AI Research Engineer - Enterprise Automation

NIO
San Jose, CA, United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$163,500.0 - $212,400.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Information Engineering Data Governance Decision Support Systems Graph Database High-Level Architecture Python (Programming Language) Knowledge-Based Systems Machine Learning
+14 more
Tensorflow Software Engineering Reinforcement Learning Google Cloud Enterprise Software Applications Cloud Platform System Pytorch Large Language Models Multi-Agent Systems Deep Learning Information Technology Free and Open-Source Software Machine Learning Operations Data Pipelines

Job description

  • Conduct applied research in AI and machine learning for process automation, knowledge systems, and intelligent decision support.
  • Prototype, train, and deploy models that integrate with enterprise tools (e.g., ERP, CRM, LLM interfaces, and knowledge graphs).
  • Collaborate with cross-functional teams in data engineering, product, and business functions to identify automation opportunities and deploy scalable AI solutions.
  • Develop pipelines and infrastructure for continuous learning and model optimization in production environments.
  • Stay current with advancements in foundation models, multimodal AI, reinforcement learning, and autonomous agents, and evaluate their potential enterprise applications.
  • Publish internal technical reports and contribute to the company’s intellectual property portfolio.

Requirements

We are seeking a highly skilled AI Research Engineer to design, prototype, and optimize end-to-end AI systems that automate enterprise workflows. In this role, you’ll bridge applied research and engineering-developing cutting-edge AI models, tools, and platforms that streamline decision-making, improve operational efficiency, and unlock new capabilities for enterprise users., * MS or PhD in Computer Science, Electrical Engineering, or related field.

  • 3+ years of experience in applied AI/ML research or engineering.
  • Solid understanding of deep learning, LLMs, and model architectures (e.g., Transformers, diffusion models).
  • Skilled in Python and ML frameworks such as PyTorch, TensorFlow.
  • Experience building and deploying AI for enterprise automation or intelligent assistants.
  • Strong software engineering background, with experience in scalable systems, APIs, and cloud environments (AWS, Google Cloud Platform, or Azure).
  • Excellent problem-solving and communication skills., * Experience with multi-agent systems, data orchestration, or autonomous workflows.
  • Knowledge of knowledge graphs, vector databases, or retrieval-augmented systems.
  • Familiarity with enterprise security, compliance, and data governance.
  • Published research or open-source contributions related to AI automation or applied ML.

Benefits & conditions

The US base salary range for this full-time position is $163,500.00 - $212,400.00.

  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits., Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:
  • CIGNA EPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.
  • Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with Brokerage Link option
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • 13 Paid Holidays a year
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Mobile Cell Phone Credit
  • Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions
  • Free lunch and snacks
  • Onsite gym
  • Employee discounts and perks program

About the company

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO’s product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

4:42 min

Container hosting options available on Google Cloud Platform

Federico Fregosi · World Congress 2022

Videos

See all

Related articles

See all