Benefits:

• Meaningful equity

• Fully paid health care

• Sweet off-sites

• Mobile phone service paid

• Unlimited PTO

Experience Requirements:

• At least 3 years of experience as a software engineer

Other Requirements:

• 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)

• Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems

• Some expectation of on-call platform support

Responsibilities:

• help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence that is collaborative, easy, and works on iOS, Android and the web

• working 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 and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.

Benefits:

• competitive compensation

• sweet offsites

• company-provided health insurance

• mobile-phone reimbursement

• culture of learning and growth

Experience Requirements:

• 3+ years of experience designing mobile and web applications which are are used at scale

Other Requirements:

• Familiarity with responsive design

• Strong familiarity with Figma, Photoshop, CSS, HTML, and ideally After Effects

• Working knowledge of data (querying, visualization, SQL, etc.)

• A great portfolio

• Extreme ownership - you're driven to proactively solve problems, learn new things, and work hard to hit ambitious targets

• A great time player - you work well with others while productively pushing everybody to do their best work

Responsibilities:

• help re-imagine how people use and understand data on mobile and the web.

• design whole new ways for people to query data, create visualizations, and collaborate with data.

• create never-seen-before interactions that delight and inform users and take things that are hard (complex queries, joins, statistical significance) and make them simple and beautiful.

Benefits:

• Health, vision, and dental benefits

• Unlimited vacation

• Frequent team meet-ups in different parts of the world

• Equity options

Experience Requirements:

• Senior level experience with Python

• Senior level experience with backend Cloud services and Dev Ops

• Experience with deploying and serving of ML modes for inference

• Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker

• Understands how to identify and fix performance bottlenecks

Other Requirements:

• Audio and FFMpeg experience

• ML experience

• Nvidia Triton Server, Kubernetes

• NodeJS, Javascript, Typescript

• RDS, Elasticache, PostgreSQL, Redis

• AWS CDK, ExpressJS, FastifyJS, Prisma JS, React

• Github Actions, AWS, DataDog

Responsibilities:

• Working with research team to deploy and optimize new ML models and architectures

• Update our python logic to improve our processing performance to work at scale

• Improve our processing pipeline to improve speed and reliability

• Inspecting and debugging Python code

• Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages Utilize the AWS CDK to update and maintain our cloud infrastructure Assist with efforts to deploy new infrastructure for new services Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript) Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Free gym benefit

• Free lunches and fancy espresso machine in the office

• Company events including happy hours, sauna/cold plunge wellness retreats, Barrys bootcamp, and snow trips

Experience Requirements:

• 3+ years

Responsibilities:

• Architect and build cutting-edge AI data extraction systems

• Work directly with customers to tackle their toughest data challenges often with creative solutions

• Push the boundaries of AI tech and stay on the cutting edge of LLM developments.

• Own projects end-to-end from working with founders or customers on the product proposal, architecting, building, evaluating and testing, shipping to prod, and integrating with customers

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Initiative to locate data sources

• Work with 3rd parties

Other Requirements:

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Basic SQL understanding

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client workflows

• Client stakeholder mapping and management

• Product deployment planning

• Data sourcing

• Data loading

Education Requirements:

• Ideal candidates will have completed one or several machine learning courses on Coursera, such as Stanford's machine learning course, or the Deeplearning.ai specialization.

• Ideal candidates will have completed one or several generative AI courses on coursera, such as generative AI for everyone

Other Requirements:

• You are expected to understand and know the broad steps to develop and improve traditional machine learning - specifically regression and logistic regression.

• Overall you're expected to understand what generative AI is, and simply know its key capabilities. You're not expected to be a technical expert, simply to know what these things are and what to look for.

• Traditional machine learning understanding

• Generative AI understanding

Responsibilities:

• Understand latent needs and pain points

• Define predictions for ML

• Define Generative AI use cases

• Manage Road map

• Writing user stories

Benefits:

• Competitive base salary with uncapped commission potential.

• Flexible work environment with remote options.

• Opportunity to be part of an innovative team at the forefront of cybersecurity and quantum technology.

• Professional growth and learning opportunities in a fast-growing sector

Experience Requirements:

• 2+ years of demonstrated success in SaaS sales, with a preference for experience in cybersecurity, encryption, or data protection industries

Other Requirements:

• Exceptional interpersonal, presentation, and negotiation skills, with the ability to convey technical concepts in a client-friendly manner.

• Familiarity with SaaS platforms; knowledge of cybersecurity or encryption technologies is a strong asset.

• Track record of exceeding sales targets and closing deals.

• Ability to work independently, set priorities, and drive results in a remote or hybrid environment.

• Flexibility to collaborate in-house when required and adjust to evolving client needs or market demands

Responsibilities:

• Lead Generation and Engagement

• Client-Centric Solutions

• Sales Presentations and Demos

• Pipeline and CRM Management

• Market Feedback and Collaboration

Benefits:

• Competitive salary and bonuses

• Remote work flexibility with in-house team collaboration.

• A chance to work on industry-leading technology at the cutting edge of data security.

• Opportunities for professional development and growth within the cybersecurity and quantum technology space

Experience Requirements:

• 2+ years in SaaS product management, with at least 1 years in a cybersecurity or data protection context

Other Requirements:

• Exceptional communication, strategic thinking, and project management skills with a collaborative mindset.

• Understanding of quantum security, data protection, or encryption is a strong asset.

• Proven ability to work closely with customers to understand their needs and translate them into actionable product features.

• Demonstrated success in managing and delivering SaaS products that meet both business and customer objectives

Responsibilities:

• Product Strategy and Roadmap

• Cross-Functional Leadership

• Customer-Centric Development

• Market Analysis

• Product Lifecycle Management

Responsibilities:

• Build personalization engines

• Build generative models

• Build dashboards

• Build forecasting models

• Build chatbots

Benefits:

• 0.2% - 1.2%

Experience Requirements:

• 6+ years

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control