Machine Learning Engineer

Hive; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Gym membership

Paid vacation

Job summary

Deploy is building an intelligence infrastructure platform and seeks a machine learning engineer to prototype state‑of‑the‑art models and bring them into production at scale in Seattle.

You will work across data pipelines, model deployment, and performance tuning, collaborating with cross‑functional teams to deliver secure, reliable ML solutions. A strong background in Python and DL frameworks will be essential.

Qualifications

• Undergrad or grad degree in CS or similar with strong math/stat coursework.
• 1–2 years of industry ML experience.
• Have successfully trained and deployed a deep learning model into production with measurable performance gains.
• Strong experience with high‑level ML frameworks such as TensorFlow, Caffe, or Torch, and familiarity with others.
• Proficient in Python for ML workflows.
• Ability to prototype data pipelines involving Python, Node, Bash, and Linux CLI over very large datasets.
• Working knowledge of C++, Scala/Spark, SQL, Cassandra, Docker.
• Up-to-date on recent DL research and architectures and how to implement them.
• Excellent communication and teamwork.

Responsibilities

• Apply ML models to production use cases, including designing, coding, training, deploying, and monitoring performance.
• Collaborate with Backend/DevOps and data labeling teams.
• Use OWASP top 10 to secure code and protect information assets.
• Maintain awareness of data maintenance best practices for ML projects.
• Follow policies on information protection and report violations when needed.

Skills

Python

TensorFlow

Caffe

Torch

Scala / Spark

SQL

C++

Docker

Education

Bachelor's or Master's in Computer Science

Tools

Linux

Docker

Spark

Cassandra

Job description

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 throughout. 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.

Machine Learning Role

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
• Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
• 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 an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
• You have 1-2 years industry machine learning experience
• You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
• You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
• You know the ins and outs of Python, especially as it applies to the above ML frameworks
• You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
• You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
• You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
• You have great communication skills and ability to work with others
• You are a strong team player, with a do-whatever-it-takes attitude

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 $120,000 - $180,000. 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.