AI Jobs

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Work from anywhere: Remote-first Culture

• Flexible paid time off

• MacBook Pro

Experience Requirements:

• 2–3+ years of commercial backend development experience

Other Requirements:

• Deep understanding of Go

• Strong experience with various databases (SQL & NoSQL)

• Hands-on experience with public clouds (AWS or GCP)

• Experience building distributed systems

Responsibilities:

• Design and implement high-performance microservices using Go

• Analyze and improve efficiency of infrastructure

• Define architectural patterns for database usage and API design

• Work with Cloud environments for resilience and security

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

Education Requirements:

• Bachelor's or Master's in Computer Science, Engineering, or a related discipline

Experience Requirements:

• 5+ years in software engineering

• Backend experience in Go or Python

• Hands-on experience with applied ML using large datasets

Other Requirements:

• Strong SQL skills

• Experience with feature pipelines and model deployment

• Excellent communication skills in English

Responsibilities:

• Build and optimize data pipelines and backend services

• Develop and deploy ML models for fraud detection

• Turn raw data into production-ready features

• Collaborate with platform and backend engineers

• Maintain high standards of security and compliance

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Remote-first Culture

• Monthly meal stipend

• Annual Learning stipend

Experience Requirements:

• 5+ years of experience specializing in web backend development

Other Requirements:

• Proficiency in Golang is a significant advantage

• Experience in data engineering is highly desirable

• Proficient in English

Responsibilities:

• Design, create, and maintain robust backend services

• Collaborate with stakeholders to architect new services

• Contribute to technical roadmaps

• Craft and maintain user-facing technical documentation

• Shape company engineering culture

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• 4% matching in 401k / RRSP

• Home office stipend

• Monthly social meet-up stipend

Experience Requirements:

• 2–3+ years of commercial backend development experience

Other Requirements:

• Deep understanding of Go

• Experience with SQL & NoSQL databases

• Foundational knowledge of Networking and Kubernetes

Responsibilities:

• Design and implement high-performance microservices

• Optimize core infrastructure efficiency

• Define architectural standards

• Automate platform resilience using IaC

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Remote-first Culture

• Health, dental, and vision insurance

• 4% matching in 401k / RRSP

Experience Requirements:

• Minimum of 7 years of proven experience as a Software Engineer

Other Requirements:

• Proficiency in Golang is a significant advantage

• Track record of high-throughput data processing

• Proficient in English

Responsibilities:

• Own and lead development of compliance platform

• Design systems for KYC, sanctions, and transaction monitoring

• Build and optimize case management pipelines

• Develop integrations with regulatory reporting systems

• Mentor engineers and drive technical strategy

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

• Monthly meal stipend

Education Requirements:

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.)

Experience Requirements:

• 5+ years of experience in data science or quantitative modeling

Other Requirements:

• Strong working knowledge of Python, R, Spark, or SQL

• Critical thinking and problem-solving skills

• Ability to explain technical findings to non-technical stakeholders

Responsibilities:

• Build and deploy ML models to prevent fraud

• Support development of risk mitigation strategies

• Work directly with clients to deliver solutions

• Evolve risk metrics and measurement of impact

• Collaborate with engineering to scale models

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Flexible paid time off

• Health, dental, and vision insurance

• 4% matching in 401k / RRSP

Experience Requirements:

• 4+ years in fraud prevention, investigations, or risk management

Other Requirements:

• Strong SQL skills

• Experience with BigQuery or Metabase

• High ownership mindset

Responsibilities:

• Deep-dive into sessions and transactions to uncover fraud

• Turn manual reviews into repeatable insights

• Manage active fraud attacks with urgency

• Recommend and optimize risk rules

• Participate in on-call rotation for fraud attacks

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Health insurance coverage

• Home office stipend

• Annual Learning stipend

Experience Requirements:

• 5+ years of experience in data engineering, analytics engineering, or BI

Other Requirements:

• Ability to manage data integrations (Salesforce, Hubspot, BigQuery)

• Experience with Python for automation

• Exceptional SQL skills

• Experience with modern data stack (dbt, Fivetran, Airflow)

Responsibilities:

• Build and own internal data infrastructure

• Design and implement ETL/ELT pipelines

• Partner with stakeholders to define and track KPIs

• Champion data quality and governance

• Develop dashboards for executive leadership

Benefits:

• Competitive salaries and equity options

• Comprehensive health, dental, and vision insurance

• Generous vacation and paid time-off policies

• Remote work flexibility

• Yearly stipend for personal development

Experience Requirements:

• machine learning experience

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• Good knowledge of Python and SQL

• Experience with cloud computing platforms (Azure/GCP/AWS)

• Experience with containerization technologies (Docker/Kubernetes)

• Experience with ETL and Big Data elements (Spark, Kafka, etc.)

• Experience with data-wrangling libraries such as Pandas or Polars

Other Requirements:

• Interest in the AI/ML area

• Proactive approach to problem-solving

• Basic experience in DevOps

Responsibilities:

• Designing, developing, and maintaining data pipelines (ETL/ ELTs)

• Working with a variety of data sources

• Ensuring the stability and performance of data pipelines

• Collaborating with Data Scientists, Software Engineers, and other specialists

• Analyzing new potential data sources and integrating them to existing pipelines

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• 4–5+ years of experience in ML engineering in production environments

• Expertise with Large Language Models (LLMs) and Generative AI

• Familiarity with frameworks for building LLM pipelines (LangChain, LlamaIndex, RAG)

• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)

• Experience with cloud platforms (AWS, GCP, Azure) and vector databases

Other Requirements:

• Strong communication and collaboration skills

• Knowledge of MLOps (CI/CD for models, logging, observability)

Responsibilities:

• Building ML/LLM pipelines, integrating, and optimizing models

• Designing and implementing end-to-end ML/LLM pipelines

• Adapting and optimizing models for production (quantization, LoRA, prompting)

• Inference optimization (latency, cost, scalability)

• Deploying and monitoring models in production

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• 5+ years of experience in software engineering with proficiency in Python

• Understanding of microservices and event-driven architectures

• Experience with cloud platforms (AWS, Azure, GCP) and containerization

• Experience with SQL and NoSQL databases and data pipeline integration

• Passion for building AI-driven applications and integrating LLMs

Other Requirements:

• Follows best engineering practices (CI/CD, automated testing)

• Strong communication and collaboration skills

Responsibilities:

• Designing and building scalable microservices-based systems

• Integrating AI models into production systems

• Optimizing systems for scalability, latency, and inference costs

• Bridging traditional systems with GenAI/LLMs

• Collaborating with ML Engineers and Data Scientists

Benefits:

• Real impact on client strategies

• Diverse project portfolio

• Growth paths into consulting or AI engineering

• Flexible working hours

• High-end equipment

Experience Requirements:

• Minimum of 4 years of experience in Data Science

• Proficiency in classical and non-linear ML techniques

• Fluent Python programming (NumPy, pandas, scikit-learn)

• Ability to manage and analyze data using SQL

• Ability to translate data into actionable business insights

Other Requirements:

• Strong communication skills

• Ability to explain complex concepts simply

Responsibilities:

• Data exploration and cleaning

• Predictive modeling and time-series analysis

• Generating business insights directly supporting decisions

• Creating data visualizations and dashboards

• Collaborating with AI engineers and product teams

Benefits:

• Learn from top-tier AI and ML engineers

• Potential for long-term cooperation after program

• Global project impact

• Health & Fitness benefits

• Integration budget

Education Requirements:

• Academic Background

Experience Requirements:

• Foundational Knowledge of machine learning

• Technical Skills in AI/ML domain

Other Requirements:

• Motivation to contribute to impactful projects

• Achievement in IT domain

Responsibilities:

• Planning, developing, and implementing machine learning solutions

• Contributing to applied AI solutions and real-world challenges

• Learning customer relationship management

• Participating in AI projects alongside experts

Education Requirements:

• Bachelor’s degree in Business, Marketing, Engineering, or a related field

Experience Requirements:

• 3+ years in B2B sales or account management in construction technology

Other Requirements:

• Proficiency with CRM tools (e.g., HubSpot or Salesforce)

• Ability to leverage AI-driven tools (e.g., ChatGPT, Gemini, MSFT Copilot)

• Understanding of construction workflows, technology adoption, and customer pain points

• Strong written and verbal communication skills

• Willingness to travel 50% of the time within the assigned territory

Responsibilities:

• Make outside, face-to-face sales to an assigned set of customers

• Build account development plans for up to ten customer hierarchies

• Work under the guidance of VP Sales to implement enterprise agreements

• Demonstrate consultative selling, collaborating with customers to assess needs

• Conduct live, in-person demos of Versatile’s technology

Benefits:

• Competitive compensation

• Flexible job schedule and generous vacation policy

• Unlimited access to the latest AI coding assistants

• No corporate bs

• Fully remote

Experience Requirements:

• You've made things go viral - repeatedly, not by accident

• Experience in a growth, marketing, or founder role at a consumer startup

• Deep fluency in internet culture and an instinct for what spreads

• Founder or early employee at a breakout consumer company (Nice to Have)

• Grown a personal following or community from scratch (Nice to Have)

Other Requirements:

• Hands-on and resourceful - you'll write posts, engage directly, and slide into DMs yourself

• Excellent taste and communication bold without being tone-deaf

• Experience with AI products, gaming communities, or emotionally engaging consumer apps (Nice to Have)

Responsibilities:

• Own our social presence and make it genuinely compelling - not corporate, not cringe

• Build and nurture relationships with creators, influencers, and tastemakers

• Create viral moments around product launches, features, and company milestones

• Drive organic buzz that gets people talking on X, TikTok, Reddit, Discord

• Work closely with leadership to shape brand voice and positioning

Benefits:

• A chance to build a product that actually matters to millions of people

• Freedom to work remotely with a globally distributed team

• Offsites in different countries with people who actually like each other

• A trustworthy, high-responsibility environment where your ideas really matter

Experience Requirements:

• Minimum 5+ years designing mobile & web products at scale (200K+ MAU)

• A portfolio that shows impeccable taste, product thinking, and craft

• Experience with AI, conversational UI, or emotionally engaging products (Bonus)

• Experience with UX research (Bonus)

• Experience building or scaling a design system from scratch (Bonus)

Other Requirements:

• Proactive, hands-on, and love shipping real things

• Excellent communication skills in English (B2 or higher preferred)

• Prompt engineering experience (Bonus)

Responsibilities:

• Design smooth, beautiful customer journeys across mobile and web

• Talk to users. A lot. Understand what they need and what makes them happy

• Own your work end-to-end: from idea -> prototype -> final design

• Work closely with the product manager and engineers to bring ideas to life

• Use data and feedback to improve fast. We ship, learn, repeat

Benefits:

• Healthcare benefits covered at 100% for employees

• Generous parental leave policy

• Mental health support through Talkspace

• Financial wellness support through Northstar

• Stipends for co-working, professional development, wifi, and home office

Experience Requirements:

• 10+ years of experience as a software engineer

• Building large-scale distributed backend systems

• Proficiency in Go

• Experience designing systems leveraging AWS, Kafka, GraphQL, Kubernetes, and Datadog

• Experience operating at Medium’s product/user scale

Other Requirements:

• Proven track record in building and shipping distributed systems

• Ability to mentor and teach others (multiplier effect)

• Must be based in the US

• Ability to attend in-person offsites twice a year

• Experience modernizing legacy code bases

Responsibilities:

• Own the architecture for large-scale, complex product projects

• Own the implementation of critical features and systems

• Work with leadership to evolve existing features and innovate

• Lead efforts to improve engineering standards, tools, and processes

• Mentor and develop other engineers on the team

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

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

• Master’s degree is a plus

Experience Requirements:

• 4+ years of hands-on experience in Software Engineering

• Backend or platform focus

• Hands-on experience with GCP is preferred

• Proficiency with any major cloud platform (AWS, Azure)

• Track record leading technical projects

Other Requirements:

• Bay Area candidates preferred

• Occasional travel as needed

• Excellent communication and collaboration skills

• Strength in statistical and analytical thinking

Responsibilities:

• Design, implement, and maintain cloud infrastructure

• Automate infrastructure management using Infrastructure as Code (IaC)

• Build and maintain CI/CD pipelines

• Containerize applications for scalability

• Monitor platform health and set up observability tools

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

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

• Master’s degree is a plus

Experience Requirements:

• 4+ years of hands-on experience in Software Engineering

• Product development focus

• Strong experience with React, TypeScript, and JavaScript

• Full stack development experience

• Proven track record of successful delivery of product features

Other Requirements:

• Bay Area candidates preferred

• Occasional travel as needed

• Excellent communication and collaboration skills

• Solid product and analytical thinking

Responsibilities:

• Design, develop, and maintain features across the full stack

• Collaborate with product managers and designers

• Troubleshoot and resolve technical challenges

• Provide mentorship to junior engineers

• Contribute to technical decisions and best practices