AI Jobs

Benefits:

• Annual salary between $100,000 and $250,000 USD

• Remote environment with flexible hours

• Comprehensive health insurance and pension plan

• Generous PTO (30 days protected)

• Paid work trips and staff retreats

Experience Requirements:

• Prior research experience in at least one part of the AI pipeline

Other Requirements:

• Overlap with UTC–8 (Pacific Time)

• Estimation and forecasting skills

• Strong coding skills for data analyses

• Excellent written and verbal communication skills

• Professional level English proficiency

Responsibilities:

• Pitching and developing new research projects

• Making estimates and forecasts

• Tracking new model releases and benchmarks

• Evaluating technical claims and reports

• Managing multiple workstreams

Benefits:

• Competitive wages

• Paid vacation and holidays

• Wellness perks

• Even more benefits based on your location

Education Requirements:

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

Experience Requirements:

• 8+ years of experience in full stack development with a proven track record of delivering complex projects

• Advanced proficiency in front-end technologies (TypeScript, React, Tailwind)

• Extensive experience with back-end development (Node.js, Python, Temporal)

• Experience with designing and implementing RESTful APIs and microservices architectures

Other Requirements:

• Deep understanding of NoSQL database technologies (MongoDB, Elasticsearch)

• Knowledge of cloud platforms (AWS, Google Cloud, Azure) and cloud technologies (K8s, Cloud Run, App Runner, Pulumi, DataDog)

• Stay informed about the latest advancements in LLM and AI technologies

Responsibilities:

• Lead design, development, and maintenance of comprehensive features across the full software stack

• Produce clean, efficient, and well-documented code, adhering to advanced coding standards

• Collaborate effectively with product managers, designers, and engineering teams

• Proactively identify technical challenges and devise innovative solutions

• Mentor junior engineers and contribute to the evolution of development processes

Benefits:

• Competitive wages

• Paid vacation and holidays

• Wellness perks

• Even more benefits based on your location

Education Requirements:

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

Experience Requirements:

• 5+ years of experience in full-stack software development

• Strong proficiency in front-end technologies (TypeScript, React, Tailwind)

• Extensive experience with back-end development (Node.js, Python, Temporal)

• Experience with RESTful APIs and microservices architecture

Other Requirements:

• Familiarity with No SQL database technologies ( MongoDB and ElasticSearch)

• Knowledge of cloud platforms (AWS, Google Cloud, Azure) and cloud technologies (K8s, Cloud Run, App Runner, Pulumi, DataDog)

• Stay up-to-date with the latest technologies and trends in the LLM and AI space

Responsibilities:

• Design, develop, and maintain features across the entire software stack

• Write clean, efficient, and well-documented code, adhering to best practices

• Collaborate closely with product managers, designers, and other engineers

• Proactively identify and resolve technical challenges, proposing innovative solutions

• Contribute to the continuous improvement of development processes and codebase

Experience Requirements:

• 3+ years of experience in Product Marketing

• Experience in tech, SaaS, or data-driven products

• Experience in WebTech, AdTech, MarTech, gaming, or analytics products is a plus

Other Requirements:

• Candidates must live in the Los Angeles area

• Strong understanding of how to market complex or data-rich products

• Ability to translate technical concepts into clear, engaging messaging

Responsibilities:

• Develop and refine go-to-market strategies for data and insight products

• Collaborate with Product, Sales, and Marketing to launch products

• Build customer-facing materials (presentations, case studies)

• Conduct market research and competitive analysis

• Partner with Sales to enable teams with messaging and training

Experience Requirements:

• 3+ years of experience as a software engineer

• Required: Ruby on Rails (or Python and willing to learn Ruby on Rails)

• Nice to have: Clickhouse, MongoDB, Sidekiq, TypeScript, React.js

Other Requirements:

• Strong foundation in programming, algorithms, and software application design

• Solid understanding of RESTful systems and API design

• Understanding of the basics of cloud environments (AWS)

Responsibilities:

• Participate in the full development life cycle (design, implementation, release)

• Work on full feature implementation from architecture to delivery

• Optimise endpoints that touch billions of rows in the database

• Perform code reviews and suggest process improvements

• Work on challenging products like SDK Insights

Experience Requirements:

• 3+ years of experience as a software engineer

• Required: Ruby on Rails (or Python and willing to learn Ruby on Rails)

• Nice to have: Clickhouse, MongoDB, Sidekiq, TypeScript, React.js

Other Requirements:

• Strong foundation in programming, algorithms, and software application design

• Solid understanding of RESTful systems and API design

• Understanding of the basics of cloud environments (AWS)

Responsibilities:

• Participate in the full development life cycle (design, implementation, release)

• Work on full feature implementation from architecture to delivery

• Optimise endpoints that touch billions of rows in the database

• Perform code reviews and suggest process improvements

• Work on challenging products like SDK Insights

Experience Requirements:

• 3+ years of experience as a software engineer

• Required: Ruby on Rails (or Python and willing to learn Ruby on Rails)

• Nice to have: Clickhouse, MongoDB, Sidekiq, TypeScript, React.js

Other Requirements:

• Strong foundation in programming, algorithms, and software application design

• Solid understanding of RESTful systems and API design

• Understanding of the basics of cloud environments (AWS)

Responsibilities:

• Participate in the full development life cycle (design, implementation, release)

• Work on full feature implementation from architecture to delivery

• Optimise endpoints that touch billions of rows in the database

• Perform code reviews and suggest process improvements

• Work on challenging products like SDK Insights

Experience Requirements:

• 3+ years of experience as a software engineer

• Required: Ruby on Rails (or Python and willing to learn Ruby on Rails)

• Nice to have: Clickhouse, MongoDB, Sidekiq, TypeScript, React.js

Other Requirements:

• Strong foundation in programming, algorithms, and software application design

• Solid understanding of RESTful systems and API design

• Understanding of the basics of cloud environments (AWS)

Responsibilities:

• Participate in the full development life cycle (design, implementation, release)

• Work on full feature implementation from architecture to delivery

• Optimise endpoints that touch billions of rows in the database

• Perform code reviews and suggest process improvements

• Work on challenging products like SDK Insights

Benefits:

• Mentorship from senior engineers

• Real ownership of features

• Exposure to large-scale production systems

• Collaborative culture

• Opportunities to grow and learn new things

Education Requirements:

• Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design

Experience Requirements:

• Early-career engineer

• Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem

• Alternative: Proficiency in Python or similar with willingness to cross-train

• Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq

Other Requirements:

• A portfolio of meaningful Github contributions or personal projects

• Proactive approach to digging into sources

• Interest in backend systems and working with data

• Strong communication and collaboration skills

Responsibilities:

• Contribute to features across the full development lifecycle

• Help build APIs and backend services

• Learn how to work with large datasets and high-performance databases

• Improve code quality through testing, refactoring, and reviews

• Pair-program and collaborate with teammates

Benefits:

• Mentorship from senior engineers

• Real ownership of features

• Exposure to large-scale production systems

• Collaborative culture

• Opportunities to grow and learn new things

Education Requirements:

• Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design

Experience Requirements:

• Early-career engineer

• Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem

• Alternative: Proficiency in Python or similar with willingness to cross-train

• Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq

Other Requirements:

• A portfolio of meaningful Github contributions or personal projects

• Proactive approach to digging into sources

• Interest in backend systems and working with data

• Strong communication and collaboration skills

Responsibilities:

• Contribute to features across the full development lifecycle

• Help build APIs and backend services

• Learn how to work with large datasets and high-performance databases

• Improve code quality through testing, refactoring, and reviews

• Pair-program and collaborate with teammates

Benefits:

• Mentorship from senior engineers

• Real ownership of features

• Exposure to large-scale production systems

• Collaborative culture

• Opportunities to grow and learn new things

Education Requirements:

• Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design

Experience Requirements:

• Early-career engineer

• Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem

• Alternative: Proficiency in Python or similar with willingness to cross-train

• Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq

Other Requirements:

• A portfolio of meaningful Github contributions or personal projects

• Proactive approach to digging into sources

• Interest in backend systems and working with data

• Strong communication and collaboration skills

Responsibilities:

• Contribute to features across the full development lifecycle

• Help build APIs and backend services

• Learn how to work with large datasets and high-performance databases

• Improve code quality through testing, refactoring, and reviews

• Pair-program and collaborate with teammates

Benefits:

• Mentorship from senior engineers

• Real ownership of features

• Exposure to large-scale production systems

• Collaborative culture

• Opportunities to grow and learn new things

Education Requirements:

• Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design

Experience Requirements:

• Early-career engineer

• Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem

• Alternative: Proficiency in Python or similar with willingness to cross-train

• Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq

Other Requirements:

• A portfolio of meaningful Github contributions or personal projects

• Proactive approach to digging into sources

• Interest in backend systems and working with data

• Strong communication and collaboration skills

Responsibilities:

• Contribute to features across the full development lifecycle

• Help build APIs and backend services

• Learn how to work with large datasets and high-performance databases

• Improve code quality through testing, refactoring, and reviews

• Pair-program and collaborate with teammates

Experience Requirements:

• Strong software engineering experience with deep specialization in JavaScript, TypeScript, and React

• Proven ability to architect complex state management (TanStack Query, Zustand)

• Experience in data visualization and analytics (handling large datasets)

• Familiarity with Ruby on Rails and NoSQL/Columnar databases (MongoDB, Clickhouse)

Other Requirements:

• Fluency in Russian is required

• Strong professional proficiency in English is required

• Product Owner mindset

• Competence in unit and integration tests (Jest, Cypress, or Playwright)

Responsibilities:

• Deliver complex, scalable frontend systems

• Partner with Product Managers to co-author requirements

• Lead technical decision-making for medium-to-large scoped features

• Proactively identify bottlenecks and technical debt

• Advocate for best practices in React and TypeScript

Education Requirements:

• Advanced degree (PhD preferred) in Computer Science, Biomedical Engineering, Medical Physics, or related field

Experience Requirements:

• 15+ years of software engineering and technology leadership experience

• Deep AI/ML expertise with hands-on experience in medical imaging and computer vision

• Healthcare technology experience with knowledge of DICOM and regulatory frameworks

• Oncology domain knowledge with understanding of cancer biology and imaging biomarkers

• MLOps and platform experience with tools like ClearML

Other Requirements:

• Regulatory experience with FDA submissions, clinical trial support, and medical device development

• Team leadership experience managing both engineering and research teams

• Strong communication skills and ability to work with clinical and business stakeholders

Responsibilities:

• Drive technical strategy across both engineering and AI research teams

• Maintain hands-on involvement in AI/ML pipeline development and medical imaging analysis

• Establish and evolve MLOps practices using ClearML and similar platforms

• Lead technical due diligence and planning for Series A funding round

• Ensure all technology development meets FDA and other regulatory standards

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Fostering culture of responsible innovation

Experience Requirements:

• 6+ years experience in data engineering

• Experience with large scale data migrations

• Consulting / customer facing experience

• Comfortable writing code in Python or Scala

• Deep experience with distributed computing with Apache Spark

Other Requirements:

• Working knowledge of Cloud ecosystems (AWS, Azure, GCP)

• Familiarity with CI/CD

• Working knowledge of MLOps

• Must have Databricks Certifications

• Ability to travel up to 30%

Responsibilities:

• Handle impactful customer technical projects

• Scope variety of professional services work

• Guide strategic customers as they implement projects

• Consult on architecture and design

• Mentor and provide guidance to junior data engineers

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Personal and professional growth culture

Education Requirements:

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

Experience Requirements:

• 6+ years of experience in Java development

• 4+ years experience with Spring Boot & microservices

• Experience with cloud platforms (AWS, Azure, or GCP)

• Experience with message brokers like Kafka or RabbitMQ

• Experience with containerization like Docker and Kubernetes

Other Requirements:

• Proficiency in RESTful API design

• Understanding of design patterns and OOP

• Knowledge of NoSQL databases (Nice to Have)

• Experience with CI/CD pipelines (Nice to Have)

Responsibilities:

• Design, develop, and implement Java-based applications

• Collaborate with cross-functional teams

• Write clean, efficient, and well-documented code

• Develop and maintain RESTful APIs

• Build and deploy microservices on cloud platforms

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Culture values curiosity and continuous learning

Education Requirements:

• Graduate degree in a quantitative discipline or equivalent experience

Experience Requirements:

• 3-5 years of hands-on industry data science experience

• Experience building production-grade ML deployments

• Experience with NLP, vector databases, and LLM deployment

• 2+ years customer-facing experience (preferred)

• Experience communicating technical concepts

Other Requirements:

• Experience with TensorFlow/PyTorch

• Experience with Apache Spark (preferred)

• Experience with Databricks platform (preferred)

• Passion for life-long learning

• Meet expectations for technical training within 3 months

Responsibilities:

• Build and productionize customer data science workloads

• Develop LLM solutions (RAG architectures)

• Advise data teams on architecture and best practices

• Provide technical mentorship to the SME community

Experience Requirements:

• 2-6 years of experience in Software/Technical Account Management or Customer Success

• Experience in a SaaS environment

• Experience in negotiating terms, pricing, and reviewing contracts

Other Requirements:

• Strong technical knowledge, particularly in APIs and integrations

• Proficiency in maintaining accurate and timely information within CRM databases

• Excellent listening and sales skills

Responsibilities:

• Possess a solid technical background with a focus on APIs and integrations

• Strive to achieve or overachieve monthly and quarterly revenue targets

• Collaborate with Sales teams on sales strategies, renewals, and upsell opportunities

• Serve as the primary point of contact for clients and managing relationships

• Conduct regular check-ins and facilitate Quarterly Business Review (QBR) meetings

Experience Requirements:

• 5+ years of experience

• 5+ years in backend development support, production support, or DevOps/SRE roles

Other Requirements:

• Expert in Python, Django, SQL, and Linux troubleshooting

• Experience with cloud architecture (AWS), Docker, and Kubernetes

• Strong scripting/automation mindset (Bash/Python)

• Understanding of CI/CD, observability, and release workflows

Responsibilities:

• Own the resolution of mission-critical production issues

• Lead RCA reviews and drive systemic improvements in architecture and processes

• Identify performance bottlenecks and propose architectural changes

• Write clean and maintainable code primarily using Python and Django

• Lead and mentor L1/L2 engineers on troubleshooting best practices

Experience Requirements:

• Previous Enterprise Sales/ Technical Account Management or Customer Success/ Consulting experience

Other Requirements:

• Understanding and Implementation of API's is mandatory

• Understanding of the cloud telephony or telco industry is preferable

Responsibilities:

• Manage expectations and provide guidance using APIs and integration

• See-through to the launch of new solutions/ projects

• Conduct QBR meetings with clients

• Strive to achieve/ over-achieve revenue targets through upselling and cross-sell

• Negotiate terms, pricing, and review contracts