{"id":57791,"url":"https://alion.io/job/jumio-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":1258,"name":"Jumio","domain":"jumio.com","url":"https://alion.io/company/jumio","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":4,"ghost_share":0.25,"stale_share":0.25,"repost_share":0.25,"time_to_fill_p50_days":77,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":163000,"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":"Computer Vision","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX","optional":false},{"name":"OpenCV","optional":false},{"name":"Pillow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT","optional":false},{"name":"Core ML","optional":true},{"name":"Data Augmentation","optional":true},{"name":"Diffusion Models","optional":true},{"name":"LiteRT","optional":true},{"name":"Synthetic Data","optional":true},{"name":"TFLite","optional":true}],"status":"live","first_seen_at":"2026-06-26T21:29:09Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-10-16T22:05:18Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":112},"description":"We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.\nWhat You’ll Do\nDesign and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition\nCollaborate on benchmarking of models across datasets and operating conditions\nTrain and optimize models using PyTorch, TensorFlow, and/or JAX\nContribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning.\nProduction Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS.\nCollaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team.\nWhat We’re Looking For\nExperience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models)\nStrong Computer Vision fundamentals\nFairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices\nStrong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code\nSystems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow\nCloud Native: Experience with GPU-based training and deploying ML services on AWS\nNice to Have\nResearch Publications in top computer vision venues (CVPR, ICCV, ECCV)\nLarge Scale Search: Familiarity with vector databases and ANN search\nSynthetic Data: Experience with GANs or diffusion models for data augmentation\nMobile/Edge Experience: CoreML, LiteRT, and/or TFLite\nFamiliarity with privacy, security, and compliance considerations in sensitive ML applications\nJumio Values:\nIDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation\nEqual Opportunities:\nJumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.\nAbout Jumio:\nJumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. \nJumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.\nApplicant Data Privacy\nWe will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. 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