Job Description
Job Description:
Position: Machine Learning Research Engineer - Machine Translation
Location: New York, NY, United States
Qualifications:
The ideal candidate will have excellent communication skills and be a team player. Requires 3+ years of experience in machine learning and NLP, including model training, neural machine translation, language modeling, and sequence-to-sequence models. Experience building AI/ML systems at scale in production or high-impact research environments is essential. Proficiency with JAX, PyTorch, or TensorFlow is required. A strong passion for machine translation, large language models, and NLP is vital.
Responsibilities:
As part of the Machine Translation team, you will develop advanced MT technologies to enable seamless cross-language communication. You’ll work on a variety of language technologies, pushing the boundaries of MT to solve practical challenges.
Benefits:
Base pay ranges from *** to *** determined by skills, qualifications, experience, and location. Employees may participate in stock programs, including restricted stock units and stock purchase plans. Additional benefits include comprehensive medical and dental coverage, retirement plans, discounted products and services, tuition reimbursement for career advancement, and eligibility for bonuses or commissions. Relocation assistance may also be available.
Note: Benefits, compensation, and stock programs are subject to eligibility and applicable terms.
Job Requirement
Experience:
Minimum of 3 years in machine learning (ML) and natural language processing (NLP).
Hands-on experience with neural machine translation.
Language modeling.
Sequence-to-sequence models.
Technical Skills:
Proficiency with deep learning frameworks such as JAX, PyTorch, or TensorFlow.
Proven ability to develop AI/ML systems at scale, either in production environments or impactful research settings.
Soft Skills:
Strong oral and written communication skills.
Team player with the ability to collaborate effectively.
Passion for:
Advancing machine translation technologies.
Working with large language models and other NLP applications.
