Senior Machine Learning Founding Engineer

35k - 45k PLN/ mies.B2B
SeniorInne·B2B
#404597·Dodano 8 dni temu·2
Źródło: justjoin.it
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Tech Stack / Keywords

PythonPyTorchJAXAgentic AI

Firma i stanowisko

We are representing a high-potential AI product venture backed by a $100M+ initial commitment from a highly profitable global tech group. The company is building next-generation, AI-native workspace and communication software designed to fundamentally transform how millions of users execute daily workflows. The team focuses on Agentic AI - multi-step reasoning, tool integration, and persistent long-term context operating under permissioned autonomy (always keeping the user in control). The team combines deep AI research with rapid, hands-on production engineering.

Wymagania

  • Proven track record of architecting, deploying, and maintaining production AI/ML systems at scale.
  • Strong software design principles with a focus on clean code and scalable architecture.
  • Understanding of modern foundation model behavior, failure modes, function calling, and edge-case resolution in live environments (Agentic AI intuition).
  • Comfortable navigating ambiguity and prioritizing under production constraints such as latency, cost, and safety.
  • Ability to drive projects independently to completion.

Nice to have:

  • Experience with GPU-accelerated training and inference pipelines, distributed systems, evaluation, and observability frameworks.

Obowiązki

  • Architect and ship production-grade ML systems powering proactive AI agents, task-triage engines, and multi-step reasoning workflows.
  • Take full accountability for the ML lifecycle including data curation, model fine-tuning/training, inference optimization, evaluation, and production monitoring.
  • Build reliable systems that interact with external tools and APIs while maintaining high reliability, safety, and persistent contextual memory.
  • Translate state-of-the-art LLM and agentic research into high-availability software handling real-world user workflows.
  • Lead design reviews, set high engineering standards, and mentor peers across the ML team.
  • Partner closely with Product, Engineering, and Research leads to translate complex user problems into shipped features.

Benefity

  • Work remotely with full flexibility over working hours and location.
  • Be a founding member with impact on technical architecture and product strategy.
  • Highly competitive cash plus equity compensation.
  • Opportunity to work on challenging engineering problems involving model non-determinism, real-world tool execution, and low-latency agent reasoning.
  • Backed by an initial $100M investment providing long-term financial stability.

Inne informacje

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