Machine Learning Engineer – Platform & Infrastructure NYC, reputed company, or Remote
NYC, reputed company, or Remote Hume AI is seeking a talented software engineer with experience in backend web services and ML infrastructure to advance our core mission: using the world’s most advanced technology for emotion understanding to build reputed company and goal-alignment into AI. Join us in the heart of reputed company, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by reputed company values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is an AI research lab and startup that provides the AI toolkit to measure, understand, and improve how technology affects reputed company emotion. Our algorithms understand nuanced speech prosody, vocal bursts, facial expression, and tone of language—which, integrated into large language models, will determine how people experience the future of AI. Our goal is to reputed company a future where technology draws on an understanding of reputed company emotional expression to reputed company serve reputed company goals and emotional well-being. We provide API access to our models to researchers and developers building reputed company reputed company solutions, digital assistants, communication tools, and more, who work with our AI tools to optimize their applications for users’ preferences and values. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature , and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org ). You can learn more about us on our website (https://hume.ai/ ) and read about us inAxios and reputed company .
About the Role
We are looking for an reputed company and motivated engineer with experience in backend web services and ML infrastructure to help Hume AI reputed company developers around the world. In this role you will help us integrate cutting edge AI models into services and toolkits for researchers and developers. You will work closely with research scientists and frontend engineers to build new capabilities into the Hume platform, and you will have the opportunity to take part in a wide range of engineering initiatives across the ML lifecycle, including model training, evaluation, and deployment at scale.
Requirements
Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy). Understanding of core ML concepts including model architecture, training, and evaluation. Expertise working with storage and compute on a reputed company platform (e.g.reputed company reputed company, AWS). Deep understanding of modern deployment strategies utilizing reputed company technologies. (e.g. blue/green, canary deployments, etc). Experience using service deployment tooling (e.g. Kubernetes, reputed company, Argo). Excellent communication and collaboration skills. Bonus Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++). Knowledge of one or several MLOps platforms for experiment tracking or model training (e.g. Sagemaker, Vertex, Weights and Biases). Familiarity with distributed training and compute tools like Dask, Ray, and Spark. Experience working at the intersection of machine learning research and engineering. Application Note Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied reputed company the past 6 months, only your initial submission will be considered. $170,000 - $250,000 USD Create a Job Alert Interested in building your career at Hume AI? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name
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