Distributed Systems Engineer, Gensyn
More information about location
Hyperscale machine learning compute protocol
Job no longer available
Hyperscale machine learning compute protocol
1-20 employees
Job no longer available
More information about location
1-20 employees
Company mission
To enable machine learning engineers to train AI models at a higher scale and lower cost.
Role
Who you are
- ✅ Excellent knowledge of any programming language - preferably Rust, C++, C, Golang, Python, or similar
- ✅ Strong willingness to learn Rust - as a Rust by default company, we require that everyone learns Rust so that they have context/can work across the entire codebase
- ✅ Computer science background - understanding of computational complexity (time, space) and broad knowledge of algorithms and data structures
- ✅ Operating system fundamentals - preferably Linux, practical experience with network sockets, process life cycle, Unix-like shells and filesystems
- ✅ Networking - understanding and troubleshooting experience of most common networking protocols: IP, TCP, UDP, HTTP
- ✅ Highly self-motivated with excellent verbal and written communication skills
- ✅ Comfortable working in an applied research environment - with extremely high autonomy
Desirable
- 🔥 Rust - strong experience with systems programming in Rust (you know what a 'lifetime is and understand the purpose of Pin)
- 🔥 Distributed systems - experience designing or working with distributed systems that required fault tolerance, low latency and high availability
- 🔥 Open source work - experience working with large open source codebases - either as maintainer or trusted contributor
- 🔥 Knowledge of deep learning - solid theoretical grasp of how deep learning models function
- 🔥 Blockchain - understanding of blockchain fundamentals
What the job involves
- 👉 Contribute and maintain - develop Gensyn node, CLI and accompanying tools implementing new features (ranging from introducing new CLI flags and ML execution orchestration to implementing new network protocols), optimising existing solutions (for example utilising memory mapped files or introducing more efficient data structures), fixing bugs and participating in architecture design
- 👉 Continuous integration and delivery - implement and maintain CI/CD pipelines responsible for regression testing, documentation publishing and upgrading Gensyn runtime and introduce new ways to automate chores
- 👉 Code reviews - maintain our high code quality standard by doing code reviews
- 👉 Security audits - collaborate on internal and external audits, apply and deploy mitigations in production and disclose responsibly
- 👉 Implement novel research - build out newly proposed mechanisms and algorithms to solve never-tackled-before problems
- 👉 Follow best practices - build in the open with a keen focus on designing, testing, and documenting your code
- 👉 Write & engage - contribute to technical reports/papers describing the system and discuss with the community
Our take
The concept of "deep learning" evolved decades ago and is required for AI-based applications, with the necessitates of its development based on patterns found in the human brain. Most AI developers, though, cannot afford the computing power needed to run these AI applications. Instead, they're forced to rent from cloud computing platforms.
Gensyn is a London-based blockchain start-up that is building cost-efficient and decentralised deep learning and machine learning compute networks, allowing deep and machine learning models to be trained at a new scale and at a cheaper cost. At a time when the popularity of artificial intelligence is soaring, the potential for such an offering is high, definitely making the company one to watch.
Founded in 2020, Gensyn's long list of investors include Eden Block - a Web 3.0 infrastructure VC - as well as founders from major blockchain organisations. Its latest raised, headed by Andreessen Horowitz, is cited to support the expansion of Gensyn's team, as well as help with the finalization and launch of its product.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jun 2023
$43m
SERIES A
Mar 2022
$6.8m
SEED
Total funding: $50.9m
Company benefits
- Fully remote - we hire between the West Coast (PT) and Central Europe (CET) time zones
- Flat hierarchy and an autonomous environment
- Share of equity and token pool
- 4x all expenses paid company retreats around the world, per year
- Whatever equipment you need
- Paid sick leave
- Private health, vision, and dental insurance - including spouse/dependents 🇺🇸
Company HQ
Westminster, London, UK
Leadership
Ben Fielding
(Co-founder)Previously CEO and Co-founder of Fair Custodian and a Director at Research Analytics, as well as a Machine Learning Consultant at Ricochet AI.
Harry Grieve
(Co-founder)An angel investor for companies like Thymia, Altitude Labs, Catapult, and Modulus Labs. Worked as a Data Research Director at Cytora prior to Gensyn.
Share this job