AI Jobs

Benefits:

• Pet Insurance

• Health Insurance

• Dental Insurance

• Vision Insurance

• FSA

Education Requirements:

• Bachelor’s degree in a STEM or quantitative field, or equivalent experience

Experience Requirements:

• Professional experience working with data in a technical or analytical capacity

• Proficiency in SQL and experience querying complex relational databases

• Experience analyzing datasets to identify patterns or discrepancies

• Typically 2–5 years of relevant experience

Other Requirements:

• Strong analytical and problem-solving skills

• Comfort leveraging AI tools to improve efficiency and workflows

• Ability to operate effectively in a matrixed, cross-functional environment

• Clear written and verbal communication skills

• Curiosity, attention to detail, and strong desire to grow technically

Responsibilities:

• Serve as a technical expert responsible for ensuring data accuracy and validating backend systems

• Query and analyze healthcare datasets to identify data quality issues and anomalies

• Validate data integrity through backend systems and configuration reviews

• Troubleshoot ingestion, transformation, and orchestration failures

• Monitor job workflows and diagnose dependency or sequencing conflicts

Benefits:

• Pet Insurance

• Health Insurance

• Dental Insurance

• Vision Insurance

• FSA

Education Requirements:

• Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree

Experience Requirements:

• SQL: 5+ years

• Python: 3+ years

• Spark: 4+ years

• Database Architecture: 2-3 years

• Cloud Architecture: 1-2 years

Other Requirements:

• Problem solve coding issues with frameworks built in Spark

• Critical thinking and problem solving skills for complex problems

• Internal and external professional communication skills

Responsibilities:

• Drive successful development of solution architecture and data pipeline connectors

• Improve the process of how we design and document data pipelines

• Identify high leverage improvement projects and drive them to completion

• Participate in peer code reviews, sprint planning, and product grooming

• Contribute to multiple implementations simultaneously

Responsibilities:

• Build an agentic AI platform to help eCommerce brands scale smarter and protect revenue

• Proactively detect and act on what breaks growth

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD in a relevant technical discipline preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing or consulting roles strongly preferred

• Proficient in Python (Pandas) and core ML libraries

• Skilled in SQL for querying/manipulating datasets

Other Requirements:

• Expertise in writing well-structured, modular, documented code

• Knowledge of engineering best practices (Git, CI/CD, testing)

• Ability to translate technical concepts into clear business value

• Experience with DevOps tools (Airflow, Kubernetes, Terraform) is a plus

Responsibilities:

• Collaborate with customer teams on implementations and ML model configuration

• Extend product capabilities by developing reusable data pipelines and APIs

• Refine and advance reinforcement learning algorithms

• Shaping BrazeAI product strategy through technical expertise

• Provide ongoing expertise to ensure successful adoption and outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in production environments and large-scale data

• Proficiency in Python and ML libraries (TensorFlow, Keras, etc.)

Other Requirements:

• Follow strong development practices (Git, CI/CD, code reviews)

• Able to explain complex technical ideas persuasively

• Entrepreneurial problem-solver

• Continuous learner interested in industry trends

Responsibilities:

• Partner with customers to ensure their success with BrazeAI

• Develop reusable data pipelines and components

• Work with RL pipeline development team to advance algorithms

• Contribute to product strategy through customer-facing insights

• Provide technical expertise for measurable customer outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical, dental, and vision plans

• Yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing roles preferred

• Strong technical expertise in Python and SQL

Other Requirements:

• Modular and documented coding skills

• Customer collaborator and clear communicator

• Knowledge of DevOps tools is a nice-to-have

• Skilled in machine learning pipelines and model deployment

Responsibilities:

• Collaborate with customer Analytics/BI teams on data integration

• Extend product capabilities and develop reusable components

• Advance reinforcement learning (self-learning) algorithms

• Translate technical concepts into business value

• Ensure measurable outcomes and long-term customer success

Benefits:

• Healthcare, dental, vision coverage

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles

• Strong SQL and data engineering skills (e.g., dbt, Airflow, data warehouses)

• Proficiency in Python for data analysis and modeling

Other Requirements:

• Excellent communication skills

• Curious, collaborative, and driven

• Experience in B2B SaaS or AI/ML products

• Familiarity with product analytics tools

Responsibilities:

• Define, build, and maintain product metrics, dashboards, and pipelines

• Write SQL and Python code to extract, transform, and analyze data

• Design and run experiments (A/B tests) to support product development

• Proactively explore data to identify product opportunities

• Collaborate with cross-functional teams

Benefits:

• Competitive base salary

• Significant initial equity grant

Experience Requirements:

• Minimum five years of relevant software development experience as a full-stack developer

• Experience with ML / NLP

• Experience with leading a team

• Previous experience working for small startups is a strong plus

Other Requirements:

• MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS, GraphQL)

• Knowledge of Data Structures and Algorithms

• UI/UX experience (Figma, Custom CSS, Material UI, Semantic UI)

• Experience with Docker, Celery, Fast API

• Experience with AWS and Google Cloud Platform

Responsibilities:

• Diving deep to understand the truth

• Taking risks and questioning common assumptions

• Maintain and evolve a responsive company culture

Benefits:

• Competitive salary and equity

• Skilled Worker visa sponsorship in the UK

• Real impact on model quality

• Ownership with support

• Growth in a fast-moving environment

Experience Requirements:

• Strong Python fundamentals

• Solid hands-on Kubernetes experience

• Proven track record with unstructured data, especially images

• Experience developing data-ingestion or parsing tools

• Comfort with S3/object storage

Other Requirements:

• Familiarity with ML workflows (PyTorch)

• Experience with image quality scoring, captioning, or image-to-text pipelines

• Pragmatic, detail-oriented, ownership mindset

• DevOps fluency: Docker, CI/CD, infra automation

Responsibilities:

• Develop and maintain data-ingestion pipelines for large-scale image datasets

• Own the end-to-end flow from raw data to ready-to-train artifacts

• Operate and improve Kubernetes-based data-pipeline framework

• Work with S3-style object storage for efficient layouts

• Add tooling around pipelines for observability and faster iteration

Benefits:

• Competitive salary, equity, and benefits package

• Flexible work environment

• Opportunities for professional growth

• Inclusive culture

• Unlimited, flexible time off

Education Requirements:

• Bachelor’s degree or higher in Fine Arts, Animation, Game Design, or related fields

Experience Requirements:

• Familiarity with fundamental 3D production pipeline (PBR)

• Proficiency in Blender, 3ds Max, Maya, or Substance Painter

• 1–3 years of experience in 3D-related industries

Other Requirements:

• Capable of balancing aesthetic quality with technical constraints

Responsibilities:

• Define 3D art specifications and benchmark standards for AI

• Optimize artistic pipeline for 3D data cleaning and QA

• Monitor quality of models delivered by outsourcing vendors

• Research emerging trends in 3D Generative AI

Benefits:

• Comprehensive health, dental, and vision insurance

• The latest and best office equipment

• Competitive salary, equity, and benefits package

• Flexible work environment

• Unlimited, flexible time off

Education Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or Data Science

Experience Requirements:

• Solid foundation in statistics and core machine learning concepts

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

• Proficiency in SQL

• Prior professional or internship experience in data science

Other Requirements:

• Fluent in both English and Mandarin preferred

Responsibilities:

• Support development and validation of machine learning models

• Assist in building LTV and revenue forecasting models

• Design and analyze experiments to evaluate model effectiveness

• Conduct exploratory data analysis

• Build dashboards and data narratives

Benefits:

• Hands-on experience in applied AI research

• Mentorship from top experts in AI and generative modeling

• Real-world impact through contributions to widely-used products

• A fast-paced, collaborative environment at the forefront of innovation

• Potential pathway to a full-time role based on performance

Education Requirements:

• Enrolled in or recently graduated from a Master’s or Ph.D. program in Computer Science, AI, or a related field

Experience Requirements:

• Hands-on experience with deep learning and generative models (GANs, diffusion, transformers, etc.) applied to video or image generation

• Demonstrated research excellence, including top-tier publications (e.g., CVPR, ICLR, NeurIPS, ICML)

Other Requirements:

• Commitment to working 5 days/week in the office (onsite)

Responsibilities:

• Research and prototype state-of-the-art generative models for video and avatar generation

• Design and implement algorithms for real-time video generation and multimodal interactions

• Collaborate with cross-functional teams to integrate research into HeyGen’s core platform

• Stay up-to-date with the latest advancements in machine learning, computer vision, and generative AI

Benefits:

• Mentorship

Experience Requirements:

• Experience with Python and interest in ML and/or RE

• 0+ years (up to 2)

Other Requirements:

• Desire to learn, experiment, and solve problems

• Collaborative mindset

• Curiosity about how systems work

Responsibilities:

• Assist with development, training, and deployment of ML models

• Support RE projects from code analysis to automation

• Prototype tools that bridge AI and system analysis

• Learn from engineers working at the cutting edge of AI and cybersecurity

Responsibilities:

• Drive quality and documentation standards

• Manage testing programs of increasing complexity

• Bridge multiple teams for modern and legacy products

• Master the integrated ecosystem

• Ensure cross-module functionality aligns with client workflows

Benefits:

• Health

• dental

• vision

• competitive compensation

Experience Requirements:

• Leadership role

Responsibilities:

• Lead our engineering team and drive product development

Benefits:

• competitive salaries

• flexible work hours

• opportunities for professional development

• health insurance

• collaborative work environment at the Domino Sugar Refinery

Education Requirements:

• students and recent graduates

Other Requirements:

• 6 months duration

Responsibilities:

• building resilience into the digital storefronts

• help set new standards for the industry

Benefits:

• Hands-on mentorship from experienced engineers and managers

• Exposure to automation, agentic systems, and real-world AI applications

• Opportunity to work closely with both engineering and customer-facing teams

• A mission-driven culture focused on simplifying complex financial processes

• Flexible, supportive work environment at a fast-growing startup

Education Requirements:

• Currently pursuing a degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Familiarity with one or more programming languages (e.g., Python, TypeScript, JavaScript)

• Interest in automation, backend development, and systems integration

• Strong problem-solving and debugging skills, especially in operational or support contexts

Other Requirements:

• Excellent communication and collaboration skills

• Eagerness to learn in a fast-paced, cross-functional environment

Responsibilities:

• Contribute to building and maintaining automation workflows using tools like n8n, Sola, and internal APIs

• Monitor and troubleshoot automation pipelines to ensure reliability and uptime

• Provide technical support to unblock Customer Success and Onboarding teams

• Collaborate with engineers and operations teams to document and optimize repetitive business processes

• Help test new automations before they go live and gather feedback from internal stakeholders

Benefits:

• Hands-on mentorship from experienced engineers and managers

• Exposure to automation, agentic systems, and real-world AI applications

• Opportunity to work closely with both engineering and customer-facing teams

• A mission-driven culture focused on simplifying complex financial processes

• Flexible, supportive work environment at a fast-growing startup

Education Requirements:

• Currently pursuing a degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Familiarity with one or more programming languages (e.g., Python, TypeScript, JavaScript)

• Interest in automation, backend development, and systems integration

• Strong problem-solving and debugging skills

Other Requirements:

• Excellent communication and collaboration skills

• Eagerness to learn in a fast-paced, cross-functional environment

Responsibilities:

• Contribute to building and maintaining automation workflows using tools like n8n, Sola, and internal APIs

• Monitor and troubleshoot automation pipelines to ensure reliability and uptime

• Provide technical support to unblock Customer Success and Onboarding teams

• Collaborate with engineers and operations teams to document and optimize repetitive business processes

• Help test new automations before they go live and gather feedback from internal stakeholders

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Bachelor’s degree in Engineering or a related field.

Experience Requirements:

• Minimum 2+ years of experience in Big Data.

Other Requirements:

• Proficient in SQL with the ability to write complex queries

• Strong Python skills (Pandas, NumPy, etc.)

• Excellent analytical and critical thinking abilities

• Familiarity with Google/AWS/Azure Cloud & Apache Spark

• Familiarity with Air Flow and Shell scripting

Responsibilities:

• Understand and leverage data assets with product and engineering teams

• Set up data processing pipelines using SQL, Python, Spark, and cloud

• Develop and optimize strategies for data storage and retrieval

• Research alternative data sources and assess their integration

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Experience Requirements:

• At least 4 years of experience in data engineering

Other Requirements:

• Proficiency in Python, SQL, and Infrastructure as Code (Terraform)

• Proficiency with AWS/Azure/GCP and vector databases

• Experience with MLOps tools and model deployment pipelines

• Experience with LLMs, embeddings, and RAG systems

Responsibilities:

• Design and build scalable real-time data pipelines for AI model training

• Execute initiatives for collecting and storing data from sources including LLMs

• Partner with AI R&D and Data Platform teams for data flow

• Provide support to AI Research & Development using data warehousing

• Stay current with emerging tools in AI data engineering