Senior ML Engineer — Remote, Equity & PTO

Adapter; Town of Poland (NY); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Early stage equity

Generous PTO

Remote and in-person collaboration culture

Job summary

Adapter, based in the United States, is seeking a Machine Learning Engineer to fine-tune transformer-based models and implement real-time pipelines in production. You will collaborate with a brilliant team and tackle innovative consumer use-cases.

The ideal candidate should have 3+ years of experience in ML, strong Python skills, and the ability to work with large datasets. The position allows for both remote and in-person collaboration.

Qualifications

• 3+ years of experience in developing and deploying ML models in production environments.
• Startup experience is a plus.
• Strong programming skills in Python.

Responsibilities

• Use the latest technologies like LLMs to handle complex problems.
• Work with large datasets and perform data preprocessing.
• Build frameworks to iterate and evaluate model versions.
• Collaborate with software engineers to deploy models into production.
• Implement monitoring solutions for model performance.
• Research and develop innovative solutions.

Skills

Optimization of models for size, cost, and latency

Designing and operating fine-tuning pipelines

Large-scale data processing

Python programming

PyTorch and TensorFlow

Job description

Adapter, based in the United States, is seeking a Machine Learning Engineer to fine-tune transformer-based models and implement real-time pipelines in production. You will collaborate with a brilliant team and tackle innovative consumer use-cases.

The ideal candidate should have 3+ years of experience in ML, strong Python skills, and the ability to work with large datasets. The position allows for both remote and in-person collaboration.