"https://alion.io/company/imoca","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T20:19:55Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-08T01:33:17Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Join our vibrant fintech startup, Benjamin, backed by top-tier venture capitalists Play Ventures & F4 Fund. We're on the lookout for an experienced and forward-thinking Senior Machine Learning Engineer to our team!\nAt Benjamin, we're passionate about rewarding everyday actions through our MoMo’s (Money Moments). Benjamin is a new cash-rewards platform for consumers, merchants and gamers to earn cash, called Benjamin Money Moments, by completing daily tasks, playing casual games, viewing content and ads, and making everyday card purchases with cash back.\nWhat you'll do:\nOwn the full ML lifecycle: EDA, problem framing, prototyping, productionizing, and operating models in production.\nDesign, build and deploy ML models that power core product and business decisions.\nBuild and run training, retraining and evaluation pipelines, including experiment tracking and model versioning with MLflow.\nSet up monitoring for model performance, data quality and drift, and act on what it shows.\nWrite well-tested, maintainable Python and ship through CI/CD on AWS.\nPartner with data engineering on reliable, efficient data pipelines and SQL-based feature work.\nRaise the engineering bar through code reviews, design discussions and mentoring other engineers and data scientists.\nQualifications\n5+ years of hands-on Python software development, with strong engineering practices: testing, code review, CI/CD, Git, and working with AWS and SQL.\n3+ years of hands-on experience with DS/ML tools and frameworks such as PyTorch, MLflow, NumPy, pandas and scikit-learn.\nA track record of building, deploying and maintaining ML models in production, not only in notebooks.\nComfort owning the whole ML development cycle: EDA, prototyping, productionizing, and building and operating (re)training and evaluation pipelines.\nClear communication with technical and non-technical colleagues, and the judgment to balance model quality against delivery speed.\nIdeal Candidate:\nExperience building recommender systems.\nExperience in the AdTech industry.\nExperience building deep neural network (DNN) models.\nExperience with GCP and Snowflake.\nWhy Join Us?\nCompetitive pay: We offer great salaries and bonuses.\nThriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.\nCutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.\nPositive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.\nAbout Benjamin\nBenjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple.\nWe are an equal opportunity employer and value diversity at our company. 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