Machine Learning Engineer (Applied Ml)

Adaption; São Paulo; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A cutting-edge AI company in São Paulo seeks a Machine Learning Engineer to lead the design and implementation of efficient ML systems. This mid-senior level position involves acting as a technical advisor and collaborating closely with the founding team. The ideal candidate will have a Bachelor's degree and strong software engineering skills, with 3–4 years of relevant experience. A passion for delivering real-world impact through AI is essential, along with good communication skills. Competitive salary and equity are offered.

Serviços

Competitive salary

Meaningful equity

Collaborative work environment

Qualificações

• 3–4 years of experience in machine learning, applied research, or systems-level engineering for AI.
• Strong software engineering skills and familiarity with ML frameworks.
• Ability to align technical work with business goals.

Responsabilidades

• Lead the development and deployment of efficient, adaptive ML systems in production.
• Act as a trusted technical advisor to strategic partners.
• Own implementation of data products, addressing novel challenges.

Conhecimentos

Machine Learning

Software Engineering

Communication

AI Systems

Formação académica

Bachelor's degree in Computer Science, Machine Learning, or related field

Ferramentas

PyTorch

JAX

TensorFlow

Descrição da oferta de emprego

Machine Learning Engineer (Applied ML) – Adaption

Join to apply for the Machine Learning Engineer (Applied ML) role at Adaption.

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 expertise in AI / ML, a strong track record of delivering impact, and cares about making impact the real world.

Act as a trusted technical advisor to strategic customers—translating needs into actionable plans.

We're looking for a Machine Learning 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

Lead the development and deployment of efficient, adaptive ML systems in real production environments.

Act as a trusted technical advisor to strategic partners—turning complex needs into actionable solutions.

Own implementation of data products at Adaptable Labs, addressing novel challenges related to data, interaction, and evaluation.

Qualifications

Bachelor's degree in Computer Science, Machine Learning, or a related field.

Good communicator, excited about aligning technical execution with business goals.

3–4 years of experience in machine learning, applied research, or systems-level engineering for AI.

Strong software engineering skills and familiarity with ML frameworks (PyTorch, JAX, TensorFlow).

Excellent communication skills and ability to align technical work with high-level goals.

A mindset of ownership, curiosity, and a bias toward action.

Bonus: experience with online learning, reinforcement learning, or efficient ML architectures.

Bonus: track record of deploying ML systems that solved real business problems.

What we offer

Be part of the founding team, shaping both the research agenda and the product direction.

Work at the cutting edge of AI efficiency research, where constraints drive creativity.

Collaborate with world-class peers across ML algorithms and hardware acceleration.

Contribute to building a company where efficiency isn't an afterthought—it's the core principle.

Competitive salary + meaningful equity.

Seniority Level

Mid-Senior level.

Employment Type

Full-time.

Job Function

Engineering and Information Technology.

Technology, Information and Internet.