(Senior) Research Engineer, ALI,I2R

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 60,000 - 85,000; Full time

Job summary

A leading research organization in Singapore is seeking a candidate to implement deep learning algorithms. This role requires collaboration in problem analysis and designing solutions to optimize computational efficiency. The ideal candidate holds a BSc/MSc in ML or NLP, has 3-5 years of experience, and possesses strong programming and communication skills. Proficiency in local languages is a plus. Shortlisted candidates will be notified.

Qualifications

• 3-5 years of experience in machine learning and natural language processing.
• Proficient programming skills in relevant languages.
• Strong command of local or regional languages.

Responsibilities

• Implement deep learning algorithms for training and inference.
• Conduct evaluation to build state-of-the-art foundational models.
• Collaborate with a team on problem analysis and design solutions.

Skills

Deep learning algorithms

Problem solving

Coding

Communication skills

Analytical thinking

Interpersonal skills

Familiarity with Linux

Education

BSc/MSc in ML, NLP

Job description

Job Description

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of -the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.

Job Requirement

• BSc/MSc in ML, NLP, background in speech, national language understanding
• 3-5 years of experience
• Proficient programming skills, familiarity with Linux
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Strong in local or regional languages

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.