Generative Ai Jobs

MediaBlitz.io (https://mediablitz.io/) is an all-in-one automated PR platform, allowing publicists and agencies to generate articles and publish directly on over 600 news websites in under 15 minutes using the power of AI. This is a truly disruptive SAAS product that will revolutionize the PR / Media space.

As a result, we want to help those interested in PR on how to create your own agency and generate profits in the first month, or become an invaluable PR executive for an existing company and generate industry leading salaries.

We look forward to connecting and training you to use AI to create a competitive edge in the industry. This role is completely remote and can be done anywhere in the world. You need to capitalize on the opportunity there are millions of new startups every year, each one looking for press, and large companies alway need more PR to stay relevant.

We look forward to teaching everything we know and making a large impact in this industry, whether your already an all-star with years of experience or just starting off. Get ready for blastoff! Let's get started!

We're looking to build an interactive, AI-powered text-based adventure platform focused on the Science Fiction genre. Think "AI Dungeon," but with a laser focus on Sci-Fi themes like space exploration, futuristic tech, and alien civilizations.

The product would be more of an interactive novel and would not require the complexities such as multiplayer, etc.

Responsibilities:

AI Model Training: Train a machine learning model specifically on Science Fiction literature, scripts, and other relevant texts.

Backend Development: Implement the trained model into a backend system that can handle multiple user inputs and generate real-time responses.

Frontend Development: Create a user-friendly interface where users can interact with the AI.

Testing and Debugging: Ensure the platform is robust, scalable, and free of bugs.

Documentation: Provide comprehensive documentation for the code and architecture.

Skills Required:

Strong experience in machine learning and natural language processing

Proficiency in Python or other relevant programming languages

Experience with cloud computing platforms like AWS or Google Cloud

Familiarity with frontend development (HTML, CSS, JavaScript)

Strong communication skills

Nice to Have:

A love for Science Fiction

Previous experience in game development or interactive storytelling

Knowledge of UI/UX design principles

Budget and Timeline:

Budget: $10,000 - $20,000 (Negotiable based on experience and skill set)

Timeline: 3-6 months

To Apply:

Please submit your portfolio, resume, and a brief cover letter explaining why you're the perfect fit for this project. Bonus points if you can provide a demo or prototype showcasing your skills in AI or interactive storytelling.

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

As a Senior Data Scientist at Reorg, you will be working on complex problems at the intersection of two dynamic industries - finance and technology. You will work closely with data scientists and data engineers and collaborate with product developers and software developers within the organization to contribute to Reorg's advanced data and product development efforts. You will experience great hands-on learning in a dynamic, fast-paced, and collaborative environment with plenty of opportunities to grow and accelerate your career. You will play a key role in strengthening the technical and scientific foundations of our cutting-edge financial intelligence platform. 

Responsibilities

• Propose, implement, and execute on given frameworks to build data science models to improve current business and create new business avenues.
• Utilize NLP frameworks to effectively parse and process text data from different formats and convert unstructured text data to structured data.  
• Leverage NLP frameworks that provide comprehensive functionality for text analysis. Utilize these frameworks to conduct exploratory data analysis, feature engineering, and gain a deeper understanding of the data to build robust data science models.
• Develop advanced supervised models leveraging NLP, ML, Deep Learning, and LLMs for classification and prediction problems. 
• Build unsupervised models on unstructured text data using LLMs, NLP, and other techniques for Information Extraction, Information Retrieval, and Text Generation tasks.
• Experiment and investigate various data science approaches and techniques to determine the optimal solution to incorporate into the models.
• Overseeing the collection and annotation of datasets for supervised and unsupervised problems, communicating data requirements to support modeling efforts.
• Initiate and maintain ownership and responsibility for both newly developed models as well as assigned existing models and processes to ensure their continuous improvement and success.
• Comprehensively document findings, analysis, and model-development steps, while preserving the documentation and codebase of the models.
• Ensure timely completion of deliverables, maintain clear communication regarding project status, and prioritize tasks effectively.
• Communicate complex technical concepts to a non-technical audience and effectively present insights and results to business stakeholders when required.
• Demonstrate attention to detail and exhibit a strong interest in gaining an understanding of financial concepts.

• Advanced degree (M.S. or Ph.D.) in a quantitative field.
• At least 3+ years of professional experience as a data scientist with experience in leading and managing data science projects.
• Proficiency/strong programming skills in R and Python with proven experience and a strong background in implementing supervised ML techniques and unsupervised modeling techniques in the area of NLP.
• Hands-on experience working with LLMs (Large Language Models) including prompt engineering which involves designing and optimizing prompts to generate high-quality output from LLMs. 
• In-depth understanding and experience in building and utilizing transformer models such as BERT, GPT, etc., and neural network architectures such as LSTM.
• Experience working with deep learning frameworks (such as Keras / TensorFlow / Deepnet / PyTorch/ Huggingface Transformers etc) with a proven track record of training and deploying models using these frameworks.
• Proficiency in working with unstructured text data and performing information extraction and information retrieval tasks.
• The ability to carry out robust statistical and exploratory data analysis to gain insights from the data.
• Familiarity with SQL, and NoSQL databases.
• Ability to interpret and implement research ideas and algorithms, while actively participating in the research and development initiatives of the data science team. Be familiar with the latest techniques and frameworks in the field of NLP.
• Effective communication skills and team player mentality.\
• Strong problem-solving skills, an inclination towards continuous learning, openness to feedback and the ability to make necessary adjustments, a solutions-oriented mindset, and a clear sense of accountability and project ownership are necessary qualifications for this role.

• Professional experience working in the finance industry. 
• Background in handling information extraction and retrieval tasks (IE/IR) specifically from financial industry-related documents like SEC Filings, Transcripts, Press Releases, etc. that come in various formats like XML, PDFs, etc.

At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$150,000. 

The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

ABOUT HEVO

Artificial Intelligence (AI) and Machine Learning (ML)  is transforming the world around us. Algorithms for AI and ML are powered by Data. But the challenge that organisations face in order to leverage the power of AI, ML and Analytics is that the Data is scattered across various different systems. A typical company uses 40-100 different software systems.Getting data from all these softwares systems easily accessible at one place is quite challenging. Hevo solves this problem by offering fully automated Data Pipelines. Companies can now replicate data from multiple systems into a cloud data warehouse within minutes without spending any engineering effort. 2000+ companies across 40+ countries have automated their Data Pipelines using Hevo. With total funding of $42 Mil from Sequoia India, Qualgro, and Chiratae Ventures, Hevo is now entering a new hyper-growth phase.  We are a team of 200+ people spread across San Francisco, Bangalore and Pune. Our founders, Manish and Sourabh, are successful serial entrepreneurs from IIT Roorkee together on a mission to help organisations become data-driven.To know more about us, please visit our website.

WHAT PROBLEM IS HEVO DATA TRYING TO SOLVE?

All companies today, small or big, want to leverage cutting-edge technology - Artificial Intelligence, Machine Learning, and Predictive Analytics - to make smarter business decisions. The foundation/ backbone powering these advancements → Data. Despite the technical advancements, organisations struggle to leverage their data to generate actionable and meaningful insights. Why? Companies are using 100s of different software to run their business today. This makes the business scattered and creates the problem of data silos. To truly leverage Artificial Intelligence, Machine Learning and Analytics – companies need accurate and real-time data from all the different applications. The requirement is such that critical business processes may come to a standstill in case of a lack of accurate or on-time data. This can lead to huge losses. This forces businesses to invest additional engineering bandwidth to build and maintain systems to fetch, clean & transform this data. Using Hevo companies can completely automate the Data Pipeline there by saving huge engineering effort and saving time and cost.

HEVO’S PRODUCT

Our flagship offering is a simple and intuitive No-code Data Pipeline platform that helps companies integrate data from multiple sources, such as databases, SaaS applications, cloud storage, file systems, etc., to a central location, typically a cloud data warehouse, in real time. Our customers love us for the ease of use, reliability of data, and incredible product support. The impact of easy, reliable, and real-time access to data has had far-reaching results for our customers. This has enabled real-time reporting and saved valuable engineering bandwidth for our customers. This, in turn, catalysts timely data-driven decision making, paving the way for exponential growth, precision operations, and unparalleled customer success. With such data accessibility, the possibilities are endless - companies can build futuristic models that can help them solve difficult business problems and unlock untapped potential by operationalising data, deploying ML models with ease, and also build custom data apps/use cases. Our ultimate goal is to enable companies to become data-driven by providing simple and valuable products to integrate, transform, and operationalise data in real-time. Over the next 2-3 years, we’ll augment more offerings to create an ecosystem of the most value-enhancing products for companies in the data analytics space. 

Like how AWS has simplified the path to building great software, we at Hevo are doing the same in the Data Space. 

OVERVIEW OF DIGITAL MARKETING FUNCTION

Digital Marketing at Hevo means rapid experimentation to find channels of growth and then scaling them up. Our philosophy is deeply rooted in data-driven decision-making. Every experiment is planned with an objective and goal in place. Every project is planned to scale the outcome of the underlying successful experiments. The experiments range from channel finalization, messaging, pricing, and feature adoption. Based on this philosophy, we are scaling digital marketing across organic (content marketing), online events, paid marketing, etc. We look at product-led growth as the key differentiator that will help us drive exponential growth. Keeping the product at the center and customer experience closely tied to it, we are constantly looking for new ways to let the right users not only discover our offerings but also derive value in the shortest time possible.

Some of our accomplishments in the growth domain so far are:

Robust organic traffic generation engine with ~1.5 Mil + unique visitors - all organic

Rapidly growing customer base across 40+ countries

Establishing ourselves as a thought and product leader in the data integration space

Multiple industry recognitions such as G2 “High Performer”, FeaturedCustomers, etc.

We have a lot of growth initiatives in the pipeline across multiple channels to ensure different users (personas) and not just data teams within a company can derive value from our product.

The digital marketing team will be at the cusp of the rocketship we’re building.

Role Overview - Head of Digital Marketing

• This role is for someone looking to create an impact using data-driven methodologies to create a sustainable growth strategy for a top-in-class technology product.  Our aim will be to scale our revenues 3-4x every year. Our Digital Marketing function needs to run rigorous activities to identify and scale multiple channels for lead generation and customer conversions to enable this journey. The Head of Digital Marketing will be at the forefront of this. 
• In this role, you will be expected to lead different teams and projects across Organic (SEO), Paid, and Operations. You will be required not just to drive the execution of high-priority growth projects but also to keep constantly innovating to find new ideas and solutions to crack the growth puzzle in a competitive and exciting B2B SaaS market. Hence, the individual should have both the ability to think sharply and also execute at a fast pace.
• Primary KPIs for this role would be No. of Product Trials generated each month while keeping Customer Acquisition Cost under control.

• You aspire to be the best in everything that you do
• You have past experience in building and managing a team of 10+ members
• You are thrilled about committing to an audacious goal and delivering it
• You want to be part of a rocketship, learn with the best team & peers, and grow in your career
• You consider data as your best friend while thinking about growth
• You love working in an agile, fast-paced environment working with smart and dynamic problem solversYou thrive while solving challenging problems

• An opportunity to build your career in the B2B SaaS domain, which is a $100B industry and rapidly growing
• Implement and augment your knowledge and expertise to build the growth function in a fast-growing product company
• Opportunity to create a visible growth impact with your knowhow and mentorship
• Be a strategic partner to the Head of Marketing (this role is going to be based out of the US).
• Become a digital marketing stalwart by being at the forefront of a rapidly growing rocketship
• Lead a rockstar digital marketing team not only as a professional, but as someone they admire and want to learn from

Hevo is a workplace where you get complete ownership of your goals and your growth. At Hevo, you get an unparalleled environment that welcomes your ideas, thoughts, and opinions. Hevo is a small team with a lot of energy. You’re not just limited to your role, but also get to learn and contribute to cross-functional initiatives across the organization. You get to work with an awesome team that’ll help you learn and grow while delivering resultsLast but not the least, we love having fun outside of work. To know more, head to our Instagram page!To get a glimpse of the team, do visit https://hevodata.com/team/. 

deeply in AI based marketing: creating logos and pics in Midjourney for Campaigns and ads / chat gpt generated contents for Posts, emails, Newsletters

Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. It is a branch of computer science that aims to create smart machines capable of performing tasks that typically require human intelligence. AI technologies include machine learning, where algorithms are trained on data to improve their performance over time, and deep learning, which involves neural networks with many layers (hence the term "deep") to analyze patterns in data.

AI systems can be categorized into two types:

Narrow AI (Weak AI): This type of AI is designed to perform a specific task or a narrow set of tasks. Examples include virtual assistants like Siri and Alexa, as well as recommendation algorithms used by streaming services and online retailers.

General AI (Strong AI): This refers to AI that possesses human-like intelligence and can understand, learn, and apply knowledge across a wide range of tasks. General AI, while a popular topic in science fiction, has not yet been achieved and remains a goal for future AI research.

AI applications are diverse and include areas such as natural language processing (enabling machines to understand and generate human language), computer vision (enabling machines to interpret visual information), robotics, autonomous vehicles, and more. AI has the potential to revolutionize various industries, making processes more efficient and enabling new possibilities in fields like healthcare, finance, and entertainment.

We are looking for a skilled AI developer to create a tool that will categorize and label cases in a data set by cross referencing specific variables with publicly available data. For example, grouping by age at time of death, based on information obtained from obituaries published online. The AI system should be able to gather data from various sources and analyze it to provide actionable insights. The system should have the following features:

- AI-powered property listing checks

- Automated obituary searches

- Data gathering and analysis

- Actionable insights generation

- Dataset stratification

Skills required:

- Artificial Intelligence

- Machine Learning

- Data Analysis

- Web Scraping

- Natural Language Processing

Freelancer Role: ChatGPT-4 Customization Freelancer for Generative Writing

Job Description:

About:

I am seeking a highly skilled and experienced ChatGPT-4 Customization freelancer to help me tailor the AI model to reflect my unique personal brand as a spirituality author and expert within the niche of spiritual enlightenment. I have already been using Chat GPT to help write several articles and books but the more I use it the more I realize that spending some time to train it and create a custom model for my unique brand and writing style would help improve my writing and make it stand out from other users of Chat GPT. The goal is to have ChatGPT-4 generate content (books, short stories, articles, comic series, etc, etc) that aligns seamlessly with my voice, tone, and messaging in the same way that would organically happen if I wrote it manually myself.

Responsibilities:

Customization Strategy: Develop a custom model for fine-tuning ChatGPT to mirror my personal brand and writing style accurately.

Data Collection: I will provide all my original writing as the initial dataset.

Data Preparation: Clean, format, and organize the dataset to ensure consistency and relevance.

Model Fine-Tuning: Utilize machine learning techniques and frameworks to fine-tune ChatGPT-4 using the provided dataset, focusing on capturing my writing style, voice, and content preferences.

Hyperparameter Tuning: Optimize model hyperparameters to ensure the highest quality and accuracy in generating content that aligns with my personal brand.

Evaluation and Validation: Continually assess the customized model's performance by evaluating its responses to various prompts, ensuring that it consistently reflects my writing style and tone.

Regular Updates: Implement a process for periodic model updates and maintenance to adapt to changes in my evolving project needs.

Requirements:

Proven experience in training and fine-tuning language models, preferably with GPT-based models.

Strong expertise in machine learning frameworks like TensorFlow or PyTorch.

Exceptional data preprocessing and cleaning skills.

A deep understanding of natural language processing (NLP) and text generation techniques.

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities to work closely with the client and the project team.

A commitment to maintaining the highest standards of data privacy and security.

Familiarity with chatbot and conversational AI technologies is a plus.

How to Apply:

If you have the skills and expertise please feel free to submit a proposal. I would prefer receiving a fixed fee for the job but I am open to different options based on your experience and preferred style of doing an engagement.

Thanks!

Phillip

About Us:

iHeartDogs.com is a leading online platform dedicated to all things canine. As we continue to expand, we are in search of a dedicated and forward-thinking individual to shape our content strategy using state-of-the-art AI tools and SEO techniques.

Role:

The SEO and AI Content Manager will be responsible for identifying untapped content opportunities, designing AI-driven content prompts, and overseeing a team of content creators to achieve our ambitious goal of producing 100-200 high-quality articles daily.

Key Responsibilities:

SEO Keyword Research: Uncover high potential topics and gaps in our current content, using advanced SEO research techniques.

AI-Prompt Creation: Design and create AI prompts leveraging tools such as ChatGPT, Bard, and Claude to generate engaging and relevant content.

Team Leadership: Provide clear directives to a team of 2-4 content creators, ensuring timely and quality article production.

Content Review & Enhancement: Oversee the final output, making necessary edits and on-page SEO improvements to ensure content quality and optimization.

Delegation and Collaboration: Work closely with the content creation team, providing them with the necessary tools, feedback, and support to produce content at scale.

Reporting: Monitor, evaluate, and report on content performance metrics to senior management.

Desired Skills and Qualifications:

Proficient in advanced SEO keyword research techniques.

Familiarity with AI-driven content tools including ChatGPT, Bard, and Claude.

Strong organizational and delegation skills.

Proven experience in managing content creation teams.

Excellent editing and writing capabilities.

Ability to work in a fast-paced environment and manage multiple projects simultaneously.

What We Offer:

A dynamic work environment with passionate dog lovers.

Competitive salary and growth opportunities.

The chance to make a meaningful impact in the world of pet enthusiasts.

If you’re passionate about merging technology with content and have a soft spot for our furry friends, we’d love to hear from you! Apply today to join our pack at iHeartDogs.com.

I need to utilize Zoho Creator to generate diverse visuals and textual documents for my clients. I'm seeking understanding on its functionality and how to integrate it seamlessly with Zoho One, as I'm uncertain about the correctness of my current setup.

I'm looking to engage an expert in this field to assist promptly and efficiently.

Job Title: Part-Time Coordinator of SMM and Lead Generation

Role overview:

As the Part-Time Coordinator of SMM and Lead Generation at Newo.ai, you will be responsible for driving and optimizing our online presence to generate high-quality leads.

Responsibilities:

Craft compelling lead magnets and content

Execute SMM strategies on Google, Facebook, LinkedIn

Collaborate with AI bloggers for wider reach

Convert traffic into demo requests

Requirements:

Proven SMM and Lead Generation experience

In-depth knowledge of Google Ads, Facebook Ads, LinkedIn

Excellent communication skills

Creative and independent worker

About Newo.ai:

Founded by a serial entrepreneur David Yang (13 companies including ABBYY.com) Newo.ai, a company based in Silicon Valley, California, is the creator of the drag-n-drop builder of the Non-Human Workers, Digital Employees, Intelligent Agents, AI-assistants, AI-chatbots. The Newo.ai platform enables the development of conversational AI Assistants and Intelligent Agents, based on LLMs with emotional and conscious behavior, without the need for programming skills.

Unlike ChatGPT, Newo Intelligent Agents can be easily connected to the corporate ERPs, CRMs and knowledge bases, ensuring that they act according your corporate guidelines while selling and supporting your clients.

1.Introduction: We are seeking proposals from qualified vendors to integrate artificial intelligence (AI) capabilities into our client's existing meal plan app. Our client currently offers personalized, one-time meal plans to individual users and aims to leverage AI to scale their services and cater to multiple clients. The objective of this RFP is to find a vendor who can develop an AI solution that utilizes the client's unique ideas and information to deliver optimal meal plans. The app operates in the Portuguese language.

2.Background: Our client is a well-established provider of personalized meal plans. They have a dedicated team that crafts individual meal plans based on users' preferences, dietary requirements, and health goals. The existing app allows users to receive a one-time meal plan tailored specifically to their needs. However, to meet the growing demand for their services and serve a wider audience, our client intends to integrate AI into their app. The AI system should be capable of learning from the client's expertise, incorporating their ideas and information, and generating personalized meal plans on a scalable basis.

3.Objectives: The primary objectives of this project are as follows: a. Develop an AI solution that integrates seamlessly with the existing meal plan app. b. Create a scalable platform capable of generating personalized meal plans for multiple clients. c. Leverage the client's unique ideas, expertise, and information to train the AI system and improve its performance. d. Ensure the AI system delivers optimized meal plans that consider users' preferences, dietary requirements, and health goals. e. Provide support for the Portuguese language to cater to the app's existing user base.

4.Scope of Work: The selected vendor will be responsible for the following: a. Analyzing the existing meal plan app and its infrastructure. b. Designing and developing an AI integration framework that aligns with the client's requirements. c. Incorporating the client's ideas, expertise, and information into the AI system. d. Training the AI model using the client's dataset to enhance its understanding and decision-making capabilities. e. Implementing a scalable architecture that can handle multiple clients and ensure optimal performance. f. Integrating the AI system with the existing app, ensuring seamless functionality. g. Testing the AI integration thoroughly to identify and resolve any issues or bugs. h. Providing ongoing support and maintenance for the integrated AI system.

5.Timeline: The project is expected to follow the following timeline: Proposal Submission Deadline: No Deadline

6.The proposal should include the following: a. Vendor's understanding of the project objectives and requirements. b. Proposed approach and methodology for integrating AI into the existing app. c. Detailed timeline with key milestones and deliverables. d. Technical expertise and experience in developing AI solutions. e. Team composition, including relevant qualifications and experience. f. Pricing structure and any associated costs. g. References from previous clients and projects.

7.Evaluation Criteria: The proposals will be evaluated based on the following criteria: a. Demonstrated understanding of the project objectives and requirements. b. Technical expertise and experience in developing AI solutions. c. Proposed approach and methodology for integrating AI into the app. d. Ability to incorporate the client's ideas, expertise, and information effectively. e. Track record of delivering similar projects successfully. f. Competitive pricing and cost-effectiveness. g. Availability of ongoing support and maintenance.

We look forward to receiving your proposal and partnering with a vendor who can help us scale our meal plan services using AI. Should you have any questions or require further clarifications, please contact info@cielo.agency.

Cielo Agency LLC www.cielo.agency info@cielo.agency 305 874 7814

🌐 Job Opportunity: AI Programmer 🌐

Join our innovative team and shape the future! We're seeking a talented AI programmer passionate about leveraging cutting-edge technology and videography to create lasting impacts on lives for generations to come. Bring your expertise to the table and be part of a journey that transcends boundaries. Apply now to be a pioneer in the intersection of AI and videography! 🚀 #TechForGenerations #AIProgrammer #Innovation

Please quote recreating this type of tool that will be used to conduct prior art searches for patents, patent publications, and scholarly research by using advanced technologies such as as NLP, AI, ML, etc.

I have need to have a working MVP online as soon as possible that at minimum can operate like this example below, however, a strong performance will undoubtedly lead to very good, steady consistent work as we work together to push the limits of the latest technologies to scale this type of platforms features tremendously.

I will give expert the license to utilize whatever technical resources they feel will suit their skill set and expertise for the best. The demo program to look at to the quote the minimum technical requirement to complete the MVP can be found at quoting to recreate this tool here: projectpg.ai.

Detailed project description for recreating an advanced prior art search tool using NLP, AI, and ML technologies:

Project Background

The goal of this project is to develop an advanced software tool for conducting prior art searches for patents, patent publications, and scholarly research. The tool should leverage cutting-edge natural language processing (NLP), artificial intelligence (AI), and machine learning (ML) technologies to analyze documents, extract key technical elements, and deliver highly relevant results.

Required Features

User-friendly interface for entering search queries as natural language questions

Semantic search capabilities using NLP to understand query intent and map to relevant key terms

AI/ML models to analyze patent claims, abstracts, descriptions to extract important technical details

Matching algorithms to compare search queries with documents and identify novelty, overlaps

Databases indexed with millions of granted patents, patent applications, academic papers

Flexible search options: keywords, classifications, inventors, assignees, dates

Relevance ranking of results based on semantic similarity to search query

Query refinement suggestions to help users iterate and improve searches

Customizable result filters like date range, jurisdiction, technology area

Save search queries and share links to results

User account management, search history, favorites

Advanced Capabilities

Continuously improve AI models through active machine learning

Summarize long documents to quickly determine relevance

Natural language generation to describe differences between prior art

Citations analysis to find related documents

Identify patentability issues like obviousness, enablement

Data visualizations for comparing corpus of results

Technical Implementation

Modern web framework like React for responsive UI

Python/Flask backend with REST API endpoints

Docker deployment for portability and scaling

Cloud database like PostgreSQL for storage

ElasticSearch for indexing documents and fast keyword search

SpaCy and Transformers for NLP operations

PyTorch, TensorFlow for ML models

CI/CD pipeline for testing and continuous deployment

Development Approach

Agile methodology with sprints and iterative development

Focus on MVP first then build in advanced features

Collaboration on design specs, UI/UX, and APIs

Code reviews and unit testing to ensure quality

Onboarding for ramp-up on technologies and overall architecture

Documentation of all components, modelling experiments

This project requires expertise in search technology, data science, and scalable cloud systems.

The end product should provide patent professionals an efficient way to conduct comprehensive prior art searches using the latest techniques in semantic search and artificial intelligence. There is great opportunity to push boundaries and build an exceptionally intelligent platform.

I want to leverage AI tools to review an export of my CRM (8k names), generate links of the LinkedIn profiles of these people, identify their location city, their current job, and search for relevance along certain parameters (industry, keywords, number of connections in a given industry)

We are seeking an experienced ML developer who can create an AI chatbot model that allows users to perform all our app functions, including adding, modifying, or removing items from a list, checking statuses, etc. The model should be capable of generating responses based on data from our database.

Please note that we are only seeking an AI model developer and not a chatbot frontend developer.

Thank you.

We’re seeking people with proficiency in a Programming/ Coding language, good writing skills and an interest in Artificial Intelligence (AI).

After a simple qualification process, you’ll be providing the model with vital data to generate accurate and contextually fitting responses for Programming/ Coding-related topics. As a member of our community, you can then choose to contribute on a variety of projects as they become available.

The current project opening requires 10-15 hours of work, more if available.

Your role:

Your main responsibility will be to create, evaluate, and refine pairs of prompts and responses for a sophisticated LLM. You’ll need to effectively communicate your understanding of Programming/ Coding topics to rank and craft realistic and nuanced AI prompts (what you might ask an AI model) and responses (what you want the AI model to answer). You will be provided access to training materials and calibration exercises to learn what a good answer is like.

What you need:

· Must be eligible to work in United States or India

· US English language speaker with good writing and proofreading skills

· Good knowledge of Programming/ Coding and the ability to craft original responses

· Excellent attention to detail

This opportunity will suit:

- People seeking a gig-based opportunity to earn additional income while gaining hands-on experience in AI:

- Subject matter experts, researchers and academics who want to learn and contribute to AI development

- Students currently studying a Programming/ Coding focused degree

- Teachers & tutors with hands-on experience teaching Programming/ Coding subjects

- Lifelong learners interested in exploring opportunities in AI

Easy to apply:

1. Register [5 minutes]: Apply and complete an application form.

2. Guidelines Quiz [15 minutes]: Take the Guidelines Quiz - a link will be sent to you by email once you submit your application.

3. Calibration task [60 minutes]: If you pass the Guidelines Quiz, you’ll immediately receive an email with a link to a paid calibration task related to your Programming/ Coding expertise. Calibration task will also be paid.

4. Start working: With a successful calibration, you’ll receive an email with a link to join the project as an AI Model Trainer for Programming/ Coding subjects and can start working immediately.

We’re seeking people with proficiency in a Programming/ Coding language, good writing skills and an interest in Artificial Intelligence (AI).

After a simple qualification process, you’ll be providing the model with vital data to generate accurate and contextually fitting responses for Programming/ Coding-related topics. As a member of our community, you can then choose to contribute on a variety of projects as they become available.

The current project opening requires 10-15 hours of work, more if available.

Your role:

Your main responsibility will be to create, evaluate, and refine pairs of prompts and responses for a sophisticated LLM. You’ll need to effectively communicate your understanding of Programming/ Coding topics to rank and craft realistic and nuanced AI prompts (what you might ask an AI model) and responses (what you want the AI model to answer). You will be provided access to training materials and calibration exercises to learn what a good answer is like.

What you need:

· Must be eligible to work in United States or India

· US English language speaker with good writing and proofreading skills

· Good knowledge of Programming/ Coding and the ability to craft original responses

· Excellent attention to detail

This opportunity will suit:

- People seeking a gig-based opportunity to earn additional income while gaining hands-on experience in AI:

- Subject matter experts, researchers and academics who want to learn and contribute to AI development

- Students currently studying a Programming/ Coding focused degree

- Teachers & tutors with hands-on experience teaching Programming/ Coding subjects

- Lifelong learners interested in exploring opportunities in AI

Easy to apply:

1. Register [5 minutes]: Apply and complete an application form.

2. Guidelines Quiz [15 minutes]: Take the Guidelines Quiz - a link will be sent to you by email once you submit your application.

3. Calibration task [60 minutes]: If you pass the Guidelines Quiz, you’ll immediately receive an email with a link to a paid calibration task related to your Programming/ Coding expertise. Calibration task will also be paid.

4. Start working: With a successful calibration, you’ll receive an email with a link to join the project as an AI Model Trainer for Programming/ Coding subjects and can start working immediately.

OpenAI is developing a research program to assess the economic impacts of code generation models and is inviting collaboration with external researchers. Rapid advances in the capabilities of large language models (LLMs) trained on code have made it increasingly important to study their economic impacts on individuals, firms, and society. Codex – an LLM developed by OpenAI by fine-tuning GPT-3 on billions of lines of publicly available code from GitHub – has been shown to generate functionally correct code 28.8% of the time on a sample of evaluation problems (Chen et al. 2021). This may have important implications for the future of coding and the economics of the industries that depend on it. In this document, we lay out a research agenda to assess the effects of Codex on economic factors of interest to policymakers, firms, and the public. We make a case for this research agenda by highlighting the potentially broad applicability of code generation models to software development, the potential for other LLMs to create significant social and economic impact as model capabilities advance, and the value of using Codex to generate evidence and establish methodologies that may be applicable to research on the economic impacts of future models. We propose that academic and policy research focus on studying code generation models and other LLMs so that evidence on their economic impacts can be used to inform decision-making in three key areas: Deployment policy, AI system design, and public policy. To help guide this research, we outline six priority outcome areas within the realm of economic impacts that we intend to use Codex to study: Productivity, Employment, Skill Development, Inter-firm Competition, Consumer Prices, and Economic Inequality. For each area, we briefly discuss previous literature on the impacts of artificial intelligence on each of these outcomes, describe questions that we believe to be key inputs to the three decision-making areas mentioned above, and provide examples of research that could be conducted with Codex. To catalyze work that builds off of this initial research agenda, we are announcing a Call for Expressions of Interest from external researchers to collaborate with OpenAI researchers and customers to better measure the economic impacts of code generation models and other LLMs

Relyance AI (https://relyance.ai) is at the forefront of reshaping the data protection paradigm. With a foundation built on the belief that data protection and digital trust are paramount, Relyance AI harnesses the power of artificial intelligence and machine learning to offer proactive data protection solutions. Their innovative platform demystifies the complexities of privacy laws, data governance, and compliance operations, making them a vanguard in the realm of internet trust and governance infrastructure. Their mission is to revolutionize data protection and establish new standards for digital trust across the globe. Relyance AI is in search of a skilled SEO Marketer to address their pressing need for lead generation and to enhance their online search presence. The ideal candidate will be tasked with in-depth keyword research, competitor research, on-page content optimization, technical optimization, and other tactics to improve the search results rankings as well as improving relevance scores. Measurable success will be seen through better search rankings for targeted keywords and a surge in inbound leads. This role requires immediate action, with a focus on rapid strategy development and execution.​

We are advancing AI to power the future of medicine.

At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.

Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics. 

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

>> Unlearners are ambitious; we aren’t intimidated by big, challenging goals. 

>> Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. 

>> Unlearners are gritty; we never give up, setbacks just make us try harder.

>> Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo. 

>> Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring.  And, last but not least,

>> Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.

If our purpose and culture resonate with you, we invite you to apply.

Job Summary:

Don’t see a specific job that matches your qualifications? While all of our active openings are listed, feel free to apply here and detail the type of job you are looking for.

Please include your resume and a short write-up that explains why your skillset and experience would be an asset to Unlearn. We'll be opening several new roles soon and searching for great talent. You're encouraged to apply even if your experience doesn't precisely match the job description. We’re expecting your skills and passion to stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. Please join us!

Benefits & Perks

We offer a suite of benefits and perks for our team members, including:

• Company-paid medical, dental, & vision insurance

• 401k plan with generous company matching

• Flexible time off and an annual winter break (December 24 - January 1)

• Professional development budget to attend conferences or other events

• One-time home-office set up stipend

• Commuter benefits to help you get to our offices easily

• Paid Parental Leave

• Equity education and tax advisory services

Unlearn is an equal opportunity employer. 

At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

We are advancing AI to power the future of medicine.

At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.

Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics. 

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

>> Unlearners are ambitious; we aren’t intimidated by big, challenging goals. 

>> Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. 

>> Unlearners are gritty; we never give up, setbacks just make us try harder.

>> Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo. 

>> Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring.  And, last but not least,

>> Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.

If our purpose and culture resonate with you, we invite you to apply.

About the Role

Our business development team helps pharma and biotech customers understand the deep impact that AI-powered clinical trials that reach full enrollment faster can bring to their business. This role requires a mixture of clinical and business expertise to analyze and interpret clinical trial data to help our team understand customer needs and preferences. As the internal clinical expert for the business development team, you’ll own the analysis of the clinical landscape and will provide key data to the business development team to more efficiently drive sales. The ideal candidate will have a background in clinical research and have a passion for distilling complex clinical analyses to non-clinical team members to help them exceed commercial goals.

This role is based either in our HQ in San Francisco, CA or in Boston, MA.

Responsibilities

• Analyze and interpret clinical trial data to identify trends and insights that can inform business development efforts
• Develop and maintain a deep understanding of clinical trial design and the pharmaceutical and biotechnology industries
• Collaborate with cross-functional teams to ensure that customer needs and preferences are accurately represented in business development activities
• Prepare and present reports and presentations that communicate key findings and insights to internal and external stakeholders
• Support the development of marketing and sales materials, including case studies, white papers, and presentations
• Stay up-to-date on industry trends, emerging technologies, and regulatory changes that impact clinical trial design and execution

• Bachelor's or Master's degree in a scientific or technical field
• 3+ years of experience working in the pharmaceutical or biotechnology industry in a clinical research capacity
• Strong analytical skills and experience analyzing and interpreting clinical trial data
• Excellent communication skills, both written and verbal, with the ability to clearly and concisely communicate complex information to internal and external stakeholders
• Ability to work independently and collaboratively in a fast-paced environment
• Familiarity with FDA regulations and guidelines related to clinical trial design and execution
• Ability to be in the office at least 2 days per week

• Are gritty and excited by new challenges. You embrace challenges with enthusiasm and are willing to use iterative experimentation to guide data-driven decision making and overcome challenges.
• Are a problem solver even when a solution is unclear. You are happy to take on problems with unclear solutions and plan and execute to gather data that allows you to solve that problem. 
• Are a people-person. You are energized by interacting with people and are an expert at building deep cooperative relationships. 
• Believe in Mission > Company > Team > Self. You believe that achieving Unlearn’s mission is the north star and you are willing to adapt within your role and within the different teams you work in to help the company achieve that mission.  
• Have a passion or deep curiosity about artificial intelligence and the positive impact technology can have on society.

Benefits & Perks

We offer a suite of benefits and perks for our team members, including:

• Company-paid medical, dental, & vision insurance

• 401k plan with generous company matching

• Flexible time off and an annual winter break (December 24 - January 1)

• Professional development budget to attend conferences or other events

• One-time home-office set up stipend

• Commuter benefits to help you get to our offices easily

• Paid Parental Leave

• Equity education and tax advisory services

Unlearn is an equal opportunity employer. 

At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

We are advancing AI to power the future of medicine.

At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.

Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics. 

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

>> Unlearners are ambitious; we aren’t intimidated by big, challenging goals. 

>> Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. 

>> Unlearners are gritty; we never give up, setbacks just make us try harder.

>> Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo. 

>> Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring.  And, last but not least,

>> Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.

If our purpose and culture resonate with you, we invite you to apply.

About the Role

Our business development team helps pharma and biotech customers understand the deep impact that AI-powered clinical trials, that reach full enrollment faster, can bring to their business. This role requires having a deep technical understanding of our products and solutions to help drive sales. In this role, you will collaborate with Account Executives to sell the technical capabilities of AI-powered clinical trials and explain how our technology will help customers accelerate their time to patients, and time to market. Internally you’ll work with machine learning scientists, data scientists, engineers, and clinical researchers to help customers evolve their industry with AI. The ideal candidate will have deep technical expertise in machine learning and data science and have a passion for explaining technical concepts to informed and lay audiences. 

This role is based either in our HQ in San Francisco, CA or in Boston, MA and requires travel.

Responsibilities

• Partner with the business development team to provide technical support during the business development process, including conducting product demos and  presentations to help close deals.
• Understand our customers' needs and articulate how our AI technology can help them achieve their clinical trial objectives faster and with fewer participants.
• Develop and maintain in-depth knowledge of our technology, features, benefits, and competitive landscape, as well as the clinical trial industry trends and challenges.
• Build and maintain strong relationships with our clients' technical and business stakeholders, such as clinical development leaders, data scientists, biostatisticians, and clinical trial managers.
• Work closely with our technology and science teams to help prioritize and communicate customer feedback and requirements, and ensure timely and effective resolution of technical issues.
• Collaborate with our marketing and alliance management teams to develop and deliver effective technical content, such as whitepapers, case studies, and webinars, to support the sales process and customer engagement.

• Bachelor's degree in machine learning, data science, computer science, engineering, or a related field, or equivalent experience.  Advanced degree preferred.
• 5+ years of experience in a technical sales or sales engineering role, preferably in the AI or machine learning industries. 
• Strong interpersonal and communication skills, with the ability to build rapport and credibility with technical and business stakeholders.
• A deep understanding of the clinical trial industry and its challenges, including regulatory requirements, data privacy, and patient recruitment.
• Ability to be in the office at least 2 days per week.

• Are gritty and excited by new challenges. You embrace challenges with enthusiasm and are willing to use iterative experimentation to guide data-driven decision making and overcome challenges.
• Are a problem solver even when a solution is unclear. You are happy to take on problems with unclear solutions and plan and execute to gather data that allows you to solve that problem. 
• Are a people-person. You are energized by interacting with people and are an expert at building deep cooperative relationships. 
• Believe in Mission > Company > Team > Self. You believe that achieving Unlearn’s mission is the north star and you are willing to adapt within your role and within the different teams you work in to help the company achieve that mission.  
• Have a passion or deep curiosity about artificial intelligence and the positive impact technology can have on society.

Benefits & Perks

We offer a suite of benefits and perks for our team members, including:

• Company-paid medical, dental, & vision insurance

• 401k plan with generous company matching

• Flexible time off and an annual winter break (December 24 - January 1)

• Professional development budget to attend conferences or other events

• One-time home-office set up stipend

• Commuter benefits to help you get to our offices easily

• Paid Parental Leave

• Equity education and tax advisory services

Unlearn is an equal opportunity employer. 

At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

We are advancing AI to power the future of medicine.

At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.

Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics. 

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

>> Unlearners are ambitious; we aren’t intimidated by big, challenging goals. 

>> Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. 

>> Unlearners are gritty; we never give up, setbacks just make us try harder.

>> Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo. 

>> Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring.  And, last but not least,

>> Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.

If our purpose and culture resonate with you, we invite you to apply.

About the Role

We are looking for an experienced product leader who wants to help build a new, computationally-focused approach to solving important problems in healthcare. The Principal Product Manager will have a broad knowledge base and the ability to converse and collaborate with different types of teams including technology, marketing, and business development, as well as the ability to develop a deep understanding of the problems our customers and users at biopharma companies encounter while running clinical trials. The ideal candidate must also have demonstrated experience with the techniques and methods of modern product discovery and product delivery. 

Reporting to the CEO, this role will be a highly experienced individual contributor with future opportunity to become a people manager. 

This is a hybrid role based in our SF office - you will be expected to be in office 2 days per week, and we do week-long company on-sites in SF every quarter.

Responsibilities

• You'll be responsible for executing the product strategy, monitoring and communicating progress, and defining functional requirements for new product experiences and features
• Perform quantitative and qualitative research to identify product opportunities and prioritize features
• Partner with engineering, UXR, design, and analytics teams to define, build, and iterate on new user experiences
• Developing hypotheses for customer and uses cases, and rapidly iterating through hypotheses to find product market fit for various use cases quickly
• Responsible for assisting with quarterly planning and assigning objectives (problems to solve) to product teams.

• At least 5 years experience as a product manager in a technology company working on technology-powered products as either a product manager, product designer, engineer, data analyst, data scientist, or user researcher 
• Bachelor’s degree or equivalent practical experience
• Demonstrated ability to ship high-impact products quickly, not just small features
• Experience and track record of success in building high-availability services or platforms
• Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgment to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative.
• Demonstrated ability to learn multiple functional areas of business – engineering, design, finance, sales, and marketing.
• Strong collaboration in team environments but able to act quickly as the decision-maker
• Technical understanding must go from the highest abstractions down to the metal
• You find a way to get the data you need and whip it into an insightful story with no help
• An owner’s mindset - you don’t shy away from the hard stuff
• Passion for our mission

Benefits & Perks

We offer a suite of benefits and perks for our team members, including:

• Company-paid medical, dental, & vision insurance

• 401k plan with generous company matching

• Flexible time off and an annual winter break (December 24 - January 1)

• Professional development budget to attend conferences or other events

• One-time home-office set up stipend

• Commuter benefits to help you get to our offices easily

• Paid Parental Leave

• Equity education and tax advisory services

Unlearn is an equal opportunity employer. 

At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.