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Staff AI Engineer, Data Analytics & Modeling - Office of the CTO

Sonatus

Sunnyvale · Hybrid Full-time Lead $1 – $1/yr Today

About the role

About

At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 6 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility.

The Opportunity

Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real‑world customer problems.

Responsibilities

  • Lead end-to-end data exploration, analytics, and modeling on large-scale, multi-source data to uncover insights and drive business outcomes.
  • Architect, design, develop, and deploy optimized data analytics algorithms, models, and solutions.
  • Drive the development of agentic AI applications leveraging data processing and analytics pipelines.

Requirements

  • In-depth theoretical and practical knowledge of a wide range of Data Science and Machine Learning algorithms, including Deep Learning (e.g., CNNs, RNNs, Transformers) and Reinforcement Learning.
  • Strong Python programming skills with extensive experience using data analysis and ML frameworks and libraries.
  • Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis.
  • Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference).

Preferred

  • Master's or PhD in a Science or Engineering field.
  • Experience in building and maintaining scalable, big data applications in a cloud environment.

Benefits Offered

  • Competitive compensation and equity program
  • Health care plan (Medical, Dental & Vision)
  • Flexible and Dependent Care Expense program
  • Retirement plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Unlimited paid time off per year, 15 paid holidays
  • Hybrid office work arrangement/flexibility

Perk Offerings

  • Complimentary lunches, snacks, and beverages during on‑site working days
  • Wellness benefit allowances (towards gym membership and fitness programs)
  • Internet reimbursement
  • Computer Accessory Allowance

Employee Engagement Offerings

  • Departmental team building and outings
  • Employee Referral Program
  • Culture/Employee Satisfaction Surveys – Feedback matters!

Salary Information

The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change.

Base Salary Pay Range
$1—$10 USD

Requirements

  • In-depth theoretical and practical knowledge of a wide range of Data Science and Machine Learning algorithms, including Deep Learning (e.g., CNNs, RNNs, Transformers) and Reinforcement Learning.
  • Strong Python programming skills with extensive experience using data analysis and ML frameworks and libraries.
  • Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis.
  • Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference).

Responsibilities

  • Lead end-to-end data exploration, analytics, and modeling on large-scale, multi-source data to uncover insights and drive business outcomes.
  • Architect, design, develop, and deploy optimized data analytics algorithms, models, and solutions.
  • Drive the development of agentic AI applications leveraging data processing and analytics pipelines.

Benefits

health_insurancepaid_time_offdental_coverage

Skills

CNNsLLMsPythonRNNsTransformers

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