Senior AI Systems & Time-Series Engineer (Global - Remote)

Role Overview

Join to apply for the Senior AI Systems & Time-Series Engineer (Global – Remote) role at Braintrust. We are seeking a senior engineer with deep expertise in probabilistic modeling, time-series forecasting, and modern AI architectures such as JEPA and reinforcement learning. This role is ideal for someone who thrives in noisy, high-uncertainty domains such as finance or space operations and can drive production‑grade deployment of AI systems. You will work on a small, high‑ownership team focused on building real, end‑to‑end systems — not just experiments. Remote-friendly, with significant overlap in US Eastern time preferred.

Contract‑to‑Hire

Contract-to-hire with a partial timezone overlap: PST 6am‑12pm (flexible).

Core Mathematical & Modeling Skills

• Deep probability theory and statistics
• Strong time‑series experience in noisy, high‑uncertainty domains (finance/crypto strongly preferred; space or industrial operations also valued)
• Comfortable with uncertainty quantification, false positives, noisy signals, proper evaluation metrics

Methodologies & Architectures

• Hands‑on building and training of:
  • Joint Embedding Predictive Architectures (JEPA‑style)
  • Reinforcement Learning (offline RL, Decision Transformers, etc.)
  • Modern transformers for sequence/decision modeling
• Bayesian/probabilistic methods and uncertainty estimation experience
• Explicitly looking for real modeling experience, not just “calling someone else’s LLM API”

Systems, Deployment & Data Pipelines

• Containerized model deployment and orchestration (Singularity, Apptainer, multi‑node)
• Building and maintaining large‑scale training/inference pipelines
• Experience with HPC/supercomputing environments (job submission, large datasets, node‑hour scaling) is a strong plus

Application Domains

• Trading / financial time‑series
• Space operations and industrial facility monitoring
• Hierarchical agentic systems and workflow automation

General Profile

• Ships production‑grade systems, not just research notebooks
• Can produce and present tangible evidence of progress (plots, graphs, statistics, MLflow dashboards, etc.) to highly technical stakeholders
• Small team, high ownership, remote‑friendly (significant US Eastern time overlap)

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Industry

Technology, Information and Internet