Machine Learning Engineer

Worldwide | Sept. 1, 2026

Report as Closed

Company: NeuralWorks

Country: Worldwide

Type: Remote

Employment: Full-time

Description: NeuralWorks is where we bring together our imagination and creativity to create incredible things.

NeuralWorks is a high-growth company founded four years ago. We’re working full steam ahead on projects that will turn heads.
We’re a team that combines creativity, curiosity, and a passion for doing things right. We take risks to explore frontiers where others don’t go: a Monte Carlo-based predictive model, a convolutional network for face detection, a Bluetooth position sensor, and the recreation of an acoustic space using finite impulse response.
These are just a few of the challenges where we learn, explore, and complement each other as a team to achieve the unthinkable.
We work on our own projects and support corporations through partnerships where, side by side, we combine knowledge with creativity to imagine, design, and create digital products capable of captivating audiences and making an impact.

👉 Learn more about us

• Degree in Computer Engineering or a related field.
• At least 3 years of practical experience in roles such as Software Engineer or ML Engineer, among others.
• Experience with Python.
• Understanding of data structures with analytical skills related to working with unstructured datasets, advanced knowledge of SQL, including query optimization.
• Experience using CI/CD pipelines and Docker.
• Passion for data processing challenges.
• Experience with cloud servers (GCP, AWS, or Azure—preferably GCP), especially the suite of data processing services.
• Proficiency in English, particularly in reading, as you must be able to consistently read papers, articles, or documentation.
• Communication and collaboration skills. At NeuralWorks, we value diversity! We firmly believe in creating an inclusive, diverse, and equitable work environment. We recognize and celebrate diversity in all its forms and are committed to providing equal opportunities for all candidates.
  “Men apply for a job when they meet 60% of the qualifications, but women only apply if they meet 100%.” Gaucher, D., Friesen, J., & Kay, A. C. (2011).
  We invite you to apply even if you don’t meet all the requirements.

NeuralWorks is a high-growth company founded 4 years ago. We’re working full steam ahead on projects that will make waves.
We’re a team that combines creativity, curiosity, and a passion for doing things right. We take risks to explore frontiers where others don’t go: a Monte Carlo-based predictive model, a convolutional network for face detection, a Bluetooth position sensor, and the recreation of an acoustic space using finite impulse response.
These are just a few of the challenges where we learn, explore, and complement each other as a team to achieve the unimaginable.
We work on our own projects and support corporations through partnerships where, working side by side, we combine knowledge with creativity to imagine, design, and create digital products capable of captivating audiences and making an impact.

👉 Learn more about us

The Data and Analytics team works on various projects that combine massive volumes of data with AI, such as detecting and predicting failures before they occur, optimizing pricing, personalizing the customer experience, optimizing fuel usage, and detecting faces and objects using computer vision.

You’ll work on transforming processes to MLOps and creating custom data products based on analytical models—mostly machine learning, but you may also use a broader range of techniques.

As part of a multidisciplinary team that includes data scientists, translators, DevOps engineers, and data architects, your role will be extremely important and key to the development and execution of products, as you are the one who connects the setup and operation of the environments with the real world. You will be responsible for increasing delivery speed, improving code quality and security, understanding data structure, and optimizing processes for the development team.

In any project you work on, we expect you to demonstrate a strong collaborative spirit, a passion for innovation and coding, and a mindset that prioritizes automation over manual processes.

As an MLE, your work will consist of:

• Working directly with the Data Scientists team to deploy machine learning models into production by using and creating ML pipelines.
• Collecting large volumes and varied datasets.
• Collecting real-world interaction data

  Apply here:

  Web: Apply here

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