AI Jobs

Education Requirements:

• Master’s Degree or Ph.D. in computer science or equivalent field.

• Master’s Degree or Ph.D. in artificial intelligence, machine learning, computer vision, image processing, natural language processing, signal processing, computer graphics, or equivalent field.

• Bachelor’s Degree

Experience Requirements:

• Knowledge and hands-on experience with high level programming languages, such as C/C++, Python.

• Knowledge and hands-on experience with ML-based image object classification, object detection, and NLP.

Responsibilities:

• Design and develop SDK for a proprietary NeuroMorphic Processor in the AI/ML field.

• Analyze, troubleshoot, design, and develop tests and test-automation suites.

• Perform quantitative analysis on the performance of the developed solutions.

• Provide ongoing maintenance, support, and enhancements in existing software.

Experience Requirements:

• Experience in trajectory prediction-related algorithms (such as Graph Neural Network, Transformer, Deep Reinforcement Learning, etc.) is preferred.

Other Requirements:

• Possess good programming skills, proficient in C++/Python, and familiar with the Linux development environment.

• Have good ability to read and understand English literature, strong learning ability and a strong desire for knowledge.

• Have good sense of teamwork, communication skills, coordination ability and summary ability.

• Able to work under pressure.

Responsibilities:

• Design, develop, debug and conduct real-vehicle verification of autonomous driving prediction or planning algorithms based on learning methods.

• Design evaluation schemes and conduct tests for prediction or planning algorithms.

• Work closely with the perception module to complete the development and debugging of the system.

Education Requirements:

• Major in computer science, automation, mathematics, automotive engineering or other related fields.

Experience Requirements:

• Experience in optimal matching of lanes, traffic lights, etc.

• Experience with multi-frame smoothing and optimization algorithms for reference lines.

• Knowledge background in NN models for local map road topology generation such as MapTr is a plus.

Other Requirements:

• Foundation in computational graphics and 3D set element processing.

• Familiar with optimal road network matching algorithms (KM, VF2, PDA).

• Proficient in C++.

• Familiar with various optimization algorithms and algorithm libraries (Eigen, OSQP).

• Able to model and reason about complex environments.

Responsibilities:

• Generate and track reference lines and lane topologies based on lane line perception, semantic maps, and traffic flow clustering.

• Understand and infer the regulatory boundaries of the road environment and realize drivable area reasoning.

• Design and develop a matching and fusion framework based on real-time perception and prior semantic maps.

• Identify occluded areas and calculate risk speed limits.

• Perform fusion matching and recognition of lane types, and matching between traffic lights and lanes.

Experience Requirements:

• Experience in vehicle-side mapping, online map post-processing, or crowdsourced mapping is preferred.

• Familiarity with automotive sensors (cameras, radar, GNSS, IMU, wheel speed sensors).

Other Requirements:

• Familiar with semantic SLAM frameworks, online mapping algorithms, and backend optimization.

• Knowledge of ICP, particle filtering, nonlinear optimization, Kalman filters, or multi-sensor fusion.

• Proficient in C++.

• Scripting skills for rapid prototyping.

• Strong problem-solving, communication, and teamwork skills.

Responsibilities:

• Track and maintain geometric and semantic information for local static objects in mass-production projects.

• Ensure absolute and relative accuracy of maps under diverse driving conditions.

• Design, implement, and maintain vehicle-side memory mapping algorithms.

• Achieve semantic localization using prior maps.

Education Requirements:

• Master’s degree or higher (Ph.D. preferred) in AI, computer science, automation, mathematics, or related fields.

Experience Requirements:

• Knowledge of Diffusion Models, NeRF, 3D Gaussian Splatting is preferred.

• Publications in top conferences are a plus.

• ACM competition experience is a plus.

Other Requirements:

• Strong foundation in data structures and algorithms.

• Proficient in Python/C++ and frameworks like PyTorch/TensorFlow.

• Excellent English and mathematical skills.

• Strong coding ability.

Responsibilities:

• Research generative models in autonomous driving, publish top-tier papers, and file patents.

• Promote the application of generative models in autonomous driving.

Benefits:

• 100,000 H100 hours compute budget

• Competitive compensation

• Generous early-stage equity

• Full medical and vision coverage

• Work on frontier methods that scale

Education Requirements:

• BSc/MSc/PhD is an indicator of technical ability

Experience Requirements:

• Familiar with TRL/veRL/etc.

• Comfortable with torchrun/accelerate/multi-node training

• Clever about getting or synthetically generating data

• Ability to critically evaluate research

• Knowledge of PyTorch or CUDA

Other Requirements:

• Must articulate ideas well in writing and speech

• Ability to learn anything in 2 weeks

• Familiar with 'You and Your Research'

• Prefers .py to .tex

Responsibilities:

• Post-train reasoning into LLMs with GRPO and SFT

• Design and iterate RL training environments

• Own the entire training pipeline

• Run small and large model experiments

• Work on next-generation vision-first embedding models

Benefits:

• Competitive salary and equity package

• Comprehensive benefits including health, vision, and dental coverage

• High-ownership, high-velocity environment

• Rapid learning opportunities

• Work on accelerating the future of technology development

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• Advanced degree preferred

Experience Requirements:

• Exceptional researcher who has designed large-scale ML systems

• Experience building LLM applications and agentic LLM systems

• Strong proficiency in Python and AI/ML frameworks like PyTorch

• Familiarity with cloud computing platforms and distributed systems

• Experience as an ML researcher/engineer with exposure to chip development

Other Requirements:

• Strong intuition about computer architecture

• Strong communication abilities

• Background or experience with Electrical or Computer Engineering preferred

• Familiarity with chip design and verification processes preferred

• Experience with EDA tools (Synopsys, Vivado, etc.) preferred

• Publications at leading ML or EDA conferences preferred

Responsibilities:

• Design and implement core components of AI-powered engineering systems

• Integrate classical algorithms and deep learning-based approaches across modalities

• Utilize GPU clusters for efficient training, finetuning, and inference

• Explore and implement efficient inference techniques to reduce costs

• Stay ahead of the curve in AI research, particularly in LLMs

Benefits:

• Offers Equity

• Offers Bonus

Other Requirements:

• Must live in or be willing to relocate to NYC

• Required to be in-office 5x/week

Benefits:

• Flexible Working

• Work from Anywhere

• Connection Budget

• Learning Budget

• Home Office Allowance

Experience Requirements:

• Built and maintained cloud-based applications and infrastructure

• Demonstrable knowledge of caching techniques

• Linux administration and SQL Database management

• Experience with automated failover scenarios

• Passion for best practice systems operations tools

Other Requirements:

• Commitment to continual learning

• Experience with CDN providers and DDoS mitigation

• Participation in emergency response roster

• Knowledge of Cloudformation, Terraform, or AWS CDK preferred

Responsibilities:

• Drive initiatives for reliability, performance and security

• Design and build new infrastructure to support products

• Review code quality and coach engineers

• Improve monitoring and measurement systems

• Advise on capacity requirements

Benefits:

• Flexible Working

• Work from Anywhere

• Connection Budget

• Learning Budget

• Home Office Allowance

Experience Requirements:

• Strong background in applied AI/ML (LLMs, multimodal, embeddings)

• Proven experience shipping real AI features to customers

• Skilled in context engineering and prompt design

• Familiar with orchestration tools like LangChain

• Experience building reliable, maintainable AI systems

Other Requirements:

• Creative problem-solver who thrives in ambiguity

• Collaborator capable of working across product, design, and data

• Bias for action

Responsibilities:

• Build and ship AI-powered features for customer workflows

• Use AI to improve internal development tools and deployments

• Work across the stack from coding to system design

• Collaborate with PMs, designers, and content specialists

• Share knowledge on emerging AI tech

Benefits:

• equity

• 16 weeks fully paid parental leave

• full access to healthcare platform

• Annual professional development stipend

• 401K matching

Education Requirements:

• Bachelor's degree in CS, Math, Physics, or related engineering field

Experience Requirements:

• 6+ years as a full-stack SWE or ML Engineer

• experience building AI/ML products end-to-end

• Built applications with foundation models (RAG, agents, LLMs)

• Experience in Chatbots, Recommendation Engines or GenAI

Other Requirements:

• Python fluency

• backend skills in Go, Java, or similar

• Comfortable working autonomously

Responsibilities:

• Build end-to-end AI solutions using foundation models

• Develop ML pipelines for experimentation and production

• Drive architecture decisions across AI/ML systems

• Mentor engineers and data scientists

• Turn healthcare data into intelligent workflows

Benefits:

• meaningful equity

• unlimited PTO

• full healthcare

• meals provided

• gym

Experience Requirements:

• 3-6 years of hands-on IT Engineering experience

• Experience building systems from scratch (0 to 1)

• Experience as the first or second dedicated IT hire

• Hands-on experience with macOS administration

Other Requirements:

• scripting experience using Python/PowerShell/Bash

• Excellent communication skills

Responsibilities:

• Own core stack including Okta, G-Suite, Intune

• Managing user lifecycles and enforcing MFA

• Full oversight of macOS & Windows endpoints

• Using Python or Bash to script workflows

• Acting as the primary support for the entire company

Benefits:

• 10% bonus

• company benefits

Education Requirements:

• Blue Prism certifications (bonus)

Experience Requirements:

• 4+ years of hands-on Blue Prism development experience

• experience in BPM Workflows

• experience automating business processes across multiple applications

Other Requirements:

• knowledge of exception handling and release management

• experience in RESTful APIs and Webservices

• Software Engineering background in C#, Java (bonus)

Responsibilities:

• Designing and deploying Blue Prism automations end to end

• Building reusable objects and processes

• Supporting live bots and troubleshooting issues

• Managing ongoing enhancements

• Translating business processes into automation solutions

Benefits:

• competitive equity

• benefits

Experience Requirements:

• 5+ years experience in software engineering

• Experience with production ML or conversational AI systems

• Expertise in Python, TensorFlow, PyTorch

Other Requirements:

• Experience with telephony integration

• Energetic startup mindset

• experience with LLMs (bonus)

Responsibilities:

• Architect and build conversational AI systems

• Develop and optimize NLP pipelines

• Integrate AI systems with telephony platforms

• Build and optimize LLM-powered conversation flows

• Establish monitoring and logging for system performance

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• 3+ years of experience training large-scale deep learning models

• Strong hands-on experience with PyTorch and distributed training

• Familiarity with audio/speech architectures (Whisper, etc.)

• Experience with vision-language and multimodal architectures

• Track record of shipping models to production

Other Requirements:

• Strong engineering fundamentals

• Fluent English

Responsibilities:

• Train and fine-tune large-scale audio and multimodal models

• Design and run experiments on architectures and training recipes

• Build and maintain audio data pipelines

• Optimize models for production (quantization, distillation)

• Deploy models end-to-end for low-latency serving

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• Built or scaled a modern data stack (Snowflake, ClickHouse)

• Strong in SQL and Python

• Comfortable working with large, messy datasets

• Experience with Metabase or Tableau (plus)

Other Requirements:

• Fluent English

Responsibilities:

• Build and maintain a clean, stable data environment

• Develop and run internal data APIs and SDKs

• Monitor and improve data performance and table layouts

• Manage data access and governance policies

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• 3+ years shipping high performance ML systems in production

• Deep hands-on experience with inference optimization

• Comfortable with CUDA kernels and Kubernetes

• Experience with Rust or custom Triton kernels (plus)

Other Requirements:

• English language proficiency

Responsibilities:

• Own inference infrastructure and optimize latency and cost

• Build and scale model serving with vLLM or TRT

• Design and maintain vector search pipelines

• Define service health KPIs and support metrics

• Turn research checkpoints into production deployments

Other Requirements:

• First name

• Last name

• E-mail address

• Telephone number

• LinkedIn profile

• Resume

Benefits:

• Competitive salary

• Meaningful equity opportunities

• 30 days paid vacation

• Wellness allowances

• Learning allowances

Experience Requirements:

• Expertise in Python (FastAPI, TanstackQuery)

• Experience with HTML, CSS, Typescript and React for frontend development

• Experience with PostgreSQL and building data pipelines from multiple APIs

• Hands-on experience with GCP, Kubernetes, and Terraform

• Passion for AI/ML: RAG systems, vector search, LLM orchestration, AI agents, and prompt engineering

Other Requirements:

• Ability to think product-first and translate business needs into elegant technical solutions

Responsibilities:

• Build and enhance full-stack features with Python/FastAPI and TypeScript/React

• Translate customer needs into elegant, intuitive, and high-impact solutions

• Ensure robust, scalable, and high-performing applications

• Integrate seamlessly with Shopify and other e-commerce platforms

• Be part of our on call rotation

Benefits:

• Competitive salary

• Performance-based advancement

• Paid time off (PTO)

• Health benefits

• 401(k) with employer match

Education Requirements:

• Bachelor's or Master's degree in Chemical Engineering, Mechanical Engineering, or a related field.

Experience Requirements:

• Proven experience administering a PI system (at least 10 years)

• Minimum 5 years experience in Oil and Gas Industry

• Customer consulting experience

• Hands-on experience with AVEVA PI Server and PI Collectives

• Proficiency with PI Vision

Other Requirements:

• Willingness to travel up to 50%

• Ability to lift 50-70 lbs. unassisted

• Ability to climb stairs and ladders

Responsibilities:

• Coordination with server, network, and business teams

• PI server hardware upgrade and migration

• Issue management during system burn-in period

• PI Collective upgrade and cutover

• System Integration testing