Remote Machine Learning Engineer

Description:

• The role involves designing and implementing highly decentralized training pipelines, which may include proof of concept development for novel machine learning research and maintaining highly fault-tolerant production systems.
• Responsibilities include building scalable, distributed machine learning compute systems over decentralized and heterogeneous infrastructure.
• The candidate will design and develop novel machine learning algorithms and deep learning applications for Gensyn, potentially from scratch or by enhancing existing systems.
• The position requires partnering with researchers and production engineers to design and run novel experiments, transitioning research from theory to production.

Requirements:

• A strong background in applied machine learning or engineering is essential.
• Candidates must be comfortable working in an experimental environment with high autonomy and unpredictable timelines.
• A proven background in training, retraining, inference, or machine learning systems is required.
• Impeccable analytical and problem-solving skills are necessary.
• Familiarity with data structures and software architecture is expected.
• Preferred qualifications include experience in building highly performant, distributed systems and a demonstrated background in developing or implementing novel machine learning research.
• Experience in developing mission-critical, highly complex production systems, particularly in improving fault tolerance and crash recovery, is also preferred.
• It is nice to have experience working in a startup or scaleup environment.

Benefits:

• The position offers a competitive salary along with a share of equity and a token pool.
• Employees can work fully remotely, with hiring available between the West Coast (PT) and Central Europe (CET) time zones.
• Visa sponsorship is available for candidates who wish to relocate to the US after being hired.
• The company provides 3-4 all-expenses-paid retreats around the world each year.
• Employees will receive whatever equipment they need for their work.
• Paid sick leave and flexible vacation policies are included.
• Company-sponsored health, vision, and dental insurance is provided, including coverage for spouses and dependents (available in the US only).