Machine Learning Engineer (Recommender Systems & Databricks) Job at Factored, Remote

WHVjWEFVNFRFeE1EM0dKbHBMWHZsWk9TOGc9PQ==
  • Factored
  • Remote

Job Description

Who we are:

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 worldwide, 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 seeking a Machine Learning Engineer who is passionate about building state-of-the-art recommender systems and leveraging Generative AI. You'll work with large-scale data using tools like Databricks and Spark, contributing to innovative AI solutions that enhance personalized experiences while being part of a supportive, dynamic, and collaborative team. In return, you will be rewarded with an amazing team that supports you, a rich culture, shared success, and the flexibility to work– from the comfort of your home. #LI-Remote

\n

What you will be doing:
  • Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
  • Build and manage scalable machine learning pipelines for data processing, feature engineering, model training, and deployment using tools like Databricks and Spark.
  • Develop and refine machine learning models to tackle complex problems, leveraging diverse datasets and optimizing performance through parameter tuning and experimentation.
  • Collaborate with software engineers, data scientists, and business stakeholders to integrate models into production and address key business challenges with machine learning solutions.
  • Monitor and maintain deployed models, ensuring performance, reliability, and alignment with evolving business needs through continuous improvement practices.
  • Stay informed on advancements in AI and machine learning, incorporate innovative techniques, and contribute to knowledge-sharing initiatives to improve overall practices.

What you must bring:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience as a Machine Learning Engineer, demonstrating successful development and deployment of recommender systems.
  • Strong programming skills in languages such as Python along with experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Extensive experience handling large-scale data processing and analysis using Spark/PySpark within Databricks, including its native platform services.Solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
  • Strong knowledge of experimental design, A/B testing, and performance evaluation metrics for machine learning solutions.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker) is a plus.
  • Excellent verbal and written communication skills in English.

\n

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 is 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.

Job Tags

Full time, Remote work, Worldwide,

Similar Jobs

Saint-Gobain North America

Compliance Investigator Job at Saint-Gobain North America

 ...Whats the job? As a member of the Saint-Gobains Compliance team within the Law Department, the Compliance Investigator will be responsible for investigating complaints from various sources that represent potential legal or policy violations. The role will support all... 

Tata Consultancy Service Limited

Games QA Tester/Engineer Job at Tata Consultancy Service Limited

Job Background: Test games across multiple product lines. Work with QA leads to understand test areas and design test plan. Execute tests across multiple games from various development studios and across multiple devices Job Description: Passionate about games... 

American Games

General Production Associate (Overnights) Job at American Games

Job Description Job Description DEPARTMENT: Finishing LOCATION: American Games (504 34th Avenue Council Bluffs, IA) SCHEDULE: Sunday-Thursday (10:00 PM - 6:00 AM) PAY RANGE: Category 2 What You'll Do This is a full-time, permanent position in a manufacturing...

Hirschbach Motor Lines

CDL A Driver Independent Contractor / Lease Purchase Job at Hirschbach Motor Lines

Call (***) ***-****CDL A Drivers - Independent Contractors / Lease PurchaseWelcome Home! Hirschbach Motor Lines has immediate lease opportunities for independent contractors and company driver positions.$800 Orientation Pay *Experienced drives only. Trainees are not... 

Talent Groups

Fiber Optic Splicer Technician (Deployment) Job at Talent Groups

 ...The Deployment Technician plays a key role in the deployment and maintenance of advanced technologies, focusing on network deployment, fiber installation, and ensuring the overall efficiency of the network infrastructure. This role involves working in the field, assisting...