[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Space Executive is a fast-growing FinTech company seeking a Senior ML Engineer to transition machine learning from development to production. The role involves owning the entire lifecycle of ML systems, setting technical direction, and collaborating with leadership to drive business value.
Responsibilities
- Owning the end-to-end lifecycle of ML systems - from prototype to reliable, monitored production
- Setting technical direction on how the team builds and scales ML infrastructure and pipelines
- Working across real-time or high-volume data in a regulated environment
- Monitoring, debugging, and improving model and system performance over time
- Mentoring more junior engineers and raising the technical bar across the team
- Partnering closely with leadership on how ML capability translates into product and business value
Skills
- 5+ years of hands-on experience shipping ML systems, or ML-adjacent infrastructure, into production
- Comfortable owning both the model and the plumbing around it, and setting the technical approach for how that gets done
- Strong Python and SQL
- Comfort with Spark/Kafka for data, PyTorch/TensorFlow if touching models directly
- Experience with AWS or GCP, Docker/Kubernetes, and orchestration tools like Airflow
- Track record of making architectural decisions, not just implementing someone else's
- Senior product engineers who've worked closely with ML systems and shipped production features around them
- Senior infrastructure/platform engineers who've built and owned the data pipelines or deployment systems ML depends on
Benefits
- Equity
- Full medical, dental, and vision coverage
- Flexible PTO
- 401(k) match
- $2,000 annual learning and development budget
- Home office/equipment stipend for remote setup
Company Overview