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Senior Ai/Ml Engineer

Company

Tarana Wireless, Inc.

Address San Francisco Bay Area, United States
Employment type FULL_TIME
Salary
Category Communications Equipment Manufacturing,Wireless Services,Telecommunications
Expires 2023-07-22
Posted at 10 months ago
Job Description
This position focuses on detailed implementation of our AI/ML systems, and operationalizing the model design, training, deployment and monitoring
Help Tarana build a world-class data system from the ground up! We have growing data-sets and several exciting Machine Learning systems to create or improve; including automated diagnosis of equipment; network anomaly detection and mitigation; and intelligent RF network optimization; and technical support automation using LLMs. We are looking for experienced AI/ML Engineers who can hit the ground running, and help us make progress on these projects quickly.
In your first year at Tarana, you will work with our team to implement and scale our inference engines. You will focus on:
  • Data tracking and quality monitoring
  • Model monitoring and visualization
  • Model governance
  • Operationalizing Reinforcement Learning and Transfer Learning
  • Model training and tuning
  • Feature Engineering
  • Model visualization, explanation and tracking
  • Model inference and serving
You will work with our Data Engineers, Data Scientists and domain experts to build models and systems that make accurate, useful inferences at scale, and improve as new data arrives.
This is a hands-on role: you will be building and deploying our AI/ML models as we grow the team. You will need to fill in for many roles as we scale the team: you may need to do MLOps, modeling implementation, system design and data visualization as well. You must work well with others: you will need to interact with people across the organization to successfully build and maintain a high volume data architecture.
Required Skills & Experience:
  • MS in Computer Science or Statistics with an emphasis on AI/ML or Systems
  • Highly collaborative, team-oriented approach
  • Experience with TensorFlow, PyTorch, etc. at scale
  • 5-12 years of experience building large scale, ML/AI models
  • Strong Python skills
  • Strong understanding of ML, AI, Information Theory and Statistical Learning Theory
  • Experience with Large Language Models and tools a plus
  • Understanding of signal processing is a bonus
  • Experience re-incorporating feedback in your models
  • Passionate and excited about working in a fast moving startup with lots of exciting projects and opportunities for growth
The salary range for this position is: $130,000 to $175,000
Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee’s geographic location.
Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option.
Since our founding in 2009, we’ve been on a mission to accelerate the pace of bringing fast and affordable internet access — and all the benefits it provides — to the 90% of the world’s households who can’t get it. Through a decade of R&D and more than $400M of investment, we’ve created an entirely unique next-generation fixed wireless access technology, powering our first commercial platform, Gigabit 1 (G1). It delivers a game-changing advance in broadband economics in both mainstream and underserved markets, using either licensed or unlicensed spectrum. G1 started production in mid 2021 and has now been installed by over 160 service providers globally. We’re headquartered in Milpitas, California, with additional research and development in Pune, India.
G1 has been developed by an incredibly talented and pioneering core technical team. We are looking for more world-class problem solvers who can carry on our tradition of customer obsession and ground-breaking innovation. We’re well funded, growing incredibly quickly, maintaining a superb results-focused culture while we’re at it, and all grooving on the positive difference we are making for people all over the planet. If you want to help make a real difference in this world, apply now!