(Full Remote) Machine Learning Intern/Co-op at Joinrs US

Feedinkoo; United States; Hybrid; USD 25,000 - 45,000; Full time

Benefits offered by this job

Free daily lunch

Full health and dental benefits

Paid vacation

Parental-leave top-up

Remote-flexible work

Job summary

Feedinkoo is seeking a full-time Machine Learning Intern/Co-op in the United States. The role involves designing, training, and improving advanced machine learning models while collaborating with product teams.

The ideal candidate is enrolled in a post-secondary program and has proficiency in Python and ML frameworks like TensorFlow. The position offers comprehensive benefits, including health care and flexible remote work options.

Qualifications

• Students must be enrolled in a relevant post-secondary program.
• Ability to commit to a full-time internship for 3-6 months.

Responsibilities

• Ship state-of-the-art models to production.
• Design and implement novel research ideas.
• Train large-scale models on massive datasets.

Skills

Proficiency in Python

Experience with ML frameworks (TensorFlow, JAX)

Strong communication skills

Problem-solving skills

Experience in distributed training

Understanding of autoregressive models

Education

Currently enrolled in a post-secondary program

Tools

TensorFlow

JAX

CUDA

Job description

Position Overview

Cohere, a leading AI research company, seeks a full‑time Machine Learning Intern/Co‑op to design, train, and improve cutting‑edge models while collaborating with product teams.

Responsibilities

• Ship state‑of‑the‑art models to production.
• Design and implement novel research ideas.
• Build elegant training and deployment pipelines.
• Design, train, and improve cutting‑edge models.
• Help develop new techniques to train and serve models safely, better, and faster.
• Train extremely large‑scale models on massive datasets.
• Explore continual and active learning strategies for streaming data.
• Learn from experienced senior machine learning technical staff.
• Work closely with product teams to develop solutions.

Qualifications

• Proficiency in Python and ML frameworks such as TensorFlow, TF‑Serving, JAX, and XLA/MLIR.
• Experience using large‑scale distributed training strategies.
• Familiarity with autoregressive sequence models, e.g., Transformers.
• Strong communication and problem‑solving skills.
• Demonstrated passion for applied NLP models and products.
• Bonus: experience writing GPU kernels with CUDA.
• Bonus: experience training on TPUs.
• Bonus: papers at top‑tier venues (NeurIPS, ICML, ICLR, etc.).

Eligibility

Students enrolled in a post‑secondary program, available for a full‑time 3‑6 month internship, co‑op, or research work term.

Benefits / Perks

• Free daily lunch and weekly lunch stipend.
• Full health and dental benefits, including a mental‑health budget.
• Personal enrichment benefits for arts, culture, fitness, and well‑being.
• Remote‑flexible work with offices in Toronto, New York, San Francisco, London, and coworking stipends.
• Paid vacation (6 weeks for full‑time employees, 3‑4 weeks for interns).
• Parental‑leave top‑up in Canada, US, and UK (employees).

EEO Statement

Cohere values and celebrates diversity and strives to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. If you require accommodations during the recruitment process, please submit an Accommodations Request Form.