Blockchain Machine Learning Engineer at Factored

Modena, Emilia-Romagna, Italy -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Products, Personalization Systems, Recommender Systems, Go, Backend Engineering, Real-Time Streaming, ETL Pipelines, ML Frameworks, AI-Assisted Coding, Decentralized Data, Validation, Communication Skills, Critical Thinking, Collaboration, Problem Solving

Industry

Data Infrastructure and Analytics

Description

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients. We are looking for a Machine Learning Engineer to join our team. You will drive the development of AI products for our clients and participate in the development of a top-notch AI. At Factored we are building a company that we all hold as our own, every single one of us. We need your skills to help take this rocketship to new heights and help create new opportunities for us. In return, you will be rewarded with an amazing team that supports you, rich culture, shared success and the flexibility to work– from the comfort of your home. Functional Responsibilities: Design, implement, and deploy real-time personalization and recommender systems for social feeds. Develop production-ready solutions in Go (Golang), fully integrated into backend services and team workflows. Address challenges such as cold start, ranking, follower/followee recommendations, and spam detection. Work with both on-chain and off-chain data sources, ensuring validation, authenticity, and reliability. Optimize content delivery to maximize engagement while filtering low-quality or fraudulent accounts. Collaborate closely with cross-functional teams, maintaining accountability and high-performance standards. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience building and deploying personalization or recommender systems in production environments. Strong system design skills and critical thinking, with hands-on experience in real-time streaming and ETL pipelines. Proficiency in backend engineering with Go (Golang), and experience integrating ML models into production services. Hands-on expertise with ML frameworks and AI-assisted coding tools. Experience handling decentralized or unreliable data sources, addressing validation and consistency challenges. Excellent verbal and written communication skills in English. At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you. We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.

Responsibilities

Design and implement real-time personalization and recommender systems for social feeds. Collaborate with cross-functional teams to develop production-ready solutions integrated into backend services.