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Research Engineer

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ECPI University

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Location:
United States , NYC

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Astera is building AsteraOS, the world’s first real-time Event Intelligence Operating System, a system that understands, models, and predicts events across sports, macro, crypto, and global markets. Our architecture blends: Agentic AI systems; Time-series modeling; Game-theoretic reflexivity; Information-flow analysis; Real-time event ingestion. This requires a new class of engineer, someone who can experiment fast, build prototypes, implement research ideas, and translate mathematical concepts into functional, testable systems.

Job Responsibility:

  • Turning modeling ideas into real, testable, deployable systems
  • Operating at the intersection of theory, experimentation, engineering, and product
  • Taking abstract concepts and converting them into practical models that plug directly into AsteraOS
  • Working independently on complex modeling problems
  • Collaborating tightly with research and engineering leads
  • Playing a central role in shaping the Reflexivity Engine’s early modeling foundations

Requirements:

  • Strong proficiency in Python and one or more deep learning frameworks (PyTorch preferred)
  • Ability to implement models from scratch, not just modify canned architectures
  • Solid grounding in probability, statistics, linear algebra, and optimization
  • Experience training, tuning, and evaluating machine learning models on real datasets
  • Familiarity with time-series modeling, sequence architectures, or generative modeling
  • Ability to convert conceptual ideas into well-designed experiments with clear evaluation logic
  • Experience building prototype models, feature pipelines, and custom loss functions
  • Skill in transforming informal hypotheses into empirical tests with interpretable results
  • Comfort working with incomplete, noisy, or unstructured data
  • Strong ability to write clean, modular, and reproducible research code
  • Experience working with research infrastructure (datasets, GPUs, experiment frameworks)
  • Familiarity with containerization (Docker) and basic cloud workflows
  • Ability to prepare models for production environments (via interfaces, preprocessing, or inference routines)
  • Ability to work across theoretical ML, quant research, backend engineering, and product
  • Strong written and verbal communication — able to articulate assumptions, results, and tradeoffs clearly
  • Proven ability to operate independently and maintain high execution velocity
  • Comfort in a fast-paced environment with rapidly evolving priorities and problem definitions
  • Curiosity-driven and hypothesis-oriented: you enjoy exploring new modeling spaces
  • Empirical discipline: you rely on evidence, not intuition alone
  • Engineering maturity: You create systems that others can rely on and extend
  • High ownership: when given a problem, you take responsibility for delivering a working solution

Additional Information:

Job Posted:
January 05, 2026

Expiration:
January 09, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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