Staff Machine Learning Engineer - Remote

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the worlds largest and most innovative organizations, Deploys solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. Senior Machine Learning Engineer
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
\Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
Write and maintain scalable, performant and secure code that can be shared across platforms
Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
Develop novel, accurate, and performant ML algorithms for use at scale
Conduct metric-driven research experiments to improve model performance
Provide mentorship to and help onboard junior ML engineers
Maintain awareness of industry best practices for data maintenance handling as it relates to your role
Adhere to policies, guidelines and procedures pertaining to the protection of information assets
Report actual or suspected security and/or policy violations/breaches to an appropriate authority
You have a Bachelors Degree in computer science or a related field
You have a minimum of 5 years of building production scale ML models
You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
You have experience writing code and training across distributed systems
You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
You strongly believe in high code quality, automated testing, and other engineering best practices
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
stock options may be offered in addition to the range provided here.