Senior AI/MLOps Engineer, Tarana Wireless

$180-240k

+ Stock options

SQL

AWS

Docker

Kubernetes

Python

Scala

Tensorflow

Terraform

Rust

Azure

Spark

Pandas

Scikit-Learn

Prometheus

Kubeflow

Grafana

PyTorch

Senior and Expert level

San Francisco Bay Area

Office located in Milpitas, CA

Fixed wireless access platform

Job no longer available

Fixed wireless access platform

201-500 employees

B2BSaaSTelecommunications

Job no longer available

$180-240k

+ Stock options

SQL

AWS

Docker

Kubernetes

Python

Scala

Tensorflow

Terraform

Rust

Azure

Spark

Pandas

Scikit-Learn

Prometheus

Kubeflow

Grafana

PyTorch

Senior and Expert level

San Francisco Bay Area

Office located in Milpitas, CA

201-500 employees

B2BSaaSTelecommunications

Company mission

To accelerate the world's progress on closing its persistent digital divide through faster, more affordable broadband for literally billions of their fellow folk.

Job

Company

Role

Who you are

BS or higher in Computer Science, MS preferred
5-12 years of experience building large scale ML/AI models and systems
Strong understand of software systems and programming, with and without assistance from a LLM
Strong python, Spark, Pandas and SQL skills. Scala and Rust are a bonus
Strong knowledge of cloud platforms such as AWS, Azure or Google Cloud and experience with infrastructure-as-code tools like Terraform or CloudFormation
Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes
Experience with CI/CD tools such as GitLab CI/CD, Github Actions or CircleCI
Familiarity with schema design and data warehouse architectures
Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn
Understanding of DevOps/Agile/Lean core principles and how to apply them
Strong problem-solving and troubleshooting of complex systems
Experience with ML workflow tools such as MLflow, MetaFlow and/or Kubeflow
Experience with monitoring, metrics, and logging model performance and data pipelines (Prometheus, Grafana, etc.)

What the job involves

This position focuses on the end-to-end workflow for our AI/ML models and data
It will require our team members to wear different hats as we scale our deployments, our maturity and our organization
Data engineering - work with our cloud system data engineers and our data scientists to ensure high data quality and reliability in our data warehouse
Design and implement our feature store to support repeatable, high quality model builds
AI/MLOps - design and implement an improved model workflow including EDA, feature engineering, training, evaluation, deployment and monitoring
Implement versioning, observability and reporting. Monitor efficiency, cost, performance and reliability
DevOps - We are a product-oriented company, so you will need to work with software and DevOps engineers on our teams to build out GitOps pipelines for new APIs, clusters and tools that we develop. This includes deployment tools, security, observability and alerting
Our process is highly iterative, high velocity and focused on quality and operational excellence
We use small, product-focused teams that own features and products end-to-end, so you will improve infrastructure and implement strategic changes as part of the product creation and release process
We emphasize general software skills and the ability to work interactively with a LLM to experiment and implement infrastructure over experience with specific technologies
In your first year at Tarana, you will take ownership of the end-to-end model lifecycle, and help us to consistently deliver high-quality, high-reliability, cost-effective machine learning and AI systems as part of various products
You will guide our strategic decisions around technology and implementation by working with other engineers and executives to develop business-focused designs based on experience and empirical data
This is a hands-on role in a low-overhead team of builders

Our take

Tarana Wireless is not only the industry’s performance leader, but it is uniquely positioned as it created its own category in next-generation fixed wireless access (ngFWA) with its G1 platform. The company provides fiber-class internet services at a fraction of fiber’s traditional cost and complexity.

Its G1 platform is the world’s most advanced FWA platform and is powered by the precise, multidimensional optimization of radio signals, as well as a number of other industry firsts. Since the commercial launch of G1 in late 2021, the company has seen significant customer demand for the product, serving a customer base of more than 120 providers.

Since launching, the company has spent a decade and over $400 million perfecting its product. With a total addressable market of 10s of billions, Tarana Wireless is well set to expand its innovative product across the globe. Recent funding will help support accelerated sales efforts as well as future product advancements.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

32% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 9 rounds)

Sep 2023

$50m

GROWTH EQUITY VC

Mar 2022

$170m

LATE VC

Total funding: $435.8m

Company benefits

Medical, dental, and vision insurance
Stock option packages
401(k) matching
Flexible schedules
Paid vacation time
Diverse team from different backgrounds and experiences
Support for your ongoing education and learning to advance careers and skills
For those at HQ, enjoy snacks, drinks, yoga, corporate gatherings, an on-site gym, and more

Company HQ

Milpitas, CA

Leadership

Sergiu Nedevschi

(Co-Founder & CSO)

They held a variety of previous roles at the company before becoming CSO, including CEO, EVP & CPO, and COO.

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