Machine Learning Engineer (100% remote)

Tether.io

Brasil

Teletrabalho

BRL 545 256 - 708 832

Tempo integral

14 dias+

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Resumo da oferta

A leading AI technology company is seeking a skilled Machine Learning Engineer to join their remote team. You will develop AI models to advance our understanding of neural mechanisms, working closely with data scientists on innovative projects in brain-computer interfaces. The ideal candidate has strong expertise in Python, deep learning, and analytical skills, along with a degree in relevant fields. This is a full-time remote position offering a chance to work on groundbreaking research.

Qualificações

3+ years of experience in industry or research.
Experience in developing machine learning algorithms.
Strong scientific background and ability to formulate hypotheses.

Responsabilidades

Develop and evaluate scalable deep learning algorithms.
Collaborate with data scientists on research.
Identify bottlenecks in data processing and improve solutions.

Conhecimentos

Python programming

Deep learning techniques

Analytical skills

Project management

Formação académica

Degree in Computer Science, Statistics, or related field

PhD in relevant fields (preferred)

Ferramentas

PyTorch

HuggingFace

Transformers

Descrição da oferta de emprego

Overview

Machine Learning Engineer (100% remote) role at Tether.io

At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused.

We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms, building encoding and decoding models and applying this knowledge to real-world applications such as brain-computer interfaces. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.

Responsibilities

Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.
Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.
Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.
Maintain high standards of code quality, organization, and automatization across all projects.
Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.
Write and revise papers, participate in conferences, communicate and disseminate results.

Basic Qualifications

Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
3+ years of experience in industry or research.
Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.
Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.
Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.
Proficient in managing unstructured datasets with strong analytical skills.
Demonstrated project management and organizational skills.
Proven ability to support and collaborate with cross-functional teams in a dynamic environment.

Preferred Qualifications

PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
Scientific publications in top-tier AI and neuroscience conferences or peer-reviewed journals.
Familiarity with deep learning libraries such as PyTorch, HuggingFace, Transformers, Accelerate and Diffusers.
Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLaMAs.
Experience with data and model visualization tools.
Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, etc.).

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

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