Software Engineer (Machine Learning team)

  • Lisbon
Who is Well, from a technical point of view, we leverage the power of a global crowd to provide some of the world’s biggest companies with the high-quality data they need to power their artificial intelligence. We’re instrumental to the progression and development of artificial intelligence and we couldn’t be prouder or more inspired to be involved in an industry that is changing the world. From a personal point of view, we’re a group of big thinkers, high achievers and creative problem solvers. We bond over our shared love of software engineering, data science, and strong coffee. We like online gaming, running marathons, and team drinks. We celebrate authenticity and diversity and we’re invested in what we do. Our mission? World domination, obviously! Who are we looking for? Do you have the drive to work in an innovative and ambitious environment? We’re looking for someone with a determined and proactive mindset, someone inspired and passionate to help us achieve our goals. Our successful candidate is a strong critical thinker, reliable and transparent, with an ability to learn and communicate. We’re looking for someone special to contribute to our culture What will you do? Develop software for Speech and Machine Learning using cloud technologies. Design, implement and evolve microservice applications and internal libraries in Python. Deploy and maintain applications in dynamic environment (Kubernetes, Docker, FaaS). Collaborate with Engineers on setting software engineering tools, platforms, guidelines, and best practices while driving the team on performing trade-off analysis to best match engineering, product, and project constraints. Work in a multidisciplinary and multicultural team, including Machine Learning Engineers, Data Scientists, Data Engineers, Linguists, QAs, DevOps and SREs. Help onboard, teach and coach less experienced Engineers. Requirements BSc or MSc in Computer Science or similar background. Knowledge of RESTful APIs, from the provider as well as the consumer point of view. Worked in cloud solutions such as Azure (mainly Blob Storage, Azure DevOps and AKS) Knowledge of orchestration such as Kubernetes and docker containerization. Microservices architecture DBMS, preferably MS SQL server and message brokers (RabbitMQ). Experience on developing CI / CD pipelines. Code versioning with Git. Experience with Agile methodologies. Knowledge and experience with software quality best practices, design patterns and TDD. Proficiency in both written and spoken English. Nice-to-haves: Nuclio serveless platform. Python libraries for data (like NumPy, Pandas). Bash / Shell Scripting. Knowledge of one of: Data Science, Data Engineering, NLP, Speech Engineering, Linguistics, Signal Processing, Machine Learning, DevOps or CrowdSourcing. Benefits You spend a lot of your time at work, so it should be challenging, fun and interesting. At it will be all of those things and more. Here’s what we offer: Flexible working schedule and hybrid model. We know comfort can boost creativity and performance, so you can manage your schedule and work both from one of our modern office spaces or home. Excellent career development opportunities in a high growth company. With us, you can accomplish your career goals and follow a well-described career path with the support of your supervisor. Culture of feedback and continuous improvement. AI is a fast-paced area, so we keep track of tech trends, and we always ask for feedback. An international and diverse team. We have more than 30 nationalities at our 3 locations, and we provide language classes. Continuous training opportunities. You can choose from many options: leveraging hand-on workshops, unlimited access to Udemy and formal development opportunities. We love to have fun together. We joke a lot, and we can't imagine work without fun activities – we already surfed, raced carts and played soccer together. About Us offers a platform with multiple data delivery options that leverages machine learning technology and human intelligence to deliver quality-guaranteed training data for AI systems. The platform offers self-service and fully customizable solutions that deliver high-quality project-specific training data, enabling AI products reach market quicker. It is this business model that has allowed to raise a total of $63.6M in funding over 4 rounds. Our value proposition is quality, privacy, speed and scale, covering more than 50 different languages. With strong expertise in speech and natural language processing technologies, we have been serving AI companies and Fortune 500 companies since day one. was founded in Seattle and has offices in Lisbon and Porto.