**Junior Machine Learning Engineer - Full Time (Remote)**
**Role Summary / Overview**
Serve as a junior developer doing hands-on work related to machine learning, deep learning, artificial intelligence, microservices, and agile tooling.
**About Us**
For the last 3 years, we have been building Openmesh- a full-stack, decentralized data cloud infrastructure built on a global network of bare metal servers. It is the largest open data lake, covering approximately 80% of the entire crypto and web3 ecosystem today. Openmesh enables anyone to create their own decentralized data cloud, connect globally, share data securely, slash deployment costs, and automate data cloud setup.
The Openmesh Network is designed to collect, store, process, stream, and provide data connectivity for anyone, anywhere, anytime, without the need for registration, licensing, or payments. Think of Openmesh as the internet's open data fabric. It grants universal access and prevents interference by regulations, governments, corporations, and even its own creators. The possibilities are endless.
**About OPEN Data and Infrastructure Summit 2023**
Openmesh is hosting the first of an annual event, OPEN D/I.
**Vision**
In order to preserve a democratized society, data infrastructure should be open and easily accessible to the general public, with no barriers to entry and without much interference from regulations, governments, and/or corporations.
**Mission**
To educate, raise awareness and unite pioneers, entrepreneurs, innovators, policymakers and change-makers to push for an open, decentralized web. Global issues demand global collaboration. Together, we can shape a democratic tech future.
Getting the design right
It's important for us to get the design right. Technology is moving so fast and we need to build technologies responsibly. Nurturing innovation and growth while safeguarding what is most important to humanity is crucial for securing a better future.
**Responsibilities**
- Assist team leads in identifying multiple emerging tech initiatives running in parallel related to such technologies as AI, ML, microservices, and agile tooling
- Perform as a hands-on junior developer to implement solutions
- Be willing to engage in developing online content (blogs, social Media, Etc.) specific to initiatives to further corporate marketing initiatives.
**Qualifications / Requirements**
- Familiarity with machine learning fundamentals
- Aware of optimization techniques and differences (gradient decent variants, hyperparameter tuning, regularization)
- Some experience with different problems and domains, ideally specialized in at least one (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.)
- Familiarity with a couple of traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.)
- Basic understanding of deep learning fundamentals (CNN, RNN, attention/memory, Autoregressive) and ideally some applications of extensions (Transformer, LSTM, ResNet, etc.)
- Experience coding with popular frameworks
- Solid with Python (basic data structures, coding patterns) along with common data, math and visualization libraries
- Able to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git)
- Loading and saving large data sets and models efficiently
- Structuring code to make it modular and deployable (logging and metrics, adhering to common deployment interfaces/hooks)
- Ability to follow papers/theory and adapt associated models
- NLP specialization (NLU, NLI, QA, BERT, GPT, T5, XLNet, etc.)
- MLOps and cloud environment (resource configuration, optimization)
- Data engineering (large scale data processing in batch or stream, security and configuration best practices)
**What You’ll Get**
By joining Openmesh as a Junior Quantitative Researcher, you will enjoy the following benefits:
- Competitive compensation package.
- Opportunities for professional growth and development within a pioneering industry.
- Engagement in an open-source community that values data integrity and innovation.
- A collaborative work environment where your contributions are valued.
- The opportunity to be at the forefront of transformative developments in the crypto and Web 3.0 landscape.