AI Jobs

Experience Requirements:

• 7+ years of software engineering experience

• 2+ years in a tech lead or engineering lead role

• Strong technical foundation in distributed systems

• Proven leadership mentoring engineers

• Hands-on individual contribution experience

Other Requirements:

• Proficiency in TypeScript/Node.js or Python

• Experience with cloud infrastructure (AWS, Kubernetes)

• Strong communication skills

Responsibilities:

• Lead a team of 3-6 engineers

• Stay hands-on writing code daily

• Drive technical architecture and system design

• Mentor engineers through code reviews

• Collaborate cross-functionally with product and design

Benefits:

• Paid opportunity

Experience Requirements:

• Experience creating content for TikTok and Instagram Reels

• Strong creative instincts

• Visual storytelling skills

• Openness to try new content creation tools

• Consistency and reliability in posting content each week

Other Requirements:

• Comfortable speaking directly to camera

• Creative eye for developing new viral templates

Responsibilities:

• Create and post original Pika videos each week

• Experiment with prompts and showcase newest features

• Shape the look, feel, and trends of content on Pika

• Help spark engagement and remixes across the community

Experience Requirements:

• Broad engineering experience

• Portfolio of production-ready backend projects

• Proficiency in Node.js, Python, or Go

• Strong understanding of database design

• Experience with APIs and cloud infrastructure

Other Requirements:

• Ability to thrive in a fast-moving environment

• Clear communication skills

Responsibilities:

• Architect and build scalable backend services

• Own backend logic from database modeling to API design

• Support internal tooling and operational automation

• Collaborate with frontend, product, and design

• Debug and optimize systems for scale

Benefits:

• Equity

• Comprehensive health benefits

• Collaborative office culture

Experience Requirements:

• 5+ years experience building consumer-facing iOS apps

• Strong proficiency in Swift

• Familiarity with SwiftUI

• Experience working on UI/UX with modern frameworks

• Proven ability to contribute high-performance code

Other Requirements:

• Excellent problem-solving skills

• Knowledge of graphics and media frameworks

• Collaborative mindset

Responsibilities:

• Build groundbreaking tools for creators

• Empower users to tell stories

• Scale mobile efforts

• Contribute with high levels of design-consistency

• Collaborate on building and launching together

Experience Requirements:

• 5+ years experience operating databases at scale

• Deep PostgreSQL expertise

• Experience with caching systems like Redis

• Strong SQL and query optimization skills

• Data modeling skills balancing normalization and performance

Other Requirements:

• Familiarity with object storage (S3)

• Understanding of vector databases

• Knowledge of database reliability and failover

Responsibilities:

• Design and own the data architecture

• Build high-performance query layers

• Implement vector search and retrieval systems

• Scale storage systems and capacity planning

• Build ETL data pipelines for analytics

Benefits:

• healthcare coverage

• insurance offerings

• wellness resources

• retirement savings programs

• equity plans

Education Requirements:

• Bachelor’s degree preferred

Experience Requirements:

• 2+ years of experience in Account Management or Sales in SaaS

Other Requirements:

• Data driven mindset

• Ability to prioritize work in fast-paced environments

• Coachability

Responsibilities:

• Manage all post-sales activity for Commercial customers

• Develop trusted advisor relationships with program administrators

• Drive usage and manage T&E programs through Navan

• Own client renewals and cross-selling products

• Collaborate cross-functionally with Sales, Product, and Finance

Education Requirements:

• Bachelor’s or Master’s in Computer Science, Engineering, or related field

Experience Requirements:

• 8+ years of experience in back-end software engineering

Other Requirements:

• Strong proficiency in Python and Java

• Hands-on experience with AWS, Docker, and Kubernetes

• Experience with large-scale data pipelines (e.g., Apache Spark, Kafka) preferred

Responsibilities:

• Architect and implement microservices-based platforms

• Build and deploy applications on AWS

• Design and optimize SQL-based data systems and ETL pipelines

• Drive platform reliability through monitoring and logging

• Build developer tools for integrating LLMs and AI models

Experience Requirements:

• 7+ years of B2B marketing experience, ideally in SaaS or high-growth technology environments

Other Requirements:

• Proven track record designing and executing multi-channel campaigns

• Strong data fluency

• Familiarity with Procurement or CPO buyer personas is a plus

Responsibilities:

• Plan and execute multi-channel campaigns across digital, web, email, social, and search

• Lead and scale our webinar program

• Manage agency partners to create standout creative and content

• Own the campaign calendar and align initiatives across GTM teams

• Define success metrics, track performance, and optimize campaigns for ROI

Experience Requirements:

• 3-5+ years of experience in event marketing, field marketing, or trade show management within a B2B SaaS or technology environment

Other Requirements:

• Proficiency in marketing and event tools (e.g., Eloqua, On24, Salesforce) is a plus

• Strong project management skills

• Data-driven mindset with ability to track metrics and evaluate ROI

Responsibilities:

• Own end-to-end trade show and conference logistics

• Plan and execute highly impactful field marketing events

• Collaborate closely with sales teams to identify key accounts and engage prospects

• Provide campaign and demand programs for pre-event and post-event support

• Translate segment and regional priorities into actionable field marketing plans

Education Requirements:

• Undergraduate degree required (ideally in engineering, economics, supply chain management, Procurement, business administration or similar)

Experience Requirements:

• 1-2 years of experience in consulting, account management or client facing roles

Other Requirements:

• Advanced in Microsoft products including but not limited to PowerPoint, Excel, Word, etc.

• Experience with business intelligence (BI) tools preferred

• Proficiency in multiple languages is advantageous

• Procurement and/or technology, AI experience preferred

Responsibilities:

• Support clients through early stages of the implementation cycle to enterprise-wide adoption

• Identify key customer stakeholders and develop strategies to build trusted advisor relationships

• Understand complex client requirements and proactively problem solve utilizing existing product functionality

• Track success criteria and prepare regular reports on account status

• Capture and share best practices both within client portfolio and across the team

Experience Requirements:

• 6+ years of experience in building and leading engineering teams

• Knowledge of the full life-cycle of product development

• Track record of transforming enterprise technology processes

• Experience with technology operations and cloud-based technologies

• Deep hands-on technical skills

Other Requirements:

• Software, hardware, and firmware solutions

• Matrix organization

• Agile

• Linux

• Docker

Responsibilities:

• Own the overall development life cycle of the solution

• Plan project phases from idea to closure

• Develop logical solutions to business problems

• Work with product team on strategy and roadmaps

• Team with senior engineers on technical design

Education Requirements:

• Bachelor's or Master's degree in Electrical Engineering

Experience Requirements:

• Over 7 years of hands-on experience in circuit board design

• Knowledge in embedded system design and debugging

• Experience in selecting and configuring camera sensors

• Experience designing digital interfaces (MIPI, USB, I2C)

• Regulatory experience with FCC and PTCRB

Other Requirements:

• Altium

• Cadence

• ARM CPUs

• LTE

• Bluetooth

• Wi-Fi

• Oscilloscopes

• Spectrum analyzers

Responsibilities:

• Define hardware system features and interfaces

• Lead lifecycle of hardware projects from concept to production

• Create circuit schematics and PCB layouts

• Design and simulate analog and digital circuits

• Provide support to software engineering for troubleshooting

Education Requirements:

• BS/MS in Computer Science or equivalent practical experience

Experience Requirements:

• 4+ years of experience with Swift or Objective-C

• 3+ years developing native iOS Applications shipped to production

• Experience with Git, Github, Pull Requests, and Rebasing

• Experience with reactive platforms and functional design patterns

• Experience building reusable libraries and SDKs

Other Requirements:

• Swift UI

• Core Bluetooth

• Combine

• REST

• GraphQL

• CI/CD

• Metal

• Unity

Responsibilities:

• Lead architecture and design of the iOS client platform

• Collaborate with cloud developers and designers

• Mentor other developers and contractors

• Prototype new concepts to inform final implementations

• Automate tasks and quality checks using CI/CD

Education Requirements:

• M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field

• Focus on signal processing, time-series analysis, and machine learning

Experience Requirements:

• 5+ years developing signal processing and ML solutions for sensor data

• Track record of bringing at least one ML solution to market

• Deep understanding of digital signal processing (DSP) methods

• Experience with RNNs, LSTMs, and temporal convolutional networks

• Experience with physical sensors like IMUs and microphones

Other Requirements:

• PyTorch

• TensorFlow

• Keras

• FFT

• Filtering

• Activity recognition

• Anomaly detection

• Edge deployment

Responsibilities:

• Design real-time signal processing and ML pipelines

• Develop models for classification, prediction, and pattern analysis

• Research and implement RNN and temporal transformer architectures

• Collaborate with hardware and embedded teams for integration

• Optimize signal-processing techniques for model input quality

Education Requirements:

• M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field

• Specialization in NLP or deep learning

Experience Requirements:

• 5+ years of experience in machine learning or AI

• Focus on NLP, LLMs, or conversational AI

• Experience building production grade RAG pipelines

• Fluency with prompt engineering or instruction tuning

• Deep understanding of document retrieval and vector stores

Other Requirements:

• LangChain

• LlamaIndex

• FAISS

• Weaviate

• Pinecone

• PyTorch

• Hugging Face

• LLAMA

• Mistral

• Claude

• GPT

• Agentic RAG

Responsibilities:

• Lead architecture and development of RAG systems

• Develop AI-powered assistants for industrial troubleshooting

• Build pipelines to ingest and index large document corpora

• Fine-tune foundational models for domain-specific logic

• Design evaluation strategies for system performance

Experience Requirements:

• 5+ years of professional experience in software engineering or data engineering

• Strong programming skills in Python and Golang

• Deep understanding of SQL and modern data lake architectures

• Hands-on experience with AWS services

• Proficiency with Terraform

Other Requirements:

• S3

• Lambda

• Glue

• Kinesis

• Athena

• RDS

• Argo Workflows

• Parquet

• Iceberg

• Delta Lake

• Kafka

• IaC

Responsibilities:

• Design and build high-throughput data ingestion pipelines

• Implement secure data lake and SQL-based storage architectures

• Develop internal tools and frameworks using Python and Golang

• Collaborate cross-functionally to define data contracts and schemas

• Manage infrastructure using Terraform and AWS services

Education Requirements:

• Bachelors or foreign academic equivalent in Electrical and Computer Engineering, Computer Science, Electrical/Electronic Engineering or a related field

Experience Requirements:

• 3+ years of experience in software development positions

• 3+ years of experience working with Linux/Unix, Bash, ETL, SQL, Apache Spark, Docker and Terraform

Other Requirements:

• Design and build high-performance microservices based applications that run on AWS using Python, Linux/Unix, Bash, Docker, Terraform, and the Elastic Kubernetes Service (EKS)

• Develop data ETL processing and analytics workflows using tools like Apache Spark, Argo, and Kubernetes

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

• Work with the Product Management team to align features with customer needs and address their problems effectively

• Build integrations with third-party APIs that enable high-value customer experiences

Responsibilities:

• Work with the Engineering team to architect and build horizontally scalable, resilient, high throughput data pipelines

• Conduct proof of concept activities with customers

• Design and build high-performance microservices based applications that run on AWS

• Develop data ETL processing and analytics workflows

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

Education Requirements:

• BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field

• MA/PhD

Experience Requirements:

• 6 years of experience (BS) or 4 years of experience (MA/PhD)

• 3+ years building production-ready ML infrastructure

Other Requirements:

• Proficiency in one or more modern programming languages such as Python, C++, or Java

• Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks

• Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform

Responsibilities:

• Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines

• Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment

• Own the end-to-end implementation of ML systems from research prototypes to production-grade code

• Optimize model training/inference, latency, and resource usage

• Develop monitoring, observability, and CI/CD tooling

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

Experience Requirements:

• 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.

• Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.

Other Requirements:

• In-depth expertise in Transformer architectures and their applications beyond natural language processing.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Solid mathematical foundation in statistics, optimization, and signal processing.

• Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).

Responsibilities:

• Design and implement Transformer-based architectures for time-series prediction and sequence modeling

• Drive the full machine learning lifecycle—from exploratory data analysis to model deployment

• Conduct rigorous benchmarking, ablation studies, and performance optimization

• Collaborate closely with data scientists, engineers, and product managers

• Partner with software engineers to scale and productize ML algorithms

Experience Requirements:

• 2+ years in MLOps / Infra / ML Platform

• Deep experience with PyTorch, CUDA-aware workflows

• Strong Linux + systems fundamentals

• Proven experience deploying models at scale (not just notebooks)

Responsibilities:

• Design and operate end-to-end ML infrastructure: training, evaluation, deployment, monitoring

• Build CI/CD for ML (model versioning, promotion, rollback, canarying)

• Own model observability: drift detection, performance regression, data health

• Optimize GPU utilization across training and inference (on-prem + cloud)

• Support edge deployment (Jetson / Orin / x86 + GPU)