AI Jobs

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)

Experience Requirements:

• 4+ years of professional full-stack development (Python + React/TypeScript)

• Strong backend fundamentals: REST API design, authentication, database modeling

• Production AWS experience (Lambda, EC2, S3, DynamoDB, or comparable services)

• DevOps experience: CI/CD pipelines, deployment automation, and production operations

• Demonstrated ability to own and ship products end-to-end with minimal oversight

Other Requirements:

• Comfortable working in office in Palo Alto, CA

Responsibilities:

• Own the architecture and development of customer-facing dashboards and internal tools

• Consolidate and harden a landscape of full-stack applications into maintainable, well-tested production services

• Define and enforce engineering standards: API design, code quality, testing, CI/CD, and deployment practices

• Build and maintain backend services in Python and Node.js on AWS

• Develop responsive frontend experiences in React with TypeScript

Experience Requirements:

• Strong software engineering skills in C, C++, or Python (production-quality code)

• Deep understanding of modern robotics control systems

• Experience with learning-based control or policy optimization for real-world systems

• Comfort working close to hardware and real-time constraints

Responsibilities:

• Design and implement learning-based control approaches (imitation learning, reinforcement learning, hybrid MPC + learning)

• Reduce dependence on hand-tuned control parameters through data-driven methods

• Integrate learned controllers into the existing vehicle control stack safely and incrementally

• Define interfaces between classical control (MPC, PID, state estimation) and learning-based components

• Establish validation criteria for learned control policies before real-vehicle deployment

Experience Requirements:

• Extensive practical experience in manufacturing custom harnesses for automotive or similar applications.

• Demonstrated expertise in sealed and un-sealed connectors, including but not limited to TE, Amphenol, Molex, Yazaki, Aptiv, Delphi, etc…

• Hands-on proficiency in wire stripping, crimping, splicing, and harness dressing to a class 2 of IPC/WHMA-620 standard.

• Practical experience with wiring tailored to various communication protocols such as CAN, Serial, LIN, RF, and Ethernet.

• Ability to interpret electrical schematics generated from CAD tools like Altium, Cadence, Kicad, or similar software.

Other Requirements:

• Skilled in using hand and power tools, as well as workshop equipment like drill presses, band saws, etc.

• Proven experience with task tracking tools such as JIRA, Asana, Monday, or similar platforms.

• Comfortable working with Linux OS and using Linux command lines.

• Must be fluent in English, both spoken and written.

• Willingness to travel domestically and internationally up to 10%.

Responsibilities:

• Manufacturing, validating, and integrating 1st harness articles on next-gen vehicles.

• Interacting daily with engineers.

• Designing complex harnesses that meet automotive-quality standards.

Experience Requirements:

• 7+ years of enterprise SaaS, AI, or technology sales experience

• Proven success selling contact center, CX, CCaaS, or operations technology

• Track record of consistently achieving or exceeding $1M+ ARR quotas

• Deep familiarity with enterprise buying cycles, procurement, and security requirements

• Demonstrated success managing multi-stakeholder $500K+ ARR enterprise deals

Other Requirements:

• Strong executive presence and ability to influence C-suite stakeholders

• High energy, self-starter mindset, and ability to thrive in a fast-growth, category-creating environment

• Willingness to travel

Responsibilities:

• Build and close new business with large enterprise organizations and global services partners

• Drive multi-stakeholder sales cycles with executives in CX, Operations, IT, and Revenue

• Navigate enterprise security and procurement processes, ensuring trust in Sanas’ platform

• Contribute to the enterprise sales playbook — documenting sales motions, objection handling, and ROI proof points

• Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and partner-led engagements

Education Requirements:

• MBA from a top program is preferred

Experience Requirements:

• 8+ years in venture capital, startup operating, M&A, or related investing roles

• Demonstrated success sourcing and closing deals

• Deep relationships in the Bay Area / Silicon Valley investor community

Other Requirements:

• Familiarity with sectors such as AI, Web3, fintech, or embedded payments

• Strong relationships with founders, VCs, and technical talent

• Comfortable with both high-level strategy and hands-on execution

• Strong verbal and written communication skills

Responsibilities:

• Oversee all facets of Pi Network Venture’s operations

• Source, evaluate, and execute new investment opportunities

• Cultivate relationships with founders, co-investors, and ecosystem partners

• Organize, host, and attend events, summits, and deal-flow mixers

• Coordinate cross-functional collaboration and report into leadership

Benefits:

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision

• 401K : 6% matching

• PTO : 18 days

• Transportation: Reimburse office parking or public transport

Education Requirements:

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field

Experience Requirements:

• 7-10 years of experience in enterprise sales

• Deep understanding of the US market dynamics

• Experience working at a successful, fast-growing startup

Other Requirements:

• Excellent written and verbal communication in English

• Strong technical skills

• Outstanding negotiation and communication skills

Responsibilities:

• Lead Development

• Value Proposition Validation for Customers

• Deal Management & Closing

• Executive Engagement

• Technical Aptitude

Benefits:

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision

• 401K : 6% matching

• PTO : 18 days

• Transportation: Reimburse office parking or public transport

Education Requirements:

• Bachelor's degree in Business, Marketing, Information Technology, or a related field

Experience Requirements:

• 5+ years of experience in B2B sales

• Work experience within the B2B tech ecosystem

• Successful track record working in an early stage startup

Other Requirements:

• Excellent negotiation, communication, and interpersonal skills

• Ability to travel as needed

• High integrity, low ego

Responsibilities:

• New Accounts Acquisition

• Account Expansion

• Complex Solution Defining and Positioning

• Executive Engagement & Alignment

Benefits:

• Equity

• Discretionary bonuses

• Incentives

Experience Requirements:

• 7+ years of technical recruiting experience

• Proven track record of successfully hiring ICs to executives

• Experience coaching recruiters and hiring managers

• Proven success in fast-paced, high-growth startup environments

• Experience recruiting for AI/ML or Infrastructure roles (preferred)

Other Requirements:

• Strong analytical skills

• Excellence in stakeholder management

• Deep understanding of technical roles

• Familiarity with Ashby and Juicebox

Responsibilities:

• Execute end-to-end recruiting for technical roles

• Develop innovative sourcing strategies to identify passive candidates

• Partner with executive leadership to develop recruiting strategies

• Design and deliver exceptional candidate experiences

• Lead change management initiatives to evolve recruiting processes

Benefits:

• Equity

• Bonus

Education Requirements:

• Bachelor's degree or above in Computer Science or related fields

Experience Requirements:

• 3+ years of work experience in a Machine Learning Engineer or AI engineer role

• Experience in Video Understanding / Computer Vision

• Experience in LLM Fine-tuning / RAG Systems

• Experience with Backend Systems for AI (FastAPI, Vector DBs)

Other Requirements:

• Fluent in Python

• Proficiency with Docker/Containerization

• Understanding of distributed systems

• Skilled in designing end-to-end LLM applications

Responsibilities:

• Design and build scalable, low-latency AI inference microservices

• Collaborate to build production pipelines for Video Understanding and LLMs

• Ensure all code is modular, type-safe, and maintainable

• Profile and optimize Python/C++ code and model inference layers

• Conduct research on cutting-edge LLMs and refactor experimental code

Benefits:

• Offers Equity

• Bonus

Education Requirements:

• Bachelor's degree or higher in Computer Science or a related field

Experience Requirements:

• 3–6+ years of experience as a Full Stack Engineer

• Strong frontend ownership

• Deep experience with modern frontend frameworks (React, Next.js)

• Solid backend experience (Node.js, Python, or similar)

• Experience with building AI agents (preferred)

Other Requirements:

• Typescript expertise

• Web State Management Skills (jotai, redux, etc.)

• Hacker spirit

• Open to periodic evening meetings

Responsibilities:

• Build next generation smart AI video maker

• Work closely with product and marketing to rush prototypes

• Solve agent reliability problems using creative methods

• Define your own work within a team environment

• Hacking with CTO on Sundays

Benefits:

• Offers Equity

• Bonus

Education Requirements:

• Bachelor's degree or higher in Computer Science or a related field

Experience Requirements:

• 0-5 years of experience in software engineering

• Strong entrepreneurial or hacker spirit

• Experience in building AI agents (preferred)

Other Requirements:

• Full-stack skills (React, NodeJS, Django)

• Fast learner

• Growth mindset

• Willingness to hack with CTO on Sundays

Responsibilities:

• Build next generation smart AI video maker using agent technology

• Work closely with product and marketing to rush prototypes

• Solve agent reliability problems using creative methods

• Define your own work scope

• Work on-site in Palo Alto office

Benefits:

• Offers Equity

• Bonus

Education Requirements:

• Bachelor's degree or higher in Computer Science or a related field

Experience Requirements:

• 5-8 years of experience in software engineering

• A strong entrepreneurial or hacker spirit

• Experience in a rapidly growing startup

• Experience building AI agents (preferred)

Other Requirements:

• Full-stack skills (React, NodeJS, Django)

• Fast learner and self-starter

• Product and business sense

• Open to periodic evening meetings

Responsibilities:

• Build next generation smart AI video maker using agent technology

• Work closely with product and marketing to rush prototypes

• Solve agent reliability problems using creative methods

• Define your own work within a team environment

• Partner with senior engineers across Asia time zone

Benefits:

• Competitive salary

• Stock options

• Performance-based bonuses

• Medical, dental, and vision plans

• Equipment budget (5K monitor, MacBook)

Experience Requirements:

• Strong prompting expertise with generative models

• Expertise in product design, visual design, or motion graphics (preferred)

Other Requirements:

• Refined visual taste

• Systematic thinking

• Passion for AI-powered storytelling

Responsibilities:

• Refine AI-generated video assets, stories, and motion

• Develop prompts and workflows to improve output quality

• Translate design taste into scalable creative systems

• Experiment with new AI tools and turn them into video experiences

• Work closely with AI team to fine-tune video output quality

Benefits:

• Competitive salary and equity packages, including a 401k

• Remote-first culture — work from anywhere

• 100% Employer covered comprehensive health, dental, and vision insurance

• Unlimited PTO policy

• Regular team events and offsites

Experience Requirements:

• 4+ years of experience as a Full-Stack or Backend Engineer

• Proven ability to take products from zero to one in fast-moving environments

Other Requirements:

• Strong understanding of distributed systems, system design, and cloud-native architectures

• Curiosity and hacker mentality

• Bonus: Experience with AWS Bedrock

• Bonus: Experience with LLM frameworks (LangGraph, Guardrails, LangChain, etc.)

• Bonus: Background in financial risk or fraud detection systems

Responsibilities:

• Design and build full-stack systems powering Oscilar’s next-gen AI agents

• Implement serverless architectures using AWS Lambda and Python

• Experiment with agentic frameworks, LLM-driven automation, and reasoning systems

• Collaborate directly with founders and product leaders

• Apply practical AI for data storytelling, graph reasoning, and case automation

Benefits:

• Hybrid role

• Tailored resume builder tool

• Equity participation

Experience Requirements:

• 3+ years of sales experience in healthcare technology

• Proven track record of building and closing pipelines

• Experience running full-cycle deals

Other Requirements:

• Ability to operate in ambiguity

• Excellent communication and relationship-building skills

• Knowledge of workflow-based pricing (nice to have)

Responsibilities:

• Prospect and build a qualified pipeline of healthcare providers

• Run discovery calls to understand customer goals

• Coordinate with Sales Engineering to deliver tailored demos

• Drive proof-of-concept (POC) contracts with customers

• Partner with Implementation team to ensure POC success

Benefits:

• Hybrid role

• Equity participation

• Competitive salary

Experience Requirements:

• 3+ years in product marketing (B2B SaaS preferred)

• Strong ownership of website/landing pages and sales enablement

Other Requirements:

• Excellent writing and editing ability

• Strong taste for great messaging, proof, and narrative structure

• Data-driven mindset

Responsibilities:

• Create and continuously improve product/solution landing pages

• Build and maintain sales decks, one-pagers, and battlecards

• Own end-to-end webinar assets

• Source, shape, and publish customer testimonials and case studies

• Define positioning and messaging for key products and use cases