Senior Machine Learning Engineer

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. 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 world's largest and most innovative organizations, Deploy's 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. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

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.

Responsibilities

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

Improve engineering standards, tooling, processes and security

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

Collaborate cross-functionally with other teams

Utilize OWASP top 10 techniques to secure code from vulnerabilities

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

Requirements

You have a Bachelor's 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 have an ability to understand and make well-reasoned tradeoffs in designing features

You can lead end to end development of new products

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

You have attention to detail and a passion for correctness

You are comfortable with ambiguity and scoping solutions with your teammates

You have strong interpersonal and communication skills with a bias towards action

Who We Are

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.

Thank you for your interest in Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.