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| Job Title | Company Name | Salary | Location | Tags | Posted | |
|---|---|---|---|---|---|---|
| Ritual | $40k-60k/year | RemoteWeb3Developer | 1w | |||
| ChainSafe Systems | $60-90/hour | RemoteWeb3Research | 1w | |||
| ChainSafe Systems | $30-45/hour | RemoteWeb3Research | 1w | |||
| Aptos | $100k-150k/year | RemoteWeb3Non Tech | 1w | |||
| Aptos | $100k-160k/year | RemoteWeb3Developer | 1w | |||
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| Aptos | $180k-300k/year | RemoteWeb3Research | 1w | |||
| Binance | Taiwan, Taipei | Web3DeveloperEngineering | 1w | |||
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| Token Metrics | RemoteWeb3ResearchDeveloper | 1w | ||||
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| Ritual | $1-2/year | RemoteWeb3Research | 1w | |||
| Token Metrics | $100k-150k/year | RemoteWeb3Research | 1w | |||
| Token Metrics | $150k-200k/year | RemoteWeb3Research | 1w | |||
| Token Metrics | $120k-150k/year | RemoteWeb3Research | 1w | |||
| Polygon Labs | $120k-150k/year | RemoteWeb3Developer | 1w | |||
| Token Metrics | $120k-150k/year | RemoteWeb3Research | 1w | |||
| Windranger Labs | RemoteWeb3Non TechCommunity | 6d | ||||
| Flashbots | $150k-300k/year | RemoteWeb3Research | 6d | |||
| Chainalysis | RemoteWeb3ResearchPython | 5d | ||||
| Token Metrics | $120k-160k/year | RemoteWeb3Research | 5d | |||
Machine Learning Engineer
at Ritual
Ritual is a pioneering company at the forefront of merging artificial intelligence with blockchain technology. Their initial offering, Infernet, stands as a groundbreaking product enabling developers to access AI models both on-chain via smart contracts and off-chain environments. As they progress to their next phase, Ritual Chain, the company is focused on establishing a sovereign layer meticulously crafted to support AI-native operations. This innovation aims to facilitate a new class of applications that sit at the dynamic intersection of cryptocurrency and artificial intelligence.
Ritual boasts a collaborative environment where a team of expert engineers, researchers, and operators work closely to build and refine large-scale decentralized systems and applications. With an emphasis on utilizing tools such as Python, PyTorch, Rust, and GCP, the company fosters a culture of innovation and exploration in domains like distributed systems, AI/ML, and blockchain technology. They offer a highly competitive compensation package, exceptional benefits, and a flexible working arrangement, making it an attractive place for those eager to advance AI infrastructure and applications.
About Ritual
Ritual is building a sovereign layer for AI. Our first phase, Infernet, is the first product of its kind to enable developers to access models both on-chain via smart contracts and off-chain. Our next phase, the Ritual chain, will be a sovereign layer custom-built to support AI-native operations and enable a new class of applications at the intersection of crypto and AI.
About the role
We are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products.
- Scale up model inference and running predictions at scale on cutting-edge models
- Work end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications)
- Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle
- Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products
About you
- Experience as a software engineer
- Experience building and serving machine learning models
- Familiarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace
- Ability to reason through machine learning system tradeoffs
- A high level of end-to-end ownership and self-direction
Extras
- Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc
- Familiarity with DataOps, MLOps, and ML orchestration pipelines
- Understanding of modern ML architectures and intuition for inference performance tradeoffs
- Experience or interest in working on open-source ML products
- Interest in building tech aligned with user privacy, computational integrity, and/or censorship resistance
- Experience at fast-growing companies or startups
Why join us
- Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure
- Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups
- Top 1% of benefits across the web3 startup space
- 100% of premiums covered on highest quality healthcare
- Aggressive company 401k match
- Fully remote and/or hybrid, up to you!
- Participate in virtual and in-person events
- Much much more!
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