Trivelta · 20 hours ago
Senior Machine Learning Engineer (Implementation & Scale)
Boston, MA
Full-time
Hybrid
Senior Level
5+ years expTrivelta builds technology for social-first gaming experiences and is seeking a Senior Machine Learning Engineer to transform proprietary datasets into high-performance models. The role involves implementing state-of-the-art ML models, developing data pipelines, and collaborating with data and backend engineers to enhance user-facing products.
SoftwareWeb Development
Responsibilities
Model Implementation: Design, train, and fine-tune state-of-the-art ML models (Deep Learning, Transformers, Gradient Boosting, etc.) specifically optimized for our internal datasets
End-to-End Pipeline Development: Build and maintain robust data pipelines and training workflows to ensure reproducible and scalable model development
Optimization & Performance: Profile and optimize model latency and throughput for production environments
Data Centricity: Perform deep exploratory data analysis (EDA) to identify biases, signal-to-noise ratios, and feature engineering opportunities within our unique data silos
Collaboration: Work closely with Data Engineers to streamline data ingestion and Backend Engineers to integrate model APIs into our user-facing products
Qualification
Required
5+ years of professional experience in Machine Learning or Software Engineering, with at least 3 years focused on deploying models to production
Expert-level Python (and ideally C++ or Go for performance-critical components)
Deep fluency in PyTorch, TensorFlow, or JAX
Experience with SQL, Spark, and vector databases (e.g., Pinecone, Milvus)
Familiarity with Weights & Biases, MLflow, Kubeflow, or similar orchestration tools
Strong understanding of linear algebra, calculus, and statistics as applied to ML optimization
MS or PhD in Computer Science, Mathematics, or a related field (or equivalent 'battle-tested' industry experience)
Preferred
Pragmatism: You prefer a simple, explainable model that works today over a complex one that stays in 'Research' for six months
Ownership: You don't just 'hand off' code; you monitor your models in the wild and jump in when they drift
Mentorship: You enjoy leveling up junior engineers through rigorous code reviews and architectural discussions
Company
Trivelta
Trivelta delivers next-generation iGaming infrastructure purpose-built for modern operators.
201-500 employees
Funding
Current Stage
Growth StageRecent News
2026-01-16
2026-01-16
Canada NewsWire
2026-01-16
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