Easy Apply
Easy Apply
Design, train, and deploy predictive models for adversarial systems while building high-performance ML infrastructure and contributing to research and open-source projects.
Summary: Join Temporal, a leading Solana native Research & Development firm, as a Machine Learning Engineer. Contribute to cutting-edge projects by designing, training, and deploying predictive models for adversarial systems while building high-performance ML infrastructure. Stay at the forefront of technological advancements by engaging with the latest research and contributing to open-source development.
Responsibilities:
- Design, train, and deploy predictive models for adversarial systems
- Build and maintain high-performance ML infrastructure that scales from research prototypes to production systems
- Stay on the frontier: read new papers, reproduce results, experiment with hardware, and contribute to open source
Required Skills:
- Deep foundations in optimization, statistics, and linear algebra
- Expertise in ML frameworks (ideally PyTorch) and strong software engineering skills
- Experience building real-time or distributed ML systems
- Curiosity, independence, and a track record of original contributions (research, open source, competitions, patents)
Compensation: $200,000–$300,000 base salary, equity package, and discretionary bonus
Top Skills
PyTorch
Similar Jobs
Professional Services • Software
The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.
Top Skills:
AzureBayesian NetworksCi/CdConstraint ProgrammingDbtDockerKubernetesMachine LearningMonte CarloReinforcement LearningSnowflake
Automotive • Big Data • Insurance • Software • Transportation
The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.
Top Skills:
AirflowAWSAzureGCPPythonPyTorchSagemakerSQLXgboost
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
Partner with CV researchers to productionize models, optimize training and real-time inference performance, design reusable abstractions, and collaborate with MLOps/backend teams to evolve the CV inference platform for scale and reliability.
Top Skills:
Python,Pytorch,Docker,Aws,Gpus,Mlops,Distributed Systems,Parallel Processing
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
