Machine Learning Engineer AIF

Landing in Medellin

Who we are:
AI Fund is an early stage venture firm founded by Dr. Andrew Ng in 2017, one of the most recognizable names in AI. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, investors and operators to support our portfolio of companies utilizing AI to move humanity forward. We are backed by a $176 million-dollar fund from top-tier VC firms including Sequoia, Greylock and NEA.

What You Will be Doing:
We are currently looking for an exceptionally talented Machine Learning Engineer to join our technical team. You will be responsible for end-to-end ownership of scalable Machine Learning systems — from data pipelines, to training, to analyzing performance in a production environment. You’ll be joining a team that leads from PoCs to initial production pipelines in multiple early-stage startups.  You’ll need to be able to wear multiple hats and thrive while working in a dynamic environment. You’ll need to keep up with the state-of-the-art and to be able to understand and quickly implement published research.

This is a full time position to be based in Colombia.
At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
    • Validate technical hypotheses and lead PoCs. Starting from business problems and pain points, you will translate them into machine learning problems and propose PoCs to quickly validate technical hypotheses.  You must be able to identify which machine learning models are best suited for each problem and to quickly implement them.
    • Design and train new production-ready machine learning models. You will lead the development of new machine learning models focused on converting a wide variety of data sets and use-cases into actionable insights. You will apply fundamental machine learning concepts to quickly iterate and debug model related issues and develop new techniques to handle unique cases with each customer.
    • Collect, process and analyze data. A big part of our machine learning projects is understanding and analyzing the data. You must build pipelines and processes for cleaning and organizing data as well as build tools to help analyze data. You must also understand what types of data models are struggling with and use this analysis to propose solutions.
    • Maintain knowledge of the latest research in the area of ML/DL. You will also be responsible for keeping up with the latest published research and, from time to time, replicating research results as a means of further solidifying your understanding of this research, especially as it benefits the start-up companies with which we are working.
    • 3+ years professional experience designing, training and deploying machine learning models
    • Strong computer science foundation including data structures, algorithms and design patterns
    • Research experience in machine learning or artificial intelligence related field
    • Expertise in Python demonstrated by implementing multiple medium to large scale projects
    • Proven ability to implement and debug machine learning models
    • Excellent communication skills and the ability to have in-depth technical discussions with both the engineering team and business people Excellent English language skills
    • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
    • Experience in setting up data pipelinesExperience developing RESTful APIs
    • Industry experience with relational databases, SQL and noSQL tools.
    • BSc in Computer Science, Mathematics or similar field
    • Self-starter and comfort working in an early-stage environment
    • Contributions to open source ML projects
    • Experience with Amazon AWS and containerization technologies.
    • Experience with Agile development
    • Master’s or PhD degree is a plus
    • 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.
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