---
title: 'Machine Learning Engineer at Adapter'
canonical: 'https://feeny.ai/job/machine-learning-engineer-adapter-united-states-bpm9ykm97bh7'
type: 'job'
last_seen: '2026-09-10'
---

# Machine Learning Engineer at Adapter

- **Company:** Adapter
- **Location:** United States
- **Compensation:** $180k–$225k
- **Work type:** remote
- **Posted:** 2025-01-22
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/adapter/jobs/4499305008

## Job description

Our story:

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](https://www.linkedin.com/in/adam-ghetti) and [Dr. David Bader](https://davidbader.net/), 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.

What we are looking for:

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.

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.

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.

Work Experience:

- 3+ years of experience in similar role, focus on developing and deploying ML models in production environments
- Startup experience is a plus

Benefits:

- Early stage equity
- Comprehensive health insurance
- Generous PTO
- Remote and in person cultures that promote collaboration

Full compensation packages are based on candidate experience and certifications.

United States - Remote Pay Range $180,000—$225,000 USD

## About Adapter

## Company Overview
- **One-liner**: Adapter builds a personalized AI assistant that securely integrates with your email, calendar, and social accounts to proactively filter noise, anticipate needs, and coordinate your digital life.
- **Entity Type**: Private (raised $17.74M total as of July 2026; last round: Unattributed - II)
- **Headquarters**: Atlanta, Georgia, United States
- **Founded**: 2022
- **Founders**: Adam Ghetti (Co-founder & CEO) and Dr. David Bader (Co-founder)

## Core Business
- Primary industry: Artificial Intelligence / Personal Productivity
- Target customers: B2C (individuals seeking a smarter, privacy-first digital assistant)
- Mission: "To empower individuals by building delightful tools that give us not only access to these transformative technologies but also the ability to truly realize their unique benefits." [adapter.com/company](https://adapter.com/company)

## Products & Services
- **[Adapter Personal AI Assistant]**: A SaaS/web app that ingests data from email, calendars, social accounts, and direct conversations to build a trusted knowledge base. It delivers proactive reminders, filters noise, and coordinates schedules across iMessage, WhatsApp, and the web. Privacy and local intelligence are core design principles. [adapter.com](https://adapter.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding raised – $17.74M (as of Q2 2026, including a $10.99M round closed ~May 2026) [cbinsights.com](https://www.cbinsights.com/company/adapter-group)
- **Notable Investors/Partners**: Backed by unspecified "industry’s most respected thought leaders, doers, and venture investors." (No named investors publicly listed.) [linkedin.com/company/adaptergroup](https://www.linkedin.com/company/adaptergroup)
- **Growth Signals**: Filed at least one patent (“Systems and processes for automated collection of data from third-party applications for predictive and adaptive utility-based personal assistance”); collaborated with Google for Developers and Chrome on local AI efforts; actively hiring across engineering, design, and operations.

## Competitive Advantages
- **Privacy-first architecture**: Built by cryptography experts with decades of security experience; data is never sold and access is user-controlled.
- **Personalized knowledge engine**: Learns user preferences and context to deliver proactive, relevant information rather than passive notifications.
- **Cross-platform availability**: Works inside existing messaging apps (iMessage, WhatsApp) plus a web app, reducing friction.
- **Human-centric design**: Focus on empowerment and “all signal, no noise” – distinguishes from ad-supported or data-harvesting alternatives.

## Strategic Focus
- **Local intelligence**: Emphasizing on-device processing and privacy. Partnered with Google for Developers on keeping intelligence local.
- **Expanding adoption**: Currently in beta with a waitlist; growing the 12-person team to scale engineering, design, and operations.
- **Product depth**: Building robust reminder, memory, and coordination features to move beyond simple assistants toward a “digital ally.”

## Why Work Here
- **Culture**: Small, tight-knit team of 12 (~42% technical) with a strong emphasis on “cutting-edge innovation and true human connection.” [adapter.com/careers](https://adapter.com/careers)
- **Benefits**: Full medical, dental, vision; flexible PTO; reimbursement for professional development; annual learning initiatives.
- **Work model**: Office-based in Atlanta, GA (525 Piedmont Road). The team is 100% US-based, suggesting limited remote options, though flexibility may be possible.
- **Engineering philosophy**: Builds “intelligent systems that bring the power of computational capabilities directly to people’s hands” with a focus on human empowerment. [adapter.com/careers](https://adapter.com/careers)
- **Growth opportunity**: Join an early-stage company with a bold mission, recent funding, and the chance to own significant technical and strategic work.

## Sources
1. [adapter.com](https://adapter.com/)
2. [adapter.com/company](https://adapter.com/company)
3. [adapter.com/careers](https://adapter.com/careers)
4. [linkedin.com/company/adaptergroup](https://www.linkedin.com/company/adaptergroup)
5. [cbinsights.com](https://www.cbinsights.com/company/adapter-group)

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