Machine Learning Engineer
Sardine · Remote · North America · United States · Canada ·
COMPENSATION
$175k – $220k
Listed on the employer's job board (Ashby)
- Fully remote (US/Canada)
- Python + Go backend
- Real-time ML infrastructure
- GCP + Kubernetes
- Equity + 401k match
You will own the systems enabling real-time fraud detection, focusing on model serving infrastructure and sub-250ms latency budgets. The team builds custom models for clients, while you manage the deployment platform and scoring paths that process millions of sessions using device and behavioral signals.
What you'll do
- Build model serving infrastructure for real-time inference and feature retrieval
- Create deployment paths for data scientists to ship models independently
- Monitor production models for drift, retraining needs, and incident response
- Optimize pipelines converting raw signals into production-ready features
- Work across Python and Go to maintain fast inference within request paths
- Develop models directly for approximately twenty percent of your time
- Ensure testing, observability, security, and compliance in regulated environments
What you'll need
- Experience building model serving infrastructure rather than just using it
- Production ownership of ML systems including debugging and incident resolution
- Strong Python skills with solid software engineering and CI/CD fundamentals
- Comfort with Kubernetes, containers, GCP, and infrastructure-as-code
- Ability to debug model issues by distinguishing data, pipeline, or model faults
- Experience building self-serve tooling for engineers and data scientists
Nice to have
- Domain knowledge in fraud, risk management, or cybersecurity
- Familiarity with Docker, Kubernetes, and modern DevOps frameworks
- Understanding of browser APIs and high-entropy data collection techniques
- Experience leveraging frontier LLMs for automation tasks
Stack
- Python
- Go
- Kubernetes
- GCP
- Docker
How you'll work
- Remote-first culture based in United States or Canada
- Flexible schedule focused on performance rather than hours worked
- Home base required in hiring country, not borderless remote work
What you get
- Generous compensation package with cash and equity
- Early exercise options available for all employees
- Health, dental, and vision coverage for US and Canada residents
- Four percent matching for 401k or RRSP contributions
- MacBook Pro provided along with home office setup stipend
- Monthly meal and social meet-up stipends included
- Annual allowances for health, wellness, and learning expenses