AI Jobs

Benefits:

• Great salary plus equity

• Learning budget

• Globally distributed team working on AI

• Premium AI tools (ChatGPT, Claude, etc.)

Experience Requirements:

• Experience leading engineering teams that build and scale end-to-end production systems

• Deep understanding of AI/ML systems (agent orchestration, RAG, etc.)

• Proven ability to translate business needs into technical deliverables

• Background as a founder or engineering lead (preferred)

Responsibilities:

• Lead a team of engineers building production-grade AI agents

• Own success outcomes for a portfolio of strategic accounts

• Shape the platform based on deployment learnings

• Coach and mentor engineers

• Coordinate with Sales and CS to deliver results

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Globally distributed team culture

Experience Requirements:

• Successfully scaled engineering teams to 30+

• Technical depth with AI-native fluency

• Experience leading teams that ship regularly at scale

• History of making technical decisions that shape company direction

• Experience building with conversational AI, event-driven systems, or CX platforms

Other Requirements:

• Startup DNA and comfort with ambiguity

• Infectious energy and positive culture builder mindset

Responsibilities:

• Set technical roadmap and align with business goals

• Double the engineering team over 12-18 months

• Stay hands-on with AI tools and coding experiments

• Partner with product/design/revenue leadership

• Establish scaling practices and drive velocity

Benefits:

• A competitive compensation package including opportunities for employee options awards

• Opportunities to enjoy meaningful and disruptive works on game-changing products

• A flexible, supportive and productive working environment

• Passionate colleagues and friends

• A strong commitment to your personal and professional growth

Experience Requirements:

• 2+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product

• Real-world experience in working with customers to develop and deploy Data Science and ML solutions

Other Requirements:

• Solid analytical thinking and problem-solving skills

• Hands-on experience and demonstrable ability to code fluently in Python

• Strong working knowledge of efficient data structures, computational complexity and algorithms

• Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series

• Strong experience and demonstrable skills in Data Science stack (scikit-learn, pandas, numpy, scipy)

Responsibilities:

• Applying Data Science and Machine Learning to solve real-world business problems

• Developing new data-science / ML functions across products

• Taking charge of existing code base for continuous maintenance, bug fixing, and improvement

• Working with the Software/DevOps Engineering team to brainstorm ideas and develop new features

• Participate the design process for new features as a representative from the Data Science team

Benefits:

• 40-60k

• Mentoring

• Stress-free environment

• Monthly team events

• Comfy chairs

Experience Requirements:

• Fluent in SQL

• Basics in Python

• Previous coding experience

• Data analytics and visualization experience

• Abstract thinking

Other Requirements:

• Problem solving with algorithms

• English fluency

Responsibilities:

• Examine data for irregularities

• Automate data enhancement

• Integrate data sources

• Prepare data for visualization

• Build dashboards and reports

Benefits:

• CZK 100k+

• Stock options

• Stress-free environment

• Mentoring

• Monthly team events

Experience Requirements:

• Problem analysis

• Maintaining larger systems

• Infrastructure maintenance

• Writing maintainable code

Other Requirements:

• Passionate

• Reliable

Responsibilities:

• Take care of primary data structures

• Manage ETL pipelines

• Optimize and automate processes

• Maintain infrastructure

• High-level architecture

Benefits:

• 100k+

• Flexibility

• Mentoring

• No stress

• Monthly team events

Experience Requirements:

• Python development

• Problem analysis

• PostgreSQL and SQL

• Linux basics

• Designing data structures

Other Requirements:

• Proactive improvement

• Open communication

Responsibilities:

• Manage primary data structure

• Maintain ETL pipelines

• Integrate data sources

• Optimize and automate processes

• Maintain infrastructure

Benefits:

• 60-70k

• Flexibility

• Mentoring

• Stress-free work

• Monthly team events

Experience Requirements:

• Python and SQL experience

• Analytical thinking

• Clean code

• Linux basics

Other Requirements:

• Enthusiasm

• Team cooperation

Responsibilities:

• Manage ETL pipelines

• Integrate data sources

• Optimize and automate processes

• Data quality and deduplication

• Infrastructure care

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Impact from day one

• Room to grow

• Flexibility

• Transparency

• Great pay + stock options

Experience Requirements:

• experience in writing good software

• expertise in distributed systems and data wrangling is a huge plus

• good intuition about modern data and API architecture

• comfortable working with challenging data problems and cloud environments

Responsibilities:

• Develop our agentic systems: R&D new capabilities, improve how agents understand our codebase and implement features, evolve the frameworks.

• Build and scale our data pipelines: Work with Python, Prefect, DuckDB, Polars, Trino and dbt to process millions of records daily.

• Design rock-solid infrastructure: Shape the architecture of our AWS-based stack, deploying solutions with Terraform and containerization using Docker.

• Power our API platform: Use FastAPI to deliver blazing-fast insights to our users, backed by PostgreSQL and optimized for growth.

• Work close to the customer

Benefits:

• Meaningful (double digit!) equity stake

• Competitive compensation

• Sweet offsites

• Company-provided health insurance

• Mobile-phone reimbursement

Experience Requirements:

• At least 3 years of experience as a software engineer

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

Other Requirements:

• Some expectation of on-call platform support

• Bonus points if you've been a founder or built 0 to 1 before

• SF / Bay Area based candidates only, 3 days/week in SF

Responsibilities:

• Help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence

• Work on interesting features on our query intelligence, distribution engine that help our users get near instant response times

• Work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA, Deepseek and Anthropic to build amazing user experiences

• Work on how AI models enable powerful automated workflows

• Own technical execution across a team of three engineers

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Education Requirements:

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

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Benefits:

• Private healthcare plan + life insurance

• Sportscard for various sports activities

• Free English classes

• 20/26 days of paid holiday

• Training budget for skill development

Experience Requirements:

• 5+ years of relevant experience in data science/engineering

Responsibilities:

• Deploy machine learning solutions in production on AWS & GCP

• Participate in product discovery to propose ML product features

• Design, implement, and validate ML algorithms for visual similarity and recommendations

• Develop image-to-metadata solutions using multimodal LLMs to enhance artwork catalog data

• Write clean, efficient code following best practices in software development.Build prototypes, conduct experiments, and manage end-to-end ML projects.Collaborate with product, data engineering, and cross-functional teams.Research and evaluate new tools and technologies

Other Requirements:

• Good to Expert level understanding of geospatial systems, concepts, patterns, and software, including both legacy formats and software, as well as the hottest newest open-source packages and tools

• Professional experience writing production-ready Python code that leverages modern software development best practices (automated testing, CICD, observability)

• Experience working on a team of developers, maintaining a shared codebase, and having your code reviewed before merging

• Strong DB Expertise in an Amazon environment (RDS, Postgres, and DynamoDB)

• Strong ETL Experience (especially in extraction and ingestion of 3rd party data)

• Familiarity with machine learning concepts

• Familiarity with asynchronous programming

Responsibilities:

• Onboard new geospatial datasets into our systems: imagery, parcels, extracted polygons, and build ETL pipelines to automate these processes

• Manage the interface between our AI systems and the input data they need to operate via streaming systems, storage systems, and caching systems

• Be aware of, and manage 3rd party provider rate limits, and architect our systems to gracefully deal with these limits while maximizing our throughput

• Participate in an agile product development process, where collaboration with stakeholders is a vital step to building what is needed

• Challenge and be challenged on a diverse, collaborative, and brilliant team Write automated test suites to ensure the quality of your code Contribute to open-source geospatial software Build solutions that enable new products -- typically involving large scale or intricate geospatial techniques Build-in system quality from the beginning by writing unit & integration tests and integrating with logging, metrics, and observability systems

Experience Requirements:

• 3+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Responsibilities:

• Work on new features development, RTB tickets.

• Create a design document for any enhancement or feature request in platform.

• Estimate the effort required for building / integrating capabilities, get approval from PM/EM/Architect.

• Create epics / stories for each of work items and detailed plan of action.

• Ensure code coverage, FMEA and end-to-end testing is planned for each feature/enhancement made.

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.