AI Jobs

Benefits:

• Staff-first culture

• Mentorship

• Individual Development Plan

• Learning and growth

• Trust and transparency

Experience Requirements:

• Technical excellence

• Culture fit

• High performer

Other Requirements:

• Complete Topgrading framework process

• Reference checks setup by applicant

Responsibilities:

• Collaborate using an Agile approach

• Work in achievable sprints

• Technical deployments

Benefits:

• Staff-first culture

• Mentorship

• Individual Development Plan

• Learning and growth

• Trust and transparency

Experience Requirements:

• Technical excellence

• Culture fit

• High performer

Other Requirements:

• Complete Topgrading framework process

• Reference checks setup by applicant

Responsibilities:

• Collaborate using an Agile approach

• Work in achievable sprints

• Technical deployments

Benefits:

• Paid internship opportunity

Education Requirements:

• Pursuing a degree in Engineering (Mechanical, Electrical, Aerospace, or Computer Engineering) from an accredited U.S. university

• Rising Sophomore or Junior with a strong academic record

Experience Requirements:

• Past experience with, and a desire to, work hands-on with physical projects

Other Requirements:

• Must be a U.S. citizen

• Curious about new challenges and willing to work outside your comfort zone

• Ability to work effectively in a collaborative team environment

• Strong problem-solving skills and taking initiative

• Excellent communication and organizational skills

Responsibilities:

• Assist SpaceFactory engineers in building and testing prototypes

• Assemble equipment and conduct experimental tests under supervision

• Participate in NASA-related research and development

• Engage in multidisciplinary team discussions and contribute to problem-solving sessions

• Support ongoing projects with design, analysis, and implementation of technical solutions

Benefits:

• Build the data foundation for AI-driven engineering insights

• Work directly with founders and senior architects

• Work visible in dashboards viewed by CTOs and CEOs

• Shape productivity measurement for thousands of engineers

• Fast-moving, no-ego, design-driven culture

Experience Requirements:

• 5 to 10 years

• 6–10 years as a Backend or Data Engineer

• Deep hands-on expertise with Java and AWS

• Experience fetching data from GitHub, Jira, or Jenkins APIs

• Expertise in Postgres performance tuning

Other Requirements:

• Strong fundamentals in data modeling and incremental updates

• Experience handling 100M+ records in multi-tenant environments

• Knowledge of AWS (S3, ECS, RDS, Lambda, CloudWatch)

• Ability to build self-healing, production-grade pipelines

Responsibilities:

• Build and scale multi-source data ingestion from Git and Jira

• Refactor and optimize Java-based ETL pipelines

• Design and implement parallel, event-driven processing (Kafka/SQS)

• Own Postgres optimization (schema, partitioning, indexing)

• Maintain data orchestration, lineage, and observability

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Education Requirements:

• Bachelor’s degree in Information Security, Computer Science, or related field

Experience Requirements:

• 12+ years of progressive cybersecurity leadership experience

• Experience with Cloud Security and controls in AWS environments

• Strong knowledge of FFIEC, GLBA, and other lending regulations

• Knowledge of SOC controls and general IT security frameworks

• Hands-on knowledge of data security, encryption, and threat modeling

Other Requirements:

• Certifications like CISSP, CISM, or CCSP preferred

• Experience in a startup or high-growth SaaS/AI company preferred

Responsibilities:

• Own all aspects of Security, Privacy, and Compliance across the company

• Lead cybersecurity incident response and risk assessment programs

• Oversee compliance with GLBA, FFIEC, and SOC 2 frameworks

• Partner with Sales and Legal to address security inquiries

• Build, mentor, and grow a high-performing security engineering team

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Experience Requirements:

• 8+ years of backend engineering experience building distributed systems

• Strong experience with low-latency systems (Voice, Telephony, Streaming)

• 3+ years working with LLM-powered or AI-driven systems in production

• Hands-on experience designing and orchestrating agentic workflows

• Experience managing engineers while remaining deeply hands-on

Other Requirements:

• Strong proficiency in Typescript and backend languages (Node.js, Go, Java)

• Experience deploying AI systems in cloud environments

Responsibilities:

• Drive AI-first thinking across product architecture and execution

• Architect systems coordinating multiple AI agents with memory and planning

• Design distributed backend systems serving real-time interactions

• Maintain high standards for observability, monitoring, and debugging

• Build and grow a high-performance team with bias to action

Benefits:

• Generous equity package

• Unlimited PTO

• Top-of-market salary

• Great healthcare

• 401k

Experience Requirements:

• 2–3 years of engineering leadership experience in high-growth or startup environments

• Strong technical foundation as an individual contributor (IC)

• Experience collaborating closely with AI/ML teams or working on AI products

Other Requirements:

• Ability to manage and grow a high-performing team

• Excellent communication and collaboration skills

• Comfort with hybrid work — this role requires being in our Pleasanton office 3x/week

Responsibilities:

• Lead a team of engineers building AI-driven applications

• Collaborate closely with AI researchers, security experts, and product managers

• Participate in design reviews and unblock technical challenges

• Drive engineering excellence and team growth

• Be a key partner in shaping our product strategy and technical roadmap

Experience Requirements:

• 3+ years of experience building production-grade data acquisition or scraping systems using Python

Other Requirements:

• Strong experience with browser automation tools

• Experience with location-based or geospatial data extraction

• Solid understanding of HTTP and networking fundamentals

• Strong focus on data quality, validation, and reliability

Responsibilities:

• Design, build, and maintain scalable data acquisition pipelines

• Simulate location-based user journeys to capture geo-specific information

• Handle dynamic, JavaScript-heavy environments

• Build distributed crawling systems capable of ingesting millions of data points

• Implement monitoring, alerting, and automated recovery mechanisms

Benefits:

• Health insurance

• Generous vacation policy

• Learning and development budget

• Team events and company offsites

• Company laptop and Devices

Experience Requirements:

• 5+ YOE

• 4-6+ years of experience in data engineering, data platform, or similar roles

Other Requirements:

• Strong expertise with Databricks: Spark, Delta Lake

• Proficiency in Python, SQL

• Familiarity with cloud platforms (AWS, Azure, GCP)

• Understanding of data governance and security

• Ability to write clean, maintainable code

Responsibilities:

• Design and build scalable data pipelines on Databricks

• Implement and manage data architecture

• Optimize data pipelines for performance, cost, and reliability

• Collaborate with data science, product, and engineering teams

• Provide technical leadership and mentor junior engineers

Education Requirements:

• A degree in Industrial Economics and Management, Engineering, Computer Science, Economics, Business, or a related field

Experience Requirements:

• At least 3–5 years of experience in revenue analytics, RevOps, or data analytics

• Solid knowledge of SQL and experience querying and modelling data

• Working experience with Python for data analysis, automation, or transformation

• Experience working with data transformation and orchestration tools such as dbt, Airflow

• A strong understanding of B2B revenue metrics and funnels

Other Requirements:

• Fluency in English

• Swedish is a plus

Responsibilities:

• Own and develop the data foundation of Tendium’s commercial organisation

• Take responsibility for integrations between applications in the commercial and data tech stack

• Design and maintain data transformation and orchestration pipelines

• Own CRM and revenue data quality at scale

• Create and maintain dashboards, reports, and analytical views

Experience Requirements:

• Proven track record designing, deploying, and operating production-grade data pipelines

• Hands-on experience building microservice architectures using AWS services

• Strong proficiency in Python

• Familiarity with async programming patterns

Other Requirements:

• Ability to commute daily to our Stockholm office

Responsibilities:

• Sourcing procurement and other relevant data

• Designing and maintaining robust data pipelines

• Conducting research to uncover new opportunities

• Building and maintaining microservice architectures

• Integrating AI tooling effectively into daily workflows

Benefits:

• opportunity to become a co-owner

• remote work

• open to new technologies

• no grades

• no strict vertical relationships

Experience Requirements:

• experience in industrial development in Python from 3 years

• experience with Kubernetes and Google Cloud

• experience with pandas, scikit-learn, xgboost, TensorFlow libraries

• experience with Linux environment

Other Requirements:

• excellent data skills in Python / SQL / BigQuery

• understanding of microservice architecture

• team player, independent, and passionate

Responsibilities:

• setting up the CI/CD process

• setting up monitoring and alerts

• improving storage security

• building Data pipelines in Kubernetes and Google Cloud

• development of microservices for big data and ML

Education Requirements:

• Grit, hunger, and drive are prioritized over a specific alma mater.

Experience Requirements:

• Proven ability to translate ambiguous business problems into clear, actionable insights

• Hands-on experience using SQL and Python for analysis in a professional setting

• Experience building and maintaining data pipelines, warehouses, and infrastructure

• Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment

• Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB

Other Requirements:

• Sharp, kind, and open-minded approach

• Familiarity with modern data tools like DBT and Airflow

• Experience with SageMaker or an equivalent machine learning / data science platform

• Strong communication skills

Responsibilities:

• Building and maintaining the infrastructure that powers our data platform

• Develop and maintain data solutions alongside a team of data scientists

• Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance

• Surface and integrate data from across the platform to address real business needs

• Continuously evolve our foundational models by identifying and incorporating new data sources

Benefits:

• Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions

• Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.

• A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence

• A competitive salary and scope for further advancement.

• A great environment that promotes open feedback and a flat hierarchy

Education Requirements:

• Strong understanding of fundamentals of Computer Science.

Experience Requirements:

• Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.

• Hands-on experience in developing & running machine learning applications in production.

Other Requirements:

• Strong skills in Python.

• Familiarity with training and serving large language models in production.

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.

Responsibilities:

• Responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Focus on not just on designing the algorithm but also on delivering it at scale.

• Build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.

Benefits:

• Coworking Space (Co-labs | The Starling Mall)

• Laptop

• Unlimited Vacation Days

• Birthday Voucher (RM 100)

• Medical Insurance

Experience Requirements:

• Adept at utilising Google Sheets and Excel with advanced capabilities

• Comfortable using AI tools (e.g. ChatGPT, Claude, scripting assistants)

• Proficiency in English and Malay

Other Requirements:

• Analytical mindset to spot patterns in fieldwork data

• Negotiation and vendor management skills

• Work Permit in Malaysia

Responsibilities:

• Execute and manage survey campaigns end-to-end

• Run smart feasibility assessments using historical trends

• Negotiate with panel vendors for pricing and timelines

• Experiment with AI tools to automate repetitive workflows

• Collaborate with Customer Success and Business Development teams

Benefits:

• Meaningful equity stake in the company

• Flexible PTO

• Work from home stipend

• Medical, Dental, Vision

• 401K

Experience Requirements:

• 5+ years of experience building production data pipelines

• Strong experience with Airflow, Prefect, or Dagster

• Experience with dbt for transformation and modeling

• Proficient in Python and SQL

• Experience with Redshift, Snowflake, or BigQuery

Other Requirements:

• Experience with AWS data services

• Understanding of HIPAA compliance and PHI deidentification

• Experience with LLM APIs and AI performance metrics

Responsibilities:

• Design, build, and maintain data pipelines

• Implement PHI deidentification pipelines

• Develop data infrastructure for product analytics

• Build and optimize data warehouse (Redshift)

• Partner with teams to define data requirements

Education Requirements:

• Bachelor’s/Master’s degree in Computer Science or related field

Experience Requirements:

• 10–15+ years in software engineering

• 5+ years in leadership roles

Other Requirements:

• Track record in SaaS, cloud-native, and AI/ML products

• Strong knowledge of CI/CD and MLOps

Responsibilities:

• Drive cloud-native SaaS architecture and distributed systems design

• Champion CI/CD pipelines for safe and rapid delivery

• Coach engineers to own delivery and experiment

• Align engineering throughput with product roadmaps

• Ensure release reliability through monitoring and observability

Experience Requirements:

• 5+ years building ML systems, especially in computer vision

• Applied AI Expertise

• Production Experience deploying ML models

Other Requirements:

• Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)

• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines

• Ability to work across teams and communicate complex ideas clearly

• Analytical thinking and a focus on continuous improvement

Responsibilities:

• Design and optimise scalable ML systems, focusing on computer vision

• Develop and productionise deep learning models using Python

• Align research, engineering, and product goals through hands-on leadership

• Support junior team members and promote best practices

• Collaborate directly with enterprise clients for solution integration

Experience Requirements:

• 5+ years building ML systems, especially in computer vision

• Applied AI Expertise

• Production Experience deploying ML models

Other Requirements:

• Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)

• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines

• Ability to work across teams and communicate complex ideas clearly

• Analytical thinking and a focus on continuous improvement

Responsibilities:

• Design and optimise scalable ML systems, focusing on computer vision

• Develop and productionise deep learning models using Python

• Align research, engineering, and product goals through hands-on leadership

• Support junior team members and promote best practices

• Collaborate directly with enterprise clients for solution integration

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Education Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field

Experience Requirements:

• 4+ years of experience as a Data Analyst or in a similar analytical role

• Proficiency in SQL for data extraction and manipulation, dbt

• Strong experience with data visualization tools (e.g., Lightdash, Tableau, Power BI, Looker)

• Solid understanding of statistical analysis and experimental design

• Experience with scripting languages (e.g., Python, R) for data analysis

Other Requirements:

• Excellent analytical, problem-solving, and critical thinking skills

• Ability to translate complex data insights into business recommendations

• Bonus: Master's degree, cloud platform experience (GCP, AWS), knowledge of machine learning

Responsibilities:

• Collect, clean, and process large datasets from various sources

• Perform data analysis to identify trends, patterns, and anomalies

• Develop and maintain ETL pipelines, dashboards and reports

• Design and execute A/B tests

• Collaborate with product, engineering and marketing