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Staff ai/ml research engineer

4 semanas atrás

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The Staff AI/ML Engineer is responsible for designing, developing, and deploying artificial intelligence solutions tailored to solve real business problems.

As an AI Engineer, the goal is to find the adequate solution for the problem, which can range from simple sets of rules such as specialized systems to complex deep learning models, computer vision, LLMs or optimization algorithms. Sometimes, the best solution will be ML-driven. Other times, it might just be something simpler.
A scientific level of rigor is expected, with thorough documentation and reproducible experiments that evidence the effectiveness of each solution. It is also expected to stay updated with AI advancements and effectively gather and incorporate domain expertise into AI development.

Solutions are expected to be developed end-to-end, from the experimentation to the deployment, meeting software engineering high standards. An engineer also knows when to apply an existing solution instead of developing a new one, accelerating value delivery.

The AI Engineer is, above all, a skillful problem-solver, and a core piece of all products developed by Shape Digital.

Responsibilities:

  • Explore and identify opportunities for AI-powered solutions in the industrial sector.
  • Design, prototype, and implement AI models and subsystems end-to-end, ensuring scalability and performance in production environments.
  • Write and support others in writing high-quality, maintainable code following engineering best practices.
  • Collaborate with domain experts to translate business knowledge into accurate and practical AI solutions.
  • Manage the AI research backlog and prioritize initiatives based on product and business needs.
  • Mentor team members and promote scientific and engineering best practices across the team.
  • Ensure that all AI development follows rigorous scientific principles, with well-structured and documented experiments.
  • Stay up to date with the latest AI advancements and incorporate relevant methods and tools.
  • Lead the development of research papers, technical publications, and patent applications based on the teams innovations, helping safeguard intellectual property.

Requirements:

  • A degree in STEM fields such as Computer Science, Engineering, Mathematics, or related areas.
  • Proficiency in Machine Learning and Python, with experience in production-grade ML workflows.
  • Strong foundation in experimental design, causal inference, and research-to-deployment pipelines.
  • Solid experience with libraries such as PyTorch, TensorFlow, Scikit-learn, and other core ML tools.
  • Ability to work with complex models and systems, including deep learning and probabilistic approaches.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Advanced or fluent English (written and spoken).

Differentials:

  • Previous experience in industrial or asset-intensive environments.
  • Knowledge of predictive maintenance, anomaly detection, or time-series modeling.
  • Experience leading AI research initiatives or publishing in relevant AI/ML conferences and journals.
  • Contributions to open-source AI/ML frameworks or tools.
  • Experience with AI infrastructure and MLOps practices in production environments.

Benefits:

  • PPR (Profit Sharing): Possibility of extra compensation based on the companys results, according to your performance.
  • Health and Dental Plan: To ensure your care and well-being
  • Flexible Benefit: Receive an amount that can be used according to your needs, including food, transportation, education, culture, and health. You decide how to use it
  • Flexible Hours: Work at the best time for you and have a better quality of life.
  • Massages and Manicure in the Office: So you can relax and feel good about yourself.
  • Mentorship Program: Access development opportunities with the help of experienced professionals.
  • Gympass: To keep your health in check and take care of your body.
  • Snacks in the Office: Because everyone loves a snack at work
  • Inclusive Environment: We value diversity and always strive to create a space where everyone can be authentic, respected, and feel part of something bigger.
  • Day off in Your Birthday Month: A day off in your birthday month to celebrate in any way you prefer
  • Extended Maternity/Paternity Leave: So you can enjoy this important time with your family, with peace of mind that your professional life will remain well-supported.
  • Childcare Assistance: To support you with the care of your young children.
  • Continuous Individualized Development Support: We offer support for your professional growth, respecting your personal needs and goals.
  • Culture and Well-being: We create an environment that values mental health, work-life balance, and encourages connection with culture.
The benefits provided with this position are not deducted from your paycheck