Senior ML Engineer

Our client is the trusted industry leader of web accessibility and they’re developing a new set of automated testing rules to report on accessibility issues that were previously only possible with manual audits. You will have a possibility to work alongside industry experts and WCAG standard body members as our client directly contribute to helping companies find and fix accessibility issues during website development.

Requirements:

• 5+ years of experience and a proven track record in machine learning or AI engineering, with a strong focus on deploying models in production environments.
• Expert with Python development (5+ years), and experience with common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
• Experience building and maintaining scalable ML infrastructure
• Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows.
• Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar).
• Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems.
• Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility.
• Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences.
• Upper Intermediate or higher English level.

Additional skills:

• Computer Vision, NLP
• Docker & AWS
• Accessibility knowledge

Responsibilities:

• Lead the design, training, and deployment of ML models in production environments with millions of users.
• Apply cutting-edge methods across computer vision, NLP, supervised/unsupervised learning, and representation learning to accessibility problems.
• Own the full ML lifecycle: from data collection and labeling strategy, to model evaluation and monitoring, to continuous improvement in production.
• Drive engineering excellence through expert-level Python development, ensuring codebases are clean, scalable, and maintainable.
• Champion responsible and ethical AI practices, with a focus on transparency, fairness, and accessibility impact.
• Collaborate cross-functionally with product managers, designers, and accessibility experts to identify high-impact opportunities.
• Apply state of the art methods to advance the field of accessibility.

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) — after the trial period.
• Internal education(corporate library, Udemy courses).
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.