We are NAX, the New Asset Exchange, a global fintech and venture building pioneer with headquarters in Manhattan Beach, California, USA and a presence across North America, Europe and Asia. We build new ventures in partnership with the world’s leading institutions. With our proven method, our technology
solutions and our diverse team of management
consultants, experienced entrepreneurs, venture capitalists & industry experts we create, launch and scale new high-growth companies.
NAX Group maintains its headquarters in Manhattan Beach, CA and has offices in Silicon Valley, New York, Tampa, Frankfurt, Munich, and Paris.
NAX is always searching for entrepreneurs, innovators, technologists, and business
builders to join our global team. We provide an innovative
culture and the unique opportunity to commercialize corporate-backed, high social impact products alongside the world’s leading corporations. Join us and help build the products and markets of tomorrow.
As a Lead Machine Learning Engineer, you will be responsible for leading the development and deployment of machine learning models and systems for our organization. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to identify business opportunities and deliver machine learning solutions that meet user needs.
What you get to do:
Design and develop machine learning models and systems: You will be responsible for designing and developing machine learning models and systems that solve complex business problems. You will work with cross-functional teams to identify business opportunities and develop machine learning solutions that meet user needs.
Evaluate and implement machine learning
algorithms: You will evaluate and implement machine learning
algorithms and techniques to solve business
problems. You will stay up-to-date with the latest developments in machine learning
and identify opportunities to apply new techniques to our organization's needs.
Collaborate with cross-functional teams: You will work with cross-functional teams, including data scientists, software engineers, and product
managers, to identify business
opportunities and deliver machine learning
solutions that meet user needs.
Ensure quality and reliability: You will be responsible for ensuring the quality and reliability of machine learning
products. You will establish best practices and processes for testing, validation, and monitoring of models and systems.
Stay up-to-date with industry trends: You will stay up-to-date with the latest developments in machine learning and related technologies. You will evaluate new tools and techniques and provide guidance to the team on their use.
What you bring to the team:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Knowledge of programming languages such as Python
Excellent communication, leadership, and organizational skills.
Total Rewards and Benefits
NAX Group offers a hybrid work environment and flexible unlimited PTO. We prioritize ongoing employee development and provide our employees with their own LinkedIn Learning account and access to over 17,000 courses. Other benefits include 401k, health, dental, and vision insurance. Our dress code is casual.
Life at NAX
We are a forward thinking organization, and believe that great people deserve a great place to work. This includes generous compensation and benefits. We desire a full commitment from our team members, and we show the same commitment in return.
We are headquartered in beautiful Manhattan Beach, CA and offer a fun and collaborative work environment: our offices are pet friendly, and we host regular town halls, company lunches (UberEats for remote employees!), trivia nights, beach outings, monthly birthday gatherings, and other scheduled events. We offer a wide variety of snacks and beverages to enjoy when in office as well.
NAX Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran
status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.