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AI Fund - Associate Palo Alto, CA
AI Fund - Principal Palo Alto, CA
AI Fund - Senior Recruiter Palo Alto, CA
Bearing - Senior Full Stack Engineer Medellín, Antioquia
Chief Executive Officer Palo Alto, CA
What You Will be Doing:
- The CEO will be in charge of launching the product and ensuring that the portfolio company is hitting its milestones towards its next funding.
- Working in concert with General Partner to deliver on critical milestones
- Recruiting key members of the operational team
- Mapping out direction of the road map and determining product requirements
- Securing and negotiating strategic partnerships
- Ensuring customer satisfaction with early, key customers so that they are referenceable.
- Scaling the business, especially with regards to sales and marketing
- Responsible overall success of the product and business
What You Must Bring:
- Strong experience in developing SaaS products and/or building communities.
- Experience in the marketing tools or sales enablement markets.
- Previous leadership and management experience.
- The ability to think strategically and the foresight to think about problems ahead of time.
- Experience with doing customer outreach, understanding market needs, and driving towards product market fit.
- Experience fundraising.
- Nice to Have previous startup or other small/scrappy team experience.
Is Nice if you Have:
- MBA from top university preferred.
- Technical background, preferably with experience working in artificial intelligence.
Characteristics that We Value:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and is proactively able to get things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership Orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
Data Engineer Medellín, Antioquia
Factored - Machine Learning Engineers Training Program Medellin
Who should apply to the training program:
- Bachelor's degree in Computer Science, applied Mathematics, Data Science, Economics or other engineering fields.
- Proven passion for AI/ML/DL/Data Science, reflected in any of the following: work experience, personal projects, theses, articles, publications, conferences and other ML related projects.
- Strong Math, Calculus, Linear Algebra and Statistics foundations.
- Strong problem solvers and quick learners.
- Msc or Higher is a plus.
- 2+ years of working experience (DS, SW Engineering, Data Analytics, Researching).
- Outstanding communication skills in English.
- Proficiency in any programming language. Python is a plus.
When does the training program start:
- It starts in February 2021 and runs for approximately 3 months.
- Remote training program.
How much does the training program cost?
- Factored does not charge upfront and we pay a monthly stipend for our scholars. By joining the training program, you agree to sign a loan agreement of the value equivalent to our training investment. The loan will be subject to 3 annual installments. Every year, we will waive the repayment if you remain employed by Factored
What is the admission process?
- Candidates need to complete online application by Jan. 17th.
- Candidates who pass resume screen will receive an online technical test within 2 business days, and will have 5 days to complete it.
- Qualified candidates will receive instructions for video interviews.
Factored- Data Engineer Medellín, Antioquia
What You Will Be Doing:
- Create and maintain optimal data pipeline architecture across multiple data sources, including licensed and scraped data.
- Assemble large, complex data sets that meet functional needs of AI/ML engineers and front-end engineers.
- Design and develop optimal data processing techniques: automating manual processes, data delivery, data validation and data augmentation.
- Develop any necessary ETL processes to optimize analysis and performance.
- Manage analytics tools that provide actionable insights into usage, customer acquisition, operational efficiency and other key business performance metrics.
- Design and develop a RESTful API to enable programmatic integration to other SaaS systems.
- Architect and implement new features from scratch, partnering with our AI/ML engineers to identify data sources, gaps and dependencies.
- Identify bugs and performance issues across the stack, including performance monitoring and testing tools to ensure data integrity and quality user experience.
- Build a highly scalable infrastructure using SQL and AWS big data technologies.
- Keep our data secure and compliant with international data handling rules.
What You Must Bring:
- 3+ Professional experience shipping high-quality, production-ready code.
- Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, algorithms, object-oriented programming.
- Experience in Python.
- Experience in setting up data pipelines using relational SQL and NoSQL databases, including Postgres, Cassandra and MongoDB.
- Experience with AWS cloud services, including S3, EC2, EMR, RDS, Redshift.
- Proven success manipulating, processing and extracting value from large heterogeneous datasets.
- Strong analytic skills related to working with unstructured datasets.
- Experience with extracting and ingesting data from websites using web crawling tools.
- Experience with big data tools, including Hadoop, Spark, Kafka, etc.
- Experience developing scalable RESTful APIs.
- Expertise with version control systems, such as Git.
- Excellent english communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.
- Self-starter and comfort working in an early-stage environment.
- Strong project management and organizational skills.
Nice To Have
- BSc in Computer Science, Mathematics or similar field; Master’s or PhD degree is a plus.
- Experience with design of ETLs using Apache Airflow.
- Experience with extracting and ingesting data from Google Analytics or Twitter.
- Understanding of AI/ML models.
- Proficiency in HTML, CSS and JavaScript.
- Experience with consumer applications and data handling.
- Familiarity with data privacy regulations and best practices.
- Advanced degree (Master’s or PhD) in computer science.
Characteristics:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit. able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
Factored- Senior Software Engineer Medellín, Antioquia
What you will be doing:
- Working with Machine Learning Engineers and several clients to develop and maintain backend applications and handle 3rd party API backend integrations.
- Designing and coding highly-scalable machine learning models and the backend applications to deliver them to the final user.
- Make architectural contributions and decisions to improve the reliability of and maintainability of the clients codebase.
- Design and implement internal tools to improve and accelerate the ML Lifecycle process.
- Following agile processes with a focus on delivering production-ready testable code in small iterations.
What You Must Bring:
- 5+ years professional experience shipping production-ready code.
- Strong computer science foundations, including data structures & algorithms, OS, Computer Networks, databases.
- Experience building backend/REST/SW applications using any of these languages: Python (DJango, Flask), JavaScript(NodeJS), Java , Ruby on Rails or C/C++.
- Experience with Relational or Non relational Database Engines such as PostgreSQL, SQLite , MongoDB.
- Expertise with version control systems, such as Git.
- Excellent english communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.
- Knowledge of Unix/Linux systems.
- Experience/Exposure with Amazon AWS and containerization technologies.
- Experience with Agile development .
- Self-starter and comfort working in an early-stage environment.
- Proven track record of collaboration with a variety of decision-makers to drive impact.
Nice to Haves:
- Experience shipping Machine Learning products.
- Experience/Familiarity with single page applications (React, Angular or Vue).
- Experience working with startups from an early stage.
- Experience with ETL pipelines and technologies, such as: Apache Airflow and similar.
- Proficiency in HTML, CSS and JavaScript.
- Basic understanding of Machine Learning models.
- Demonstrated knowledge of distributed computing frameworks such as Apache Spark.
- Demonstrated experience with distributed database systems.
- BSc in Computer Science, Mathematics or similar field; Master’s or PhD degree is a plus.
Characteristics:
- Passion for AI/ML applications: we are excited to make an impact by bringing AI use in industry to the next level, and we hope you share our passion.
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit. able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
Founder-in-Residence California
What You Will be Doing:
- Determine the launch product. The technology we have developed addresses multiple potential use cases. You will be responsible for evaluating these ideas or developing additional ideas yourself, and selecting a specific product direction to go to market.
- Build initial prototype and carry out validation. Working potentially with internal engineers and AI talents as well as design contractors, you will be responsible for developing an initial design of the product and collecting user feedback to validate the core business thesis.
- Build business case. Including initial financial models, TAM/SAM/SOM analysis, estimate of margin, competitive analysis, etc. As part of this, we expect you to validate (or falsify) user demand and willingness to pay, and also develop the initial GTM.
- Develop a request for funding as a final milestone during the 3 months FIR consulting engagement. At the conclusion of this 3 month plan, you and AI Fund will jointly make a decision on whether to fund and proceed with this as a business.
What You Must Bring:
- Marketing experience.
- Business or Product leadership background.
- Startup experience, building companies from 0 to 1.
- Previous experience leading fundraising from institutional investors is a huge plus
- Previous founder, co-founder or startup CEO experience.
- Enterprise B2B sales experience.
Characteristics:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit. able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
FourthBrain - Machine Learning Instructor United States
What You Will Be Doing:
- Deliver live class session(s) for a total of 5-6 hours each week. These sessions will be on the weekends or evenings (schedule is variable by cohort, but consistent throughout the entire program)
- Manage the digital classroom, including releasing curriculum materials and assignments on a weekly basis
- Evaluate and grade assignments
- Provide regular guidance and feedback on capstone projects
- Hold office hours (60-90 mins) a week, which could be on evenings and weekends, to assist students with their weekly work
- Collect feedback from students and industry experts to continuously iterate on learning modules
- Partner with Curriculum Director on updates and modifications to curriculum and projects
- Partner with Career Education to identify key areas of development
What You Must Bring:
- Technical background in machine learning, math and programming
- Expert level proficiency in using Machine learning packages for Python; experience with Tensorflow
- Experience with instructional design best practices as well as experience designing and teaching technical courses
- Excellent written and verbal communication skills
- Bachelors in STEM / AI / CS, or equivalent industry experience in areas like software development, machine learning or data science.
It's Nice if You Have:
- Masters in AI, CS or related field
- Previous experience as an instructor or lecturer in the areas of AI, machine learning, data science, robotics or similar
- Professional experience in AI or ML roles
- Interest in student engagement, motivation, and teaching
Characteristics:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit. able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
FourthBrain - Teaching Assistant, Machine Learning Palo Alto, CA
What You Will be Doing:
- Create quizzes, weekly assignments for core machine learning concepts.
- Evaluate and grade quizzes and projects
- Hold office hours (60-90 mins) a week, which could be on evenings and weekends to assist students with their weekly work.
- Troubleshoot with students on their projects and help debug.
- Collect feedback from students and industry experts to continuously iterate on learning modules
- Manage data to drive decisions. Track & implement necessary adjustments to the program
- Act as the escalation point for students when they have concerns & suggestions and serve as a mediator
- Advocate for students with empathy. Possess excellent written and verbal communication skills.
- Deliver instruction to test curriculum for early cohorts
What You Must Bring:
- Technical background in math and programming to develop machine learning assessments and curriculum.
- Experience with instructional design best practices as well as experience designing and teaching technical courses.
- Capability to digest github codebases and create assignment projects from them.
- Bachelors in STEM / AI / CS or equivalent industry experience in areas like software development, machine learning or data science.
It's Nice If You Have:
- Professional experience in project deployment life cycles OR academic experience with a capstone project with focus on deployment.
- Previous experience as an instructor or TA in the areas of AI, machine learning, data science, robotics or similar.
- Previous experience in building grading rubrics or in grading programming assignments.
- Interest in student motivation in online or flipped classroom formats.
Characteristics:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit. able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
Full Stack Engineer Global
Stepwise - Founder-In-Residence Palo Alto, CA
What You Will be Doing:
- The FIR will be in charge of launching the product and ensuring that the portfolio company is hitting its milestones towards its next funding.
- Working in concert with General Partner to deliver on critical milestones
- Recruiting key members of the operational team
- Mapping out direction of the road map and determining product requirements
- Securing and negotiating strategic partnerships
- Ensuring customer satisfaction with early, key customers so that they are referenceable.
- Scaling the business, especially with regards to sales and marketing
- Responsible overall success of the product and business
- Although it is not required, we are interested in candidates that can scale to be the CEO. Under this role, you will additionally be responsible for building the company, recruiting great people, and raising capital.
What You Must Bring:
- Strong experience in developing SaaS products and/or building communities.
- Experience in the marketing tools or sales enablement markets.
- Previous leadership and management experience.
- The ability to think strategically and the foresight to think about problems ahead of time.
- Experience with doing customer outreach, understanding market needs, and driving towards product market fit.
- Experience fundraising.
- Nice to Have previous startup or other small/scrappy team experience.
- MBA from top university preferred.
- Technical background, preferably with experience working in artificial intelligence.
Characteristics that We Value:
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- Scrappy: Takes initiative and proactively able to get things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
Zest - Software Engineer Medellín, Antioquia
What You Must Bring:
- 3-5 years professional experience shipping production-ready code
- Strong computer science foundations, including data structures & algorithms, data pipelines, and databases
- Proficiency in HTML, CSS, and JavaScript
- Proficiency in Python, ReactJS, and React Native a plus
- Knowledge of Unix/Linux systemsExperience developing RESTful APIs
- Experience with Amazon AWS and containerization technologies
- Expertise with version control systems, such as Git
- Experienced with Wagtail Django content management system
- Basic understanding of Machine Learning models is a plus
- Excellent English language and cross-functional communication skills
- BSc in Computer Science, Mathematics, or similar field; Master’s or PhD degree is a plus
- Self-starter and comfort working in an early-stage environment
What We Have to Offer:
- Undefined term, full time contract with all law benefits.
- Food & Commuter benefits
- A week off between Christmas and New Year’s
- Medical Insurance coverage through SURA for you and family members.
- Monthly education budget
- Collegial atmosphere
- Direct and transparent communication style
- Innovative environment
- Work with global AI Leaders
- Be part of a great cause to improve lives everywhere through artificial intelligence