11 publicaciones de empleo destacadas de ml en parque patricios, b (¡Están contratando!)

Machine Learning Manager, Security & Research
Intuition Machines, Inc. —Buenos Aires, Buenos Aires
Postulación rápida
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ScaleUp —Buenos Aires, Buenos Aires
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Principal Engineer, AI Platform & Runtime
Medallia —Buenos Aires, Buenos Aires
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Senior Data Engineer
Marvik —Buenos Aires, Buenos Aires
Support Executive
Darwin AI —Buenos Aires, Buenos Aires
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Lead Data Engineer
Marvik —Buenos Aires, Buenos Aires
GDS Next Frontier - Quantum Senior Associate - Argentina
EY —Capital Federal, Buenos Aires
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDS
EY —Capital Federal, Buenos Aires
Staff Data Engineer
Robots and Pencils —Capital Federal, Buenos Aires
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Software Engineer, Robotics
Scale AI —Buenos Aires, Buenos Aires

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Machine Learning Manager, Security & Research

Intuition Machines, Inc.
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Descripción completa del empleo

Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our best-known product, the hCaptcha security suite.
Our approach is simple: high agency, small teams, and rapid iteration. AI/ML is at the core of our products. We build our systems for speed, with a team distributed around the world.

As an Engineering Manager you will lead our ML Security team as we build security products including bot, agent, and human fraud and abuse detection. You will execute roadmaps, iterate on current and new products, and drive team growth while working with research, product, and tech leads. Engineering Manager roles are hands on and highly technical here: while you won't be coding every day, you are expected to review code/PRs, act as a tech lead when required, and mentor engineers in your areas of expertise.

Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.

What you will do:

Lead ML Security team execution and delivery, collaborating with cross-functional partners.
Make architectural and technical decisions, staying hands-on with code reviews and design.
Mentor team members, ensuring their growth and engagement.
Build ML solutions from data exploration through production deployment and monitoring.

What you will learn:

Experience with systems impacting hundreds of millions of users.
Expertise in real-time abuse detection and prevention at scale.
End-to-end impact from raw data to production solutions.

What are we looking for:

Strong ML/data science or engineering background with production ML experience.
Engineering management and/or tech lead experience with ability to engage engineers and researchers on technical topics.
Expertise in high-availability systems, Python, ML pipelines, and distributed systems.
Experience with MLOps, ML systems, and large-scale internet-facing applications.
Strong communication skills across technical and non-technical audiences.
Ability to prioritize and coordinate engineering team work.

What we offer:

Fully remote position with flexible working hours.
An inspiring team of colleagues spread all over the world.
Pleasant, modern development and deployment workflows: ship early, ship often.
High impact: lots of users, happy customers, high growth, and cutting edge R&D.
Flat organization, direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

Postulación rápida

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ml empleos en parque patricios, b

Machine Learning Manager, Security & Research

Backend Engineer – Python, AWS & GenAI

Principal Engineer, AI Platform & Runtime

Senior Data Engineer

Support Executive

Lead Data Engineer

GDS Next Frontier - Quantum Senior Associate - Argentina

Senior, Java Software Engineer

NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDS

Staff Data Engineer

Software Engineer, Robotics

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