Location: Remote (US or Spain preferred) Cercle Overview: Cercle™ is an AI technology company focused on advancing healthcare for all women.
Our AI platform and tools work together to unlock insights for women's healthcare companies. Current and future customers range from clinics and labs to hospitals and pharmaceuticals. We are seeking exceptional sales leaders to partner directly with the COO to scale revenue and refine the GTM go-forward strategy.
Engineers at Cercle are working at the forefront of AI, ML, data engineering and women’s healthcare. We are embarking on new use cases in the industry – and new applications of AI that are unprecedented.
We are hiring for a range of levels. Every engineer who joins Cercle will get the opportunity to build insights capabilities across healthcare that never before existed – and you will show up to work every day knowing you are making a difference for half of the population.
All candidates regardless of level should have some level of experience working on various recommendation, classification, and optimization problems. Ideal candidates – regardless of level – bring the ability to own individual projects and initiatives and drive excellence across teams. The best candidates are resilient and thrive in fast-paced, early stage startup environments.
Regardless of focus area on the engineering team, you will love this team if you care about: Ownership. We operate as a collegial, entrepreneurial team at Cercle. If you think a tool or system is needed, you’re empowered to acquire and execute it. Flexibility. Our global team spans 4+ time zones in 6 countries. We limit scheduled meetings as much as possible to give our team members the bandwidth to execute our vision. Mission. We are mission-oriented. Cercle is on a mission to improve outcomes in women’s health by making insights more accessible to the whole industry. If you are highly motivated with a passion for engineering and healthcare, please share your resume and a brief description of your background and interest in the role to engineering-resumes@cercle.ai Open roles include but are not limited to: 1. Software Engineers, Machine Learning 2. Data Engineers 3. Full Stack Web Developers
Responsibilities: The Cercle Biomedical Graph™ is rapidly increasing in size, with unique data engineering challenges related to managing multiple data modalities (medical records, lab test and cell image biological data, and genomics data). - We’re looking for Machine Learning Engineers of all levels to accelerate building our AI Agents. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing state-of-the-art AI Agents using large language models. - We’re looking for Data Engineers to scale up our data ingestion capabilities and bring industry best practices to our data storage, ETL pipelines, and vector embedding generation pipelines. As a Data Engineer, you will be responsible for designing, developing, and implementing components of our datapath. - We’re looking for Full Stack Developers of all levels to drive end to end development of our AI Agents, platform and tools
Qualifications: We are flexible on the number of years since we are hiring at all levels. Even at junior levels, work experience in one or more of the following areas is essential: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
At all levels, here are some qualifications we value. Experience with: - Building and shipping high quality work and achieving high reliability - Developing machine learning models at scale from inception to business impact - Scripting languages such as Python, Javascript and Go >> ALT: Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell script - Frameworks Pytorch and Tensorflow for machine learning - Skills with Unix, SQL and terminal - Fine-tuning LLMs and building applications with them - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Fluent in English, Cambridge C1-C2 level. - Experience with Jira is a plus - Experience with Graph data structures / technology is a plus
For more experienced engineers, we’re eager to talk to you if you: - Have lead a team from a technical perspective to develop ML best practices and influenced engineering culture - Developed highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models - Thrive on coding deliverables in tandem with the engineering team - Experience re-evaluating the tradeoffs of already shipped features/ML systems - Driving large efforts across teams to reduce tech debt - Enjoy adapting standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Benefits - Competitive compensation package with meaningful upside as the company scales - Highly flexible with remote work and a global team – but we prioritize regular, in-person sessions for collaboration and knowledge sharing Note: we do have a physical office location in Valencia, Spain - Collaborative and supportive work environment with the opportunity to learn from world class engineers and experienced entrepreneurs who have had many successful exits
