Overview
Do you want to build cutting-edge AI/ML technologies that reinvent the user experience on social media platforms, SaaS or the XR tech space? Do you want to work alongside a team of passionate and talented scientists and engineers dedicated to building the next generation of intelligent customer experiences, by leveraging state-of-the-art deep learning and generative models? Are you passionate about algorithm fairness in AI and creating products that work for everyone? The Aeone (a software startup) Core AI team seeks to hire a Founding Machine Learning Engineer, who has a solid background in design and development of scalable AI/ML systems, deep passion for building inclusive AI-driven products, ability to communicate engineering insights, and has a proven track record of executing complex projects and delivering high business impact. As one of the founding engineers on the team; this role will give you an opportunity and exposure to build to state-of-the-art innovations in AI/ML systems as well as work with experience with scientists on the science side of the spectrum.
Aeone’s vision is to bring the world closer together and create genuine value for society, by building an ecosystem that empowers creatives and builders—to build safer spaces online, build strong communities, enhance their livelihoods, and to solve the world's biggest problems. Aeone has two products: Creatr (a SaaS product in the Creator Economy) and Veucast (a social media platform), with more in the pipelines. Our products are available on iOS, Android, Web, and Desktop. We have ambitious goals to scale growth and adoption of our services around the world and delight our customers with a great product.
The long-term vision of the Core AI team is to make Aeone’s products effortlessly engaging and life-changing for all our customers. We are creating an experience that understands why and when customers engage with different types of contents, each other, or take different actions and build our products to foresee and satisfy those needs. We are building the capabilities to give Aeone’s products/services the ability to help customers discover and find all types of relevant information and contents through in-app web and mobile interactions, suggestions, search, and personalized recommendations. The team also handles Veucast and Creatr’s Search Infrastructure, where we delight customers when we accurately understand their intent expressed via a query, interaction with content, and reflect that understanding throughout the search page, copilot features, amongst many others - from layout to the search results and navigation. The team provides ML training data to product search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, price recommendation, content generation, financial analysis, search result ranking, and personalization. We build state-of-the-art foundational technologies that enable an intelligent customer experience leveraging advanced deep learning and large language models, generative AI, and privacy-preserving machine learning on user’s device.
Key Job Responsibilities
As a Founding Machine Learning Engineer, you will design and develop AI/ML products that involve large-scale data processing and modeling. You will have responsibility to help define requirements, create software designs, implement code to these specifications, and support products while deployed and used by our customers. As an ML Engineer, you will be expected to:
Design & Develop
Lead and work with Applied Scientists, Data Scientists, and ML Engineers to design and deliver AI/ML solutions in production at scale.
Lead and develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
Lead and deliver customer facing and internal ML solutions that empower our devices to provide the best experience for our customers.
Lead and mentor other engineers, defining our challenging technical culture, and helping to build a team
Operational Excellence
Obsess over operational excellence, evaluate system performance, security, design system metrics and driving quality improvements
Obsess over customer needs and satisfaction
Basic Qualifications
3+ years of non-internship professional software development experience as an ML Engineer, Data Scientist, or Applied Scientist,
3+ years of programming with at least one software programming language experience
3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Skills - you should be familiar with many of these concepts and technologies and have built projects with some of them.
Backend: node, Docker, python, Flask, pip, REST
Machine Learning: PyTorch, TensorFlow, ONNX, OpenVINO, TensorRT, TFjs
Mobile: Swift iOS, Kotlin/Java Android
AWS: EC2, ECR, ECS, RDS, Lambda, Cloud Watch, Batch, S3, Digital Ocean
Google Cloud: Cloud Run, Cloud Functions, Cloud Storage, PubSub, GCE
Frontend: Firebase, React, jQuery, HTML, CSS
You certainly don't need to be an expert in all of these areas; but should be excited to learn new skill sets as you need them.
Preferred Qualifications
Graduate degree in computer science or related field (MS or Ph.D.)
5+ years hands-on experience as a Senior ML Engineer leading multiple software engineering or Machine Learning projects.
Speed. Can to ship features weekly.
Data-driven and quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts
Experience building Artificial Intelligence (ML; NLUs, NLPs, LLMs) models; to help model various datasets, interactions, generative content, and recommendation automations.
Have a keen interest and experience in solving for algorithmic fairness/bias.
Experience with machine learning and deep learning techniques in the fields of language models, recommender systems, search engine development, information retrieval, ML inference pipeline, Model performance optimization, Model quality monitoring etc.
Experience in building scalable machine-learning infrastructure and big data systems.
Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
Experience with end-to-end software development and life cycle of machine learning solutions.
Ability to understand complex application data flows and bridge the gap between technical and business app requirement
Track record of implementing AWS services ((SageMaker, Redshift, EMR, Glue, Step Functions, Lambda, Batch, etc.) in a variety of business such as large enterprises and start-ups
Experience working for a Big Tech firm or SaaS startups
Experience procuring and implementing third party APIs
Experience procuring and implementing Data Analysis and visualization APIs; machine learning
Experience in multiple languages (e.g. Typescript, Java, React, CSS, HTML5, Python, C++, NodeJS)
Excellent written and verbal communication skills
Advanced writing and spoken English proficiency.
You will be a great fit if
You are an experienced ML Engineer/Scientist, who is adoptable.
Willing to commit at least 10 hours per week before the seed round closes.
You are able and willing to learn and do both front-end and backend engineering, when needed.
You are here for the long-haul, and believe in Aeone's vision and its products.
You are a creator or have an interest in the creator economy, social media, and Extended Reality (AR/VR).
You are metric, result, and data-driven; you are able to analyze and back up your ideas with data. You take ownership of decisions you make.
You have a backbone and communicate your ideas even when it’s difficult to do so.
You understand there are no defined roles at early-stage startups, and that you may be asked to perform tasks outside this role or job description.
You are willing to do what it takes, including taking on tasks that are not “sexy” or outside your perceived job “scope”, to make the product and company successful. Example: “you may be asked to respond to customers, or attend a conference, or pitch at an event, or travel”.
You are a self-starter; you anticipate business needs and don’t wait to be told what to do.
You thrive in an ambiguous environment; you understand that you won’t always be told everything, and you would need to take initiative and figure things out.
You are willing to sometimes go past work hours or work on weekends to address business needs (i.e. writing emergency code or fixing emergency bugs on the weekend).
You value documenting all your processes.
You value being a part of something bigger than yourself, and building products that make a global impact.
What’s in it for you?
2% equity. Please note that this position starts off paid in equity only, until we raise our Seed Round.
You can start part-time and remote, until we raise our Seed Round.
Competitive salary when we raise our $2.9M Seed Round.
Work alongside very smart people, which will propel you level up!
Opportunity to build and impact the company's AI/ML team from scratch
Opportunity to impact the company's culture as an AI/ML leader.
Be a part of something bigger than yourself, and help build a global software company from scratch.
Potential projects include:
Building an ML Price Recommender System (looking at over 30 metric)
Building a text generative model for scripts (NLP) tha mimics human thought
Building a text to image generative model (LLM)
Building AI models for automation (ML/NLP)