Machine Learning Engineer

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

Overview

The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world.

Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.

We have established a culture that promotes both remote work and in‑person collaboration, with team members currently dispersed between Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.

Position

Machine Learning Engineer

We are looking for a Machine Learning Engineer who will play a critical role in fine‑tuning transformer‑based models using automation pipelines and implementing real‑time fine‑tuning pipelines in production environments.

You will partner with a brilliant team of designers, engineers, and innovators and will be at the cutting edge of some of the most interesting consumer use‑cases for intelligent technologies.

Responsibilities

• Use the latest cutting edge technologies such as LLMs, multimodal models to handle complex problems.
• Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.
• Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).
• Deploy models at scale: collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
• Monitoring and maintenance: implement monitoring solutions to track model performance in real‑time and perform regular maintenance and updates as needed.
• Collaboration: work closely with cross‑functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.
• Research and innovation: stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.

Qualifications

• Experience with optimizing models for size, cost, and latency is a plus.
• Proficient in designing, developing, and operating fine‑tuning pipelines in production environments.
• Experience with large‑scale data processing and distributed systems.
• Strong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, TensorFlow, etc.

Experience & Benefits

• 3+ years of experience in a similar role, focusing on developing and deploying ML models in production environments.
• Startup experience is a plus.
• Early stage equity.
• Generous PTO.
• Remote and in‑person cultures that promote collaboration.

Compensation

Full compensation packages are based on candidate experience and certifications.

United States - Remote Pay Range

$180,000 - $225,000 USD