AI Jobs

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Mastery of distributed systems

• Track record of architecting large-scale compute systems

• Expertise with columnar formats

• Deep production experience with Spark or Flink

• Fluency in Java, Rust, Go, or C++

Other Requirements:

• Demonstrated leadership

• Passion for bridging research and production

Responsibilities:

• Define global metadata and transactional substrates

• Architect self-optimizing systems for data efficiency

• Pioneer approaches to encoding and layout

• Lead development of distributed compute platforms

• Collaborate on translating research to production

Benefits:

• Choice of Medical plans

• Dental and vision insurance

• Patient advocacy program

• FSA (Flexible Spending Account)

• Short- and long-term disability plans

Education Requirements:

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

• Master’s degree (Alternative)

Experience Requirements:

• 6 years of experience as Data Scientist (or 3 years with Master's degree)

• 3 years of experience consulting with customers on end-to-end data science solutions

• 3 years of experience building and implementing machine learning or AI models into production

• Experience with predictive modeling and complex statistical analysis

• Experience building end-to-end AI solutions including problem framing and data preparation

Other Requirements:

• Ability to develop predictive models and AI algorithms across various industries

• Expertise in integrating models into client environments

• Ability to solve complex data science problems by building end-to-end AI solutions

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions for customers

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Carry out AI implementation and operationalization

• Train end users and guide clients on evaluating success criteria

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in a technical field (sciences, engineering, stats, etc.)

• Advanced degree (Nice to have)

Experience Requirements:

• 3+ years of building and implementing analytics solutions for stakeholders

• Fluency with scripting in Python

• Professional experience building data pipelines and/or performing data preparation

• Exposure to AI/ML modeling techniques

• Experience with supporting US Federal government organizations (Nice to have)

Other Requirements:

• Must be a US citizen

• Must have an active Secret or Top Secret/SCI clearance

Responsibilities:

• Complete a 6 month structured and independent training program

• Provide DataRobot platform and data science support to clients

• Enable customers to solve complex data science problems using DataRobot

• Identify and prioritize customer problems and opportunities

• Work side by side with sales, success and engineering teams

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

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

• Master’s degree in Engineering, Data Science, or a related field (Nice to have)

• MBA (Nice to have)

Experience Requirements:

• 8+ years in a technical product management role

• Experience introducing radical new products (0 to 1)

• Deep understanding of data preparation and management for AI

• Experience working directly with public cloud services (AWS, GCP, Azure)

• Knowledge of the AI/ML landscape for on-premises and cloud infrastructure

Other Requirements:

• Experience with isolated, air-gapped, or network-restricted environments (Nice to have)

• Understanding of development, deployment and governance solutions for Agentic AI

Responsibilities:

• Lead technical discussions and be a thought leader during product reviews

• Define product strategy, detailed requirements, and collaborate with engineering

• Develop and manage end-to-end product plans

• Work closely with customers to ensure successful product adoption

• Provide hands-on leadership during analysis, design, and implementation

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Experience building and maintaining product analytics pipelines

• Strong understanding of data warehousing concepts and SQL

• Experience working with cloud providers (AWS, Azure, GCP)

• Solid programming foundations and proficiency in Python, Scala, or R

Other Requirements:

• AWS cloud certification is a plus

Responsibilities:

• Architect and deliver scalable, reliable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products like data marts

• Instrument telemetry capture and data pipelines

• Maintain and support deployed ETL pipelines and ensure data quality

Benefits:

• Market Leader in Total Rewards

• Remote-Friendly Culture

• Flexible working environment

• Be part of a world-class team

• Career Growth

Experience Requirements:

• 10+ years of software engineering experience

• Proven leadership across global, distributed teams (USA, EU, APAC)

• Expertise across the full SDLC and development of products targeting on-perm and cloud Kubernetes based environments

• Experience with product development for on-perm delivery to restricted environments

• Solid experience coaching and mentoring teams

Other Requirements:

• Excellent communication, stakeholder management, and problem-solving skills across all organizational levels

• Comfortable operating in fast-paced, ambiguous environments

• Hands-on mindset with experience in architecture and code reviews

• Strong interest in AI/ML-driven products

Responsibilities:

• Coordinate and execute the APAC technical roadmap aligned with business and product goals

• Lead end-to-end software delivery ensuring high quality, scalability, security, and reliability

• Champion best practices in architecture, design, coding standards, testing, and security-first development

• Actively participate in product design, architecture, security, and planning discussions

• Serve as the senior on-site engineering Sri Lanka leader for the Sri Lanka office

Experience Requirements:

• 6+ years’ experience building production-grade data pipelines

• Deep expertise in DBT

• Strong SQL skills

• Experience delivering Star Schemas

• Hands-on experience with Google Cloud Platform (BigQuery)

Other Requirements:

• Python experience is a strong plus

• Git knowledge is a strong plus

• Experience with SaaS and marketing data sources

• Familiarity with AI-assisted development tools

• A passion for debugging complex data issues

Responsibilities:

• Manage and optimise our end-to-end data infrastructure and ELT pipelines

• Develop, test, and maintain complex DBT models

• Bridge the gap between data and visualisation

• Drive the continuous improvement of our data engineering practices

• Mentor junior engineers and collaborate with Data Scientists

Education Requirements:

• Senior and above

Other Requirements:

• US citizen/visa only

• Self-starter

• Unafraid of hard challenges

• Java, Kotlin, Python, TypeScript skills

Responsibilities:

• Develop smarter crawlers to extract information

• Train lead representation models

• Build tools for AI qualification questions

• Study user behavior to build engaging UI

• Innovate and improve product performance

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 3 - 6+ years as a manager in rapidly growing organizations

• At least 1 year as a manager of managers

• Track record of leading performance engineering (load test and chaos engineering)

• Experience running production workloads in more than one cloud provider

• Experience managing workloads across containerized solutions and Kubernetes

Responsibilities:

• Scope, resource, and execute a company-wide reliability and engineering velocity roadmap

• Work at the level of small tiger teams to unblock and drive execution

• Recruit top ICs and managers to scale the team

• Mentor senior engineering staff and develop their careers

• Establish and maintain a hivemind, de-siloed culture across pods

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years as a software engineer

• 2+ years managing software engineering teams

• Experience in AI Infrastructure domain (LLM workflows, retrieval)

• Skilled in building secure systems in major cloud platforms (GCP preferred)

• Familiar with containers, databases, and modern frontend frameworks

Responsibilities:

• Recruit and mentor engineers with backgrounds in LLM-driven workflows

• Provide regular feedback and create career growth opportunities

• Work with ML/AI Research, Inference, and Data teams to support projects

• Guide architectural discussions and advocate for technology projects

• Set high standards for software quality and regulatory compliance

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework

Experience Requirements:

• 3–5 years in organic social content or growth for mobile apps/consumer brands in the US

• Proven performance-driven mindset with viral content experience in the US

Other Requirements:

• Strong data literacy and platform analytics expertise

• Hands-on AI tools usage (Kling, Higgsfield, Sora, Suno, HeyGen etc.)

• Deep understanding of platform algorithms and content distribution

• High ownership, low ego

Responsibilities:

• Turn organic growth goals into clear content hypotheses and tests

• Own ideation, production, publishing, and iteration of organic content

• Analyze content performance at a granular level

• Use AI for ideation, scripting, editing, captions, repurposing, and localization

• Run a structured content testing framework across platforms

Benefits:

• Top-tier salary to match your top-tier skills

• Equity growth via stock options

• 26 days holidays plus bank holidays

• Yearly off-sites

• Health and wellness benefits through Safetywing

Experience Requirements:

• 4–7 years in paid ads creative or growth for mobile apps

• Proven performance-driven mindset

Other Requirements:

• Strong data literacy

• Hands-on AI tools usage

• High ownership, low ego

Responsibilities:

• Turn growth goals (CAC, ROAS) into clear creative hypotheses and tests

• Own briefing, production, launch, and iteration of paid creatives

• Analyze creative performance at a granular level

• Use AI for ideation, scripting, copy, variants, and localization

• Run a structured creative testing framework

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Appreciation and rewards on performance achievements

Education Requirements:

• Degree in Computer Science, IT, or similar field

• Master’s is a plus

Experience Requirements:

• 1 - 2 years

Other Requirements:

• Experience of Python, Java/Scala

• Great Statistical / SQL based Analytical Skills

• Understanding of Data warehousing, ETL tools, machine learning, Data EPIs

• Excellent in Algorithms and Data Systems

• Understanding of Distributed System for Data Processing and Analytics

Responsibilities:

• Develop, construct, test and maintain Data Platform Architectures

• Align Data Architecture with business requirements

• Liaising with coworkers and clients to elucidate the requirements for each task

• Scalable and High Performant Data Platform Infrastructure

• Reformulating existing frameworks to optimize their functioning

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Appreciation and rewards on performance achievements

Education Requirements:

• Degree in Data Engineering

• Big Data Analytics

• Computer Engineering

• Related field

Experience Requirements:

• 1-2 years

Other Requirements:

• Experience of Python, Java/Scala

• Great Statistical / SQL based Analytical Skills

• Understanding of Data warehousing, ETL tools, machine learning, Data EPIs

• Excellent in Algorithms and Data Systems

• Understanding of Distributed System for Data Processing and Analytics

Responsibilities:

• Develop, construct, test and maintain Data Platform Architectures

• Align Data Architecture with business requirements

• Liaising with coworkers and clients to elucidate the requirements for each task

• Scalable and High Performant Data Platform Infrastructure

• Reformulating existing frameworks to optimize their functioning

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Appreciation and rewards on performance achievements

Education Requirements:

• Degree in Data Engineering

• Big Data Analytics

• Computer Engineering

• Related field

Experience Requirements:

• 2 - 4 years

Other Requirements:

• In-depth knowledge of distributed systems and computer science

• Design and management of data lakes / data warehouses / analytical stores

• Experience of Python, Java/Scala

• Great Statistical / SQL based Analytical Skills

• Understanding of Data warehousing, ETL tools, machine learning, Data EPIs

Responsibilities:

• Develop, construct, test and maintain Data Platform Architectures

• Align Data Architecture with business requirements

• Liaising with coworkers and clients to elucidate the requirements for each task

• Scalable and High Performant Data Platform Infrastructure

• Transforming Raw Data into InSights

Education Requirements:

• Foundational domains like math and computer science

Experience Requirements:

• No ML experience required

• Passion for data and programming

Other Requirements:

• Politically neutral

• Maniacal commitment

Responsibilities:

• Data engineering

• Programming

Benefits:

• learning opportunities

• mental wellbeing programs

• healthcare

• healthy work-life balance

• flexible working arrangements

Experience Requirements:

• Strong practical knowledge of Python

• Experience with geospatial data formats

• Experience with data pipelines

• Familiarity with async processing patterns

• Solid understanding of PostgreSQL

Other Requirements:

• outcome-oriented

• enjoy optimizing systems for performance and scale

Responsibilities:

• Build and optimize preprocessing pipelines

• Develop postprocessing services

• Design resilient, memory-efficient services

• Work on unified Huntr-to-Replika pipeline

• Tackle coordinate reference systems and spatial indexing

Benefits:

• International projects with global enterprises

• Flexible work arrangements

• Career paths

• 20 fully paid days off

• Integration budget

Education Requirements:

• Bachelor's or Master's degree in Data Science or related

Experience Requirements:

• Commercial experience designing AI solutions

• Proficiency in ML algorithms

• Strong programming skills in Python

• Expertise in cloud (AWS or Azure)

• Knowledge in applying LLMs

Other Requirements:

• High proficiency in English (C1 level)

Responsibilities:

• Lead development and implementation of ML

• Lead the design of AI solution architectures

• Research and select best technologies

• Architect data pipelines and workflows

• Present findings clearly to stakeholders

Benefits:

• Health insurance with international coverage

• Free access to proper mental health care

• Life and Disability Insurance

• Flexible time off

• Meaningful equity

Experience Requirements:

• 8+ years of software engineering experience

• 4+ years leading teams focused on infrastructure, platform or security

• Track record of improving system reliability and security in SaaS

• Experience with cloud infrastructure (AWS, GCP, or similar)

• Experience leading or partnering on cybersecurity initiatives

Other Requirements:

• Experience with Kubernetes, Terraform, or cloud-native security tooling

• Experience with modern JavaScript (Node.js/TypeScript)

Responsibilities:

• Leading and growing Infrastructure and Security teams (3–6 engineers)

• Owning reliability, observability, performance, and security of cloud infrastructure

• Designing internal tooling and CI/CD pipelines

• Preparing infrastructure foundations to support AI/ML workloads at scale

• Supporting engineers through coaching and mentorship