Member of Technical Staff

Additive AI

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

A forward-thinking technology company in San Francisco seeks an experienced backend developer to build core systems for machine learning deployment and drive architectural choices. Candidates should have 5+ years in backend development, experience with ML concepts, and be proficient in Python and cloud technologies. This role requires autonomy and a collaborative approach within a diverse team.

Qualifications

  • 5 years of experience in backend systems.
  • Experience integrating ML inference and monitoring capabilities.
  • Familiarity with cloud providers and database/storage layers.

Responsibilities

  • Build core systems for machine learning deployment.
  • Drive technology and architectural choices.
  • Design integration of ML monitoring systems.

Skills

Backend system development
Machine Learning concepts
Python
Cloud providers (GCP/AWS)
Container technologies (Docker/Kubernetes)

Tools

Postgres
Redis

Job description

About You

You are an exceptional builder who wants outsized responsibility and impact and have a demonstrated history of thoughtful and pragmatic decision making. You have designed built and maintained backend systems that delivered on complex problems with simple and robust code. You love tackling novel challenges you are adept at finding third party tools that meet our needs and can both quickly make something work and design it to scale and handle edge cases. Youre genuinely passionate about building and are excited to be an integral part of a team of like-minded folks.

Responsibilities

Build the core systems that deploy our machine learning capabilities both in training and production build metrics systems for rapid iteration and introspection and help improve the performance of both by using your judgement to optimize for evolving technical and product requirements.

Drive technology and architectural choices for Additives core services that will enable us to rapidly build and iterate on user experiences that enable our customers to do their best work.

Design and build the integration of ML inference monitoring systems Large Language Model (LLM) interactions application layers and tax-related business logic into our core systems.

Build out database layers supporting business logic and applications within our systems and data integration strategy with external vendor APIs and interfaces.

Collaborate with the rest of the team on effective CI / CD systems that helps us all move faster.

Engage directly with accountants to understand their needs and how we can best build a product that they absolutely love.

Be expected to operate with autonomy and judgement to deliver tremendous value while working with both technical and market constraints.

Requirements

5 years experience working on backend systems in a meaningful ownership role for what was built and why ideally for systems with meaningful data or ML workloads.

Experience with ML concepts and integrating ML inference and monitoring capabilities into business applications.

Comfortable with Python cloud providers such as GCP / AWS container technologies (e.g. Docker Kubernetes serverless platforms) and database and storage layers (e.g. Postgres SQL S3 / GCS Redis).

We're working fully in person 5 days per week in downtown San Francisco. Additive can cover relocation costs for moving to the San Francisco area.

At Additive we value diversity and are committed to an inclusive workplace. Additive is an equal opportunity employer and does not discriminate on the basis of race color religion sex sexual orientation gender gender identity national origin disability protected veteran status or any other characteristic under federal state or local law. If you require an accommodation during the job application process please notify for support.

Additional Information

Staff IC

Key Skills

  • ICT
  • ASP.NET
  • Gas
  • Field

Employment Type: Full-Time

Department / Functional Area: Engineering

Experience: years

Vacancy: 1

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