Engineer, ML Systems (Argentina)

Engineer, ML Systems (Argentina)

22 sep
|
adaption
|
Argentina

22 sep

adaption

Argentina

The role

We are obsessed with efficiency - allowing for real-time evolution of AI depends on making adaptable data and algorithms extremely efficient. The ideal candidate brings an expertise in AI/ML, a strong track record of delivering impact and cares about making impact in the real world.

We are obsessed with efficiency - allowing for real-time evolution of AI depends on making adaptable data and algorithms extremely efficient. The ideal candidate brings an expertise in AI/ML, a strong track record of delivering impact and cares about making impact in the real world.

We’re looking for an engineer who thrives at the intersection of applied research and building real-world products. You’ll drive the design and implementation of adaptable data strategies. You’ll work directly with the founding team, contributing to both the research direction and the product vision. This role demands technical excellence and a passion for delivering real-world impact.

Responsibilities
- Deliver Real-World Impact: Lead the development and deployment of efficient,



adaptive ML systems in real production environments.
- Hands-on Impact: The adecuado candidate will own implementation of data products at Adaption. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation.

Qualifications
- Bachelor’s degree in Computer Science, Machine Learning, or a related field
- 3-4 years of experience in machine learning, applied research, or systems-level engineering for AI.
- Strong software engineering skills and familiarity with Python.
- Exposure to working with observability tools in the past (e.g. OpenTelemetry, Docker, Grafana).
- Excellent communication skills and ability to align technical work with high-level goals.
- A mindset of ownership, curiosity, and a bias toward action.
- Experience with online learning, reinforcement learning, or efficient ML architectures.

Above all, we're looking for great teammates wh

📌 Engineer, ML Systems (Argentina)
🏢 adaption
📍 Argentina

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