AI Jobs

Experience Requirements:

• 7 - 12 years

Benefits:

• Stock options and bonuses based on performance

• Salary increases

Experience Requirements:

• 3+ years of experience

• UI implementation experience with Vue.js / React.js / Typescript

• Experience building development environments using NPM

• Experience debugging in various web browser environments

• Experience with configuration management using Git

Other Requirements:

• Experience applying design patterns and best practices

Responsibilities:

• Application development using Vue

• Web-based UI implementation

• Feature implementation and refactoring existing code

• Frontend system architecture design

• Product design and code strategy planning

Experience Requirements:

• 1+ years of experience in a Customer Service agent role

• Previous experience as a Customer Service Lead is a plus

• Guru, Zendesk, and Talkdesk experience are a plus

Other Requirements:

• Excellent ability to de-escalate and deal with challenging situations

• Strong written communication skills

• Interest in commercial fiction and/or ecommerce

• Grit and perseverance

Responsibilities:

• Manage day-to-day lead tasks for 10-12 agents

• Serve as an escalation point to agents regarding member issues

• Maintain, update, and improve the agent knowledge base

• Effectively communicate key information to stakeholders in reports

• Oversee dispute resolution by maintaining SOPs

Experience Requirements:

• 2-5 Years

Other Requirements:

• Strong Python programming skills

• Experience with data engineering tools such as Pandas, PySpark, Airflow

• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face)

• Proficiency in designing and deploying APIs using FastAPI or Flask

• Knowledge of SQL and relational databases like PostgreSQL

Responsibilities:

• Build and maintain scalable data preparation pipelines using Python

• Optimize data workflows to handle large datasets efficiently

• Develop, test, and refine prompts to optimize LLM outputs

• Design and deploy RESTful APIs to host LLM-based solutions

• Integrate APIs with monitoring and logging solutions

Benefits:

• Competitive Salary

• Innovation Focus on cutting-edge AI technology

• Growth Opportunity in AI testing expertise

• Collaborative and supportive work environment

• Continuous exposure to latest developments in Generative AI

Experience Requirements:

• 2-5 years in software testing with hands-on automation experience

Other Requirements:

• Proficiency in Selenium Java OR Cypress (JavaScript)

• Strong understanding of test automation frameworks

• Experience with API testing and web application testing

• Basic understanding of AI/ML testing concepts

• Proven ability to work effectively in small, agile teams

Responsibilities:

• Design and execute test strategies for Large Language Model (LLM) integrations

• Test conversational AI capabilities, response accuracy, and intent recognition

• Ensure seamless integration between AI components and core ITSM functionalities

• Build and maintain automated test suites using Selenium or Cypress

• Collaborate with teams to identify and resolve AI-related bugs

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Experience Requirements:

• Strong programming skills with proficiency in Python and Node.js.

• Solid understanding of web scraping techniques and experience with relevant libraries and frameworks.

• Proficiency in SQL and experience working with relational databases for data storage and retrieval.

• Familiarity with version control systems, particularly Git.

• Knowledge of key-value stores, such as Redis.

Other Requirements:

• Experience with Elasticsearch or other search engines for data indexing and searching.

• Strong problem-solving skills and the ability to handle complex data extraction scenarios.

• Excellent attention to detail and the ability to ensure data accuracy and quality.

• Strong communication and collaboration skills to work effectively within a team environment.

• Familiarity with data privacy and security best practices.

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping.

Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models

Other Requirements:

• Experience with open source frameworks like LangChain and LlamaIndex

• Knowledge of prompt engineering and state-of-the art model architectures

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

Responsibilities:

• Help lead the data science team fostering innovation and excellence

• Develop technical assets and IP across automated pentesting and real-time monitoring

• Engage with product owners to influence product direction

• Track and analyze emerging threats to AI systems

• Develop and implement detection and mitigation strategies for identified threats

Education Requirements:

• Bachelor’s degree in Design, Visual Communication, Fine Arts or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of experience as a designer (in-house), preferably in a B2B tech environment

Other Requirements:

• Strong portfolio demonstrating creative design work

• Proficiency in Adobe Creative Suite (Illustrator, Photoshop, InDesign)

• Experience with Figma or Sketch is a plus

• Ability to translate technical and complex concepts into clear, compelling visuals

• Excellent communication skills and strong attention to detail

Responsibilities:

• Create engaging and visually polished design assets for the website, blog, and social media

• Design sales and marketing collateral including brochures, case studies, and infographics

• Create and maintain Design artifacts for product needs (FIGMA Artifacts)

• Maintain and evolve the brand guidelines including typography and color palette

• Partner with content and marketing teams to storyboard and execute creative campaigns

Benefits:

• Competitive salary and equity options

• Health plans similar to large SaaS companies

• Flexible work arrangements

• Opportunities for learning, growth, and professional development

Education Requirements:

• Bachelor's degree in Information and Computer Technology, Cybersecurity, Networking, IT Security, Computer Engineering or related degree

Experience Requirements:

• Hands-on experience with troubleshooting and problem-solving in a fast-paced environment

• Solid understanding of TCP/IP, UDP, TLS, DNS, HTTP, DHCP, Routers, Switches, NAT, VLANs

Other Requirements:

• Understanding about IP Cameras, NVRs, Video Resolutions, ONVIF, RTSP

• Outstanding written and verbal communication skills

• Familiarity with ticketing systems such as Zendesk

• Knowledge of Linux operating systems, Virtual Machines, and APIs

• This role requires that you be on-site 5 days a week

Responsibilities:

• Triage, manage, and resolve incoming technical support cases via phone, email, and chat

• Troubleshoot issues related to the AI platform, networking, and physical security devices

• Document and track all customer interactions and technical issues in the ticketing system

• Escalate high-priority issues to the Product Engineering team

• Perform Root Cause Analysis and formal report creations

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Experience Requirements:

• 3 to 5 years of professional experience in DevOps, Site Reliability Engineering (SRE), or Cloud Operations

• 3+ years of experience with AWS, Azure, or GCP

Other Requirements:

• Strong expertise in Terraform or Ansible and AWS Carpenter

• Deep understanding of Kubernetes (deployments, services, ingress)

• Fluency in Python, Bash, or Go

• Strong Linux/Unix administration and VPC/DNS networking knowledge

• Excellent communication skills and proactive mindset toward automation

Responsibilities:

• Design, implement, and maintain automated build, test, and deployment pipelines

• Provision and manage cloud infrastructure using Terraform, CloudFormation, or Pulumi

• Manage containerized applications using Docker and orchestrate them with Kubernetes

• Implement comprehensive monitoring, logging, and alerting systems

• Integrate security best practices into the SDLC (DevSecOps)

Education Requirements:

• Bachelor's degree in any related field

Experience Requirements:

• 0-2 years of experience (in a call center or customer service role)

Other Requirements:

• Excellent communication skills with fluency in English

• Familiarity with computer systems and basic security systems

• Ability to work flexible hours, including weekends, holidays and rotating shifts

• Able to work with highly confidential information

• Strong decision making during various situations

Responsibilities:

• Real-time monitoring and assessment of security alarms and systems

• Prompt and efficient response to security incidents and alarms

• Escalation of security incidents to appropriate personnel based on severity

• Documentation of incidents including maintaining logs and incident reports

• Performing other duties as assigned by the SOC Manager

Benefits:

• Competitive salary and equity options

• Health insurance comparable to the large tech companies

• Flexible work arrangements

Education Requirements:

• Bachelor’s degree in Business, Accounting, Finance, or a related field

Experience Requirements:

• 3-5 years of experience in finance or accounting

• Accounts receivable experience with U.S. companies or customers

Other Requirements:

• Proficiency in Quickbooks and online banking platforms

• Proficiency in Google Sheets & G-Suite

• Excellent communication and strong attention to detail

• Analytical mindset with strong problem-solving abilities

• Comfortable with a flexible work schedule

Responsibilities:

• Generate, send, and manage customer invoices using QuickBooks

• Track accounts receivable, customer payments, and outstanding balances

• Follow up with customers on overdue invoices professionally

• Reconcile payments received with QuickBooks records

• Maintain accurate AR aging reports and share updates with leadership

Education Requirements:

• Bachelor’s degree in any related field

Experience Requirements:

• Overall experience: 5-8 years

Other Requirements:

• Excellent written and spoken communication skills

• Strong analytical and problem-solving skills

• Proficiency in Excel, Google Sheets, and data visualization tools (Tableau, Power BI)

• Experience in quality control or operations in international BPOs preferred

• Comfortable handling highly confidential information

Responsibilities:

• Own overall quality metrics and efficiency of the monitoring process

• Conduct deep dives into monitoring data to identify trends and anomalies

• Collaborate with the SOC team to drive changes in operational procedures

• Support operational decision-making through data-driven insights

• Conduct quarterly training sessions for operators to improve performance

Education Requirements:

• Master’s degree in Electrical and Computer Engineering, Computer Science, or related field.

Experience Requirements:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

Other Requirements:

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

• Conduct R&D, stay updated with the latest research, and propose innovative ideas.

• Contribute to patent applications and publish research papers.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• Graduate with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong Python or C++/C programming and software design skills, including debugging, performance analysis, and test design.

• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, and MXNet

• Experience with model acceleration techniques such as deep learning quantization, model pruning, and model distillation.

Other Requirements:

• Experience with numerical methods

• Knowledge of computer architecture

• Experience with AI compilers

• Experience in model deployment within the autonomous driving industry

• Experience deploying LLMs on edge devices

Responsibilities:

• Contribute to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas

Education Requirements:

• You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong C++/ C or Python programming and software design skills, including debugging, performance analysis, and test design.

• Strong expertise on deep learning quantization

• Strong expertise on NN compiler (TVM, MLIR, GLOW, LLVM) experience

• Strong expertise on NN model pruning

• Strong expertise on Cadence DSP programming

Other Requirements:

• Numerical methods experience

• Knowledge of computer architecture

• Python experience

• Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet

Responsibilities:

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Experience Requirements:

• Strong proficiency in compiler development, including experience with LLVM, MLIR, TVM, or similar frameworks.

• Expertise in Machine Learning model execution, optimization, and deployment.

• Strong programming skills in C++, Python, and assembly-level optimizations.

• Knowledge of parallel computing, vectorization, and memory hierarchy optimizations.

• Familiarity with deep learning frameworks (TensorFlow, PyTorch, ONNX).

Other Requirements:

• Strong analytical skills for performance profiling and debugging.

• Experience in graph optimizations, quantization, and code generation.

• Knowledge of heterogeneous computing, DSPs, and low-level hardware programming.

• Familiarity with AI model deployment and inference optimization techniques.

• Background in high-performance computing (HPC).

Responsibilities:

• Develop and optimize compiler toolchains for ML accelerators, including front-end parsing, intermediate representation (IR) transformations, and backend code generation.

• Implement and enhance ML-specific optimizations such as operator fusion, memory layout transformations, quantization-aware compilation, and scheduling.

• Collaborate with hardware architects to co-design compiler optimizations aligned with accelerator capabilities.

• Work on ML frameworks (PyTorch, ONNX) to integrate compiler passes for efficient execution on target hardware.

• Improve performance through domain-specific optimizations, autotuning, and parallelization techniques.

Education Requirements:

• MS/PhD in Computer Science, Electrical Engineering, or a related field.

Experience Requirements:

• 2+ years of experience in computer vision, machine learning, and deep learning development.

• Proficiency in Python and C++ with hands-on programming skills; familiarity with embedded systems is a plus.

• Experience with Deep network development (visual data focus), object detection, tracking, and 3D computer vision.

• Experience with Structure from motion, network-based sensor fusion, and mathematical optimization.

• Familiarity with ADAS and autonomous driving technology, particularly in 3D object detection and semantic segmentation.

Other Requirements:

• Mandarin proficiency is a plus.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and training methods for vision tasks.

• Implement network compression and quantization-aware training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Semiconductor Engineering, or related technical field.

• JD (Juris Doctor) or equivalent legal qualification from a recognized institution.

Experience Requirements:

• 1-3 years of experience in IP law, preferably in the semiconductor or technology industry.

• Admission to a bar association and registration with a patent office (e.g., USPTO, CNIPA, EPO) is preferred.

• Strong knowledge of patent laws, IP litigation, and technology licensing.

Other Requirements:

• Ability to analyze complex technical and legal issues and provide strategic recommendations.

• Excellent communication and organizational skills.

• Bilingual: English/Mandarin Preferred

Responsibilities:

• Assist in drafting, reviewing, and prosecuting patent applications in collaboration with external counsel.

• Monitor and analyze industry trends, competitor patents, and potential IP risks.

• Support IP litigation, enforcement, and licensing activities.

• Review and negotiate IP-related agreements, including NDAs, joint development agreements, and licensing agreements.

• Educate engineers and R&D teams on IP best practices and invention disclosures.

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Education Requirements:

• Bachelor’s Degree from recognized post-secondary institution, or an equivalent combination of education and experience.

Experience Requirements:

• Minimum of 1 to 3 years’ experience in regulated industry (related experience may be considered)

Other Requirements:

• Proficient in Microsoft Office, Adobe

• Strong verbal, written, organizational, time management and interpersonal skills

• Flexible and have an entrepreneurial mindset

Responsibilities:

• Overall coordination of controlled documentation and managing the change order process

• Administer trainings and follow through on completion

• Facilitate the corrective action process and implementation of actions

• Support external audits, including notified body, FDA, and customer audits

• Schedule and perform internal audits, create audit plans and reports