DL Researcher

Greenhouse Software, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work from anywhere in the world

40 paid days off

Global offices access

Job summary

Eqvilent is seeking a Deep Learning Researcher to advance cutting-edge AI solutions. You will contribute to developing DL models with top accuracy and speed, in a fast-paced, globally distributed team.

This role supports remote work from anywhere in the world, offers collaboration with international professionals, access to cutting-edge hardware, and generous paid time off. Ideal candidates have hands-on experience in DL domains, experimental rigor, and a track record of competitive results

Qualifications

• Proficient knowledge in one DL domain (CV, NLP, TimeSeries, or Audio).
• Experience building scalable, reproducible ML pipelines.
• Ability to design experiments to quickly validate hypotheses.

Responsibilities

• Develop DL solutions with state-of-the-art performance.
• Collaborate on experiments to iteratively improve models.
• Translate research into production-ready pipelines.

Skills

Deep Learning

ML pipelines

Experimentation

Job description

We are currently seeking a Deep Learning Researcher. You have stumbled upon a gem in Deep Learning vacancies. A place to put to use your hard-earned experience and show some state-of-the-art work in a highly competitive environment where all your skills will be put to test.
Feel free to go through the details and learn more from our recruitment team.

What You’ll Be Doing:

• The team you’ll join is working on developing solutions based on DL with state-of-the-art performance in terms of accuracy/speed/scalability.
• We expect you to have proficient skills in ML, in particular in one of Deep Learning domains.

What We Look For In You:

• Proficient knowledge in one of Deep Learning domains (CV, NLP, TimeSeries, Audio, etc.)
• Experience in development scalable and reproducible ML pipelines
• Competency in conducting experiments to facilitate rapid iterations and validate hypotheses

Nice-to-have:

• Top ranks in competitions with prizes and objective metrics (Kaggle, TopCoder, DrivenData, etc.)
• Experience in Time Series tasks

Why Should You Join Our Team?

• Great challenges with fast feedback loops
• A welcoming group of highly qualified international professionals
• Cutting-edge hardware and technology
• Work remotely from anywhere in the world
• Access any of our global offices anytime
• 40 paid days off