- Top 10% of respondersArgo Labs is in the top 10% of companies in terms of response time to applications
- Responds within three weeksBased on past data, Argo Labs usually responds to incoming applications within three weeks
- B2B
- +1
Machine Learning Engineer, Applied AI
- $100k – $180k
- Full Time
Not Available
About the job
About Argo Labs
We are a generative AI startup. Our mission is to build experiences with applied AI that fundamentally challenge the way humanity interacts with technology. In this incredible moment of technological revolution, Argo Labs will drive surplus from the productive outputs of these technological breakthroughs into the hands of the many.
Why Conversational AI?
We believe that Conversational AI agents are the gateway to building truly intuitive technological interfaces. As one of the highest bandwidth forms of bidirectional information exchange (second only to BMIs), voice interfaces will enable the next generation of era-defining technologies. Argo Labs is at the forefront of this transformation, creating solutions that will reshape how we communicate, work, and interact with the world around us.
About the role
As a Machine Learning Engineer at Argo Labs, you will be at the forefront of developing, designing, and implementing innovative machine learning solutions that drive our products forward. You will design and deploy machine learning models to solve complex real-world problems.
What you’ll do
Design and implement cutting-edge ML models that solve real-world problems.
Transform cutting-edge research into practical applications.
Work closely with researchers, software engineers, and product managers to tackle complex challenges
Develop scalable data pipelines and fine-tune models for optimal performance.
Ensure our AI agents are robust, efficient, and ready for production environments.
Participate in code reviews, knowledge sharing, and maintain high engineering standards.
Monitor and improve deployed models to enhance user experiences. Your work will directly shape the future of human-AI interaction.
Stay current with AI advancements
You might be a good fit if you
Have a Master's or PhD in Computer Science, Machine Learning, or have done significant work in Machine Learning.
2+ years of relevant industry experience in a fast paced, high growth tech environment.
Possess strong experience with deep learning and transformer models.
Are proficient in PyTorch or TensorFlow.
Have a solid foundation in data structures, algorithms, and software engineering principles.
Are familiar with large language models, including training, fine-tuning, and optimization techniques.
Have experience with or interest in conversational AI, dialogue systems, or natural language processing.
Demonstrate excellent problem-solving skills and a proactive approach to challenges.
Can collaborate effectively with cross-functional teams.
Enjoy owning problems end-to-end and are eager to acquire new skills as needed.
Will thrive in a fast-paced, dynamic, early-stage startup environment.
(Bonus) Have first-hand experience building an early-stage startup.
What we offer
Interesting work in the most exciting field in tech.
Ownership of fascinating and challenging problems.
Work close with the CEO and founding team.
Competitive salary & equity.
Dynamic, tight-knit community.
Flexible work hours.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Join Us!
Argo Labs is headquartered in New York City. We strongly prefer candidates who are able to work in person at our Manhattan office in FiDi (Financial District). Become an Argonaut and work with us to solve some of the most pressing technological and social challenges of our time.
About the company
- Top 10% of respondersArgo Labs is in the top 10% of companies in terms of response time to applications
- Responds within three weeksBased on past data, Argo Labs usually responds to incoming applications within three weeks
- B2B
- Early StageStartup in initial stages