Real-Time AI Research Engineer for Real-World Impact

adaption

Argentina

Presencial

ARS 3.000.000 - 6.000.000

Jornada completa

14 días+
Generador de candidaturas

Transforma esta oferta en una entrevista: un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Flexible work
Travel stipend
Lunch stipend
Medical benefits
Paid time off

Descripción de la vacante

adaption is seeking a research-focused candidate to advance efficiency, real-time learning, and interface design for real-world impact. You will explore synthetic data opportunities and design algorithms that interact with the world.

The role emphasizes obsession with cross-domain optimization, scalable systems, and a willingness to take bold ideas beyond the status quo. Join a team that values adaptability and outstanding collaboration.

Formación

  • PhD or equivalent research experience in a computer science field.
  • 4–5+ years of industry experience.
  • Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization.
  • Systems thinking across the full ML stack.
  • Strong programming skills in Python with deep learning frameworks (PyTorch, JAX, TensorFlow).
  • Knowledge of model optimization techniques (RLHF, finetuning).
  • Experience in an industry lab with computing at scale.

Responsabilidades

  • Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback.
  • Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains.
  • Measure what matters: demonstrate real world impact through current algorithms that interact with the world.

Conocimientos

Python programming
RLHF knowledge
Model optimization
Real-time alignment
Systems thinking

Educación

PhD or equivalent in CS

Herramientas

PyTorch
JAX
TensorFlow
ML at scale

Descripción del empleo

adaption is seeking a research-focused candidate to advance efficiency, real-time learning, and interface design for real-world impact. You will explore synthetic data opportunities and design algorithms that interact with the world.

The role emphasizes obsession with cross-domain optimization, scalable systems, and a willingness to take bold ideas beyond the status quo. Join a team that values adaptability and outstanding collaboration.

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