Staff ML Engineer

Accelerate Machine Learning research by building the engineering foundations, workflows, and shared tools that researchers need to iterate at scale. Embedded within the AI team, you will work with researchers and engineers to transform evolving research needs into reliable and reusable capabilities. Unlike a conventional MLOps role focused on deploying a single model or well-defined feature, this role supports a broad and shifting set of research workflows where the ML models and pipelines are, themselves, the product. The ideal candidate brings a strong foundation in platform engineering, MLOps, or DevOps/infrastructure; understands the ML lifecycle; and is motivated to help researchers solve ambiguous problems faster. We work every day with very talented people focused on the same purpose: making the world a more accessible and fair place for everyone. We value collaboration and have a giant team spirit; even remotely, we maintain great proximity to everyone. Come share knowledge and impact the lives of thousands of people in Brazil and across the planet. From the merger of Hand Talk and Sorenson, ASLT was born—an innovation hub where we have incredible professionals working with cutting-edge technology to develop and deliver state-of-the-art sign language translation services powered by AI, enabling real-time bidirectional communication and promoting inclusive opportunities for everyone interacting with technology! So, if you want to be part of this mission to break communication barriers between deaf and hearing people through technology worldwide, work with us and learn more about Hand Talk by Sorenson! Be part of an AAA team. We have an excellent work climate, with the necessary spice for you to live a great experience :) Work side by side with some of the most recognized social entrepreneurs in Brazil and the world. Take protagonism in your career in an environment with challenging projects. A highly challenging and collaborative environment. Possibility of accelerated learning and growth, with the opportunity to implement projects that will become success cases in the digital world. Visit our blog, Youtube channel, social media, or just Google it and you will also find many cool things about Hand Talk by Sorenson!

Responsibilities and assignments

Main Responsibilities:

• Act in partnership with ML researchers in generative AI teams to identify bottlenecks and improve the speed, scale, and reliability of research iteration.
• Design, build, and maintain reusable research infrastructure, workflows, models, interfaces, and automation for experimentation, training, evaluation, data processing, and model packaging.
• Enable reproducible experiments through consistent environments, dependency management, artifact and model versioning, configuration, observability, and CI/CD practices.
• Support scalable ML workloads involving large datasets, GPU clusters, distributed computing, and multiple interconnected models, services, and algorithmic components.
• Deliver pragmatic research support features for immediate needs, keeping them aligned with the architecture and roadmap of the central ML platform.
• Act as a technical bridge between researchers and the ML platform team: translate research pain points into clear platform requirements, validate new features, and help research teams adopt the shared platform.
• Collaborate on improving the research-to-product path, making research results easier to reproduce, integrate, and test.
• Contribute to shared ML engineering standards and architecture across teams and promote engineering practices through hands-on collaboration, technical guidance, and knowledge sharing.
• Evaluate and introduce technologies that materially improve the speed, reliability, scalability, and cost-efficiency of research.

Requirements and qualifications

Technical Skills:

• Proven experience in building reusable infrastructure, tools, or developer platforms that enable multiple engineers or researchers, rather than just a single pipeline for a predefined model or feature.
• Strong proficiency in Python and Linux, including writing sustainable software, automation, and services.
• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, cloud environments such as AWS, and Infrastructure as Code, such as Terraform.
• Practical understanding of the end-to-end ML lifecycle, including data preparation, experimentation, training, evaluation, model and artifact management, packaging, deployment, and monitoring.
• Experience supporting compute-intensive or distributed workloads and diagnosing reliability, performance, resource, and cost bottlenecks.
• Practical knowledge of modern ML frameworks, such as PyTorch, and sufficient familiarity with model behavior and constraints to collaborate effectively with researchers. This is not a research scientist role.
• Ability to work with ambiguous and evolving requirements, discovering the underlying need and transforming it into simple and reusable engineering capabilities.
• Strong communication and collaboration skills between research, engineering, and platform teams.
• Advanced English required - conversational, writing, and reading.

Behavioral Skills:

• Interest in diversity, inclusion, and accessibility;
• Curiosity;
• Collaborativeness;
• Structure and orientation toward action;
• Comfortable working in ambiguity and early-stage environments;
• Focus on impact — not just output.

Desirable:

• Experience enabling research in ML domains such as language modeling, machine translation, computer vision, multimodal or generative AI, robotics, and autonomous systems.
• Experience scaling GPU clusters for training, distributed computing, and large-scale data processing.
• Experience building researcher-facing ML platforms, self-service experimentation environments, and tools used across many evolving research workflows.
• Experience helping research teams migrate to or adopt a shared ML platform.
• Knowledge of inference optimization techniques, such as custom GPU kernels. This is valuable but secondary to ML research support and infrastructure experience.

Additional information

OUR BENEFITS:

• CLT Contract: Your security and all your rights guaranteed from day one.
• Caju Benefits Card (R$ 1,160.00): Flexibility to use your balance as you prefer: meal, food, home office, culture, and mobility!
• Remote Work - From Wherever You Are! Have the freedom to work from anywhere in Brazil, with flexibility and comfort.
• SulAmérica Health Plan
• SulAmérica Dental Plan
• SulAmérica Life Insurance
• Online consultations with specialists at your fingertips through Conexa Saúde – telemedicine.
• Wellhub: To always work in your best version!
• Extended Year-End Break: Celebrate the holidays with more peace of mind! Enjoy a prolonged period to recharge your energies with your family and friends.
• Birthday day off: So you can have a special day of rest in your birthday month!
• Extended Parental Leave: Support and quality time for those building or growing their families.
• Continuous Professional Development: Access top platforms like LinkedIn Learning, in addition to an annual allowance for courses and training in your area. Invest in yourself!
• University partnerships: Support to go further through discounts and giveaways!
• Libras training: Learn this language that is so important to our community!
• English Pass: English learning to continue evolving in your career!
• Work materials sent in your Onboarding kit.