Machine Learning Engineer

Terra Softech; Aceh; On-site; IDR 400,000,000 - 900,000,000; Full time

Job summary

Terra Softech invites applications for a Machine Learning Engineer to research, develop, and deploy ML systems on the Giuseppe platform for food science and technology. You will collaborate with Experimental Chefs and Food Scientists to craft ML-driven solutions for new product development, from plants to novel proteins.

You will lead ML initiatives end-to-end, emphasizing strong research, project management, and potential team leadership.

Qualifications

• BS/MS in Computer Science or related field with ML focus.
• 3+ years in an Applied Machine Learning group.
• Strong Python software engineering and testing (unittest, nose).
• Strong data science skills with PyTorch, Pandas, NumPy, SciPy, scikit-learn, Jupyter, Matplotlib, Hugging Face, LangChain, Polars.
• Experience training DL models and cloud GPU/TPU training.
• Familiarity with model packaging and deployment (Docker, Kubernetes, GCP).
• Expertise in Representational Learning or Transformers preferred.
• US work authorization required.

Responsibilities

• Research, develop, and deploy ML systems on Giuseppe platform for food science applications.
• Collaborate with Experimental Chefs & Food Scientists to find ML-driven solutions for new products.
• Lead ML initiatives end-to-end from proposal to deployment; may lead a small team.
• Analyze and debug deployed models and suggest improvements to data, algorithms, or workflows.
• Identify new datasets to improve model performance.
• Read and implement recent ML papers relevant to our scope.
• Dive into food science domain and learn about proteins and aroma molecules.
• Contribute to department and organization projects.

Skills

Python programming

Unit testing

Deep Learning

Model deployment

Cloud GPUs

Communication

Team leadership potential

Education

BS/MS in Computer Science or related field

Tools

Docker

Kubernetes

GCP

PyTorch

HuggingFace

LangChain

Polars

Job description

20 May Machine Learning Engineer

Posted at 05:34h in Open Career by lucca

Role & Responsibilities

• Research, develop, and deploy machine learning systems onto the Giuseppe platform for food science & technology applications.
• Brainstorm with Experimental Chefs & Food Scientists to find data and ML-driven solutions for problems arising with new product development. We develop products ranging from plant-based milks to plant-based meats, so there are always engaging challenges to solve.
• Lead new machine learning initiatives end-to-end, from proposal to deployment. This requires having strong research, project management & communications skills and the potential to lead a small team.
• Analyze and debug issues with currently deployed models & suggest improvements to data, algorithms, or workflows.
• Identify new datasets that could help improve the performance of current algorithms.
• Read & implement recent ML papers that are relevant to our scope of work (e.g. implement a self-supervised algorithm proposed in a 2020 ICML paper).
• Dive into the domain of food science: be interested in learning about proteins, volatile molecules & the food industry in general.
• Contribute in general to department and organization projects.

Requirements

• BS/MS in Computer Science or a related field with a focus on machine learning
• 3+ years of working experience in an Applied Machine Learning group
• Strong background in software engineering, unit & functional testing (Python, unittest, nose)
• Strong data science analytical skills with a traditional data science and Deep Learning stack (Python, PyTorch, Pandas, NumPy, SciPy, Scikit-learn, Jupyter, Matplotlib, Hugging Face, LangChain, Polars, etc.)
• Prior experience with implementing & training Deep Learning models; prior experience with training models on cloud infrastructure on GPU/TPU
• Familiarity with model packaging & deployment (Docker, Kubernetes, Google Cloud Platform)
• In-depth knowledge in one or several of the following areas preferred: Representational Learning, Generative Models, Transformers, bandit algorithms & convex optimizers
• Authorization to work in the U.S. is required