Senior ML Platform Engineer, Mistplay
Loyalty app for mobile gamers
Be an early applicant
Loyalty app for mobile gamers
201-500 employees
Be an early applicant
201-500 employees
Company mission
To be the best way to play mobile games for everyone, everywhere.
Role
Who you are
- Relevant experience can range from working on a wide variety of optimization and classification problems, e.g. collaborative filtering/recommendation, fraud detection, segmentation, propensity modeling, text/sentiment classification, etc
- 5+ years building and operating production-grade ML/data platforms with a focus on serving, reliability, and developer experience
- Strong software engineering in Python, Go, or Java; experience building resilient services, APIs, and automation tooling with high test coverage
- Deep experience with AWS SageMaker inference: endpoint configuration, containerization, model packaging, autoscaling, serverless vs
- Real-time trade-offs, MME, A/B and canary releases
- Expertise with online feature stores like Redis/Valkey in ML serving contexts
- Proven Terraform experience managing ML and data infra end-to-end: modules, workspaces, drift detection, change reviews, and safe rollbacks; familiarity with GitOps patterns
- Airflow orchestration at scale: dependency modeling, sensors, retries, SLAs, backfills, DAG factories, and integrations with registries, artifact stores, and Terraform pipelines
- Familiarity with ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow) from a platform-integration perspective to support diverse runtimes and containers
- Observability for ML Worflows: metrics/logs/traces, performance profiling, capacity planning, cost monitoring, and runbooks
- Excellent communication and cross-functional collaboration with Data Science, Data Engineering, DevOps and Backend
What the job involves
- Reporting to the Director of Data and Machine Learning Platform, the Senior ML Platform Engineer within Mistplay’s Data Team will play a key role in researching and developing machine learning solutions to solve complex business problems
- The Senior ML Platform Engineer will work closely with a cross-functional team to identify areas for improvement and design and implement scalable solutions
- Design, build, and operate standardized training-to-serving pipelines with Airflow, covering artifact management, environment provisioning, packaging, deployment, and rollback for SageMaker endpoints
- Own real-time and batch inference on SageMaker: multi-model endpoints, serverless inference where appropriate, blue/green and canary strategies, autoscaling policies, and cost controls (spot strategies, instance right-sizing)
- Implement ultra-low-latency serving patterns with Redis/Valkey: feature caching, online feature retrieval, request-scoped state, model response caching, and rate limiting/backpressure for bursty traffic
- Provision and manage ML/data infrastructure with Terraform: SageMaker endpoints/configs, ECR/ECS/EKS resources, networking/VPC endpoints, ElastiCache/Valkey clusters, observability stacks, secrets, and IAM
- Build platform abstractions and golden paths: Airflow DAG templates, CLI/SDKs, cookie-cutter repos, and CI/CD pipelines that take models from notebooks to production predictably
- Establish and run model lifecycle governance: model/feature registries, approval workflows, promotion policies, lineage, and audit trails integrated with Airflow runs and Terraform state
- Implement end-to-end observability: data/feature freshness checks, drift/quality gates, model performance/latency SLOs, infra health dashboards, tracing, and alerting—plus incident response and postmortems
- Partner with Security, SRE, and Data Engineering on private networking, policy-as-code, PII handling, least-privilege IAM, and cost-efficient architectures across environments
- Evaluate, integrate, and rationalize platform tooling (e.g. , MLflow registry, feature stores, serving gateways); lead migrations with clear change management and minimal downtime
Our take
Customer retention in mobile gaming can lead to increased ad revenue and more immersive experiences. Mistplay is a loyalty program helping publishers achieve a higher hit rate on their games, whilst simultaneously rewarding gamers for their loyalty.
Its loyalty programme involves curated game recommendation libraries, as well as rewards for partaking in challenges and tournaments. Publishers gain increased ad revenue for partnering with Mistplay as well as the chance to capitalize on a 6 million+ userbase. Indeed, Mistplay has grown significantly since its launch in 2016, resulting in a buyout by GrowthCurve Capital in 2021.
Whilst it mainly focused on Android devices up until 2025, the release of Mistplay for iPhone marks a step up for the company. It's rewarded advertising and loyalty programmes can now reach an even larger consumer base, indicating a promising future for the pioneering ad and gaming platform.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company HQ
International District, Montreal, QC
Leadership
Henri-Charles Machalani
(Co-Founder & Board Member)Henri is also an Investor at Groq and a Board Member at Sami Agtech.
Eugene Joannides
(Co-Founder & Board Member)Eugene is also an Investor at Attain, DataGPT and GENAIZ, and a Limited Partner at GrowthCurve Capital. He previously studied Finance at Concordia University.
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