Space ML Engineer II-III | Onsite + Equity

True Anomaly, Inc.

Laguna Beach (CA)

In loco

USD 125.000 - 220.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Health insurance
Dental & Vision
HSA/HRA options
Flexible time off
PTO & holidays
401(k) retirement plan
Parental Leave
Lunch provided
Equity compensation
Dog Fridays

Descrizione del lavoro

True Anomaly, Inc. seeks a machine learning-focused engineer to join the Applied Algorithms and Autonomy team. You will help design and develop ML capabilities for object classification, anomaly detection, and data-driven decisions on mission-critical space systems.

You will collaborate with experienced engineers, build pipelines, and grow in a fast-paced, mission-driven environment focused on space superiority and autonomous spacecraft development.

Competenze

  • Bachelor's in computer science, machine learning, data science, or related field with 2–4 years experience, or a Master's with no experience.
  • Proficiency in Python and ML fundamentals with model evaluation knowledge.
  • Exposure to ML frameworks (PyTorch, TensorFlow, or JAX) through coursework or projects.

Mansioni

  • Assist in development, training, and evaluation of ML models for mission-relevant tasks.
  • Support data ingestion, preprocessing, and feature engineering pipelines.
  • Run experiments, track results, and contribute to model iteration.
  • Write clean, tested Python code as part of a collaborative team.
  • Learn from senior engineers and contribute meaningfully from day one.

Conoscenze

Python programming
Machine learning
Data preprocessing
Model evaluation
Experimentation

Formazione

Bachelor's degree in CS/ML/data science
Master's degree in CS/ML (optional)

Strumenti

PyTorch
TensorFlow
JAX

Descrizione del lavoro

True Anomaly, Inc. seeks a machine learning-focused engineer to join the Applied Algorithms and Autonomy team. You will help design and develop ML capabilities for object classification, anomaly detection, and data-driven decisions on mission-critical space systems.

You will collaborate with experienced engineers, build pipelines, and grow in a fast-paced, mission-driven environment focused on space superiority and autonomous spacecraft development.

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