Engineer, ML Systems
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5h ago
The date the source published, not the day we noticed it (2026-09-15). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Bay Area, Singapore, New York, United Kingdom, France, San Francisco, India, Ireland, Germany, Brazil, Argentina, Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $159k–225k/yr
Middle 50% of 2182 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 2h ago · last seen 1h ago
The listing
The role
We are obsessed with efficiency - allowing for real-time evolution of AI depends on making adaptable data and algorithms extremely efficient. The ideal candidate brings an expertise in AI/ML, a strong track record of delivering impact and cares about making impact in the real world.
We’re looking for an engineer who thrives at the intersection of applied research and building real-world products. You’ll drive the design and implementation of adaptable data strategies. You’ll work directly with the founding team, contributing to both the research direction and the product vision. This role demands technical excellence and a passion for delivering real-world impact.
Responsibilities
Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.
Hands-on Impact: The ideal candidate will own implementation of data products at Adaption. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation.
Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or a related field
3-4 years of experience in machine learning, applied research, or systems-level engineering for AI.
Strong software engineering skills and familiarity with Python.
Exposure to working with observability tools in the past (e.g. OpenTelemetry, Docker, Grafana).
Excellent communication skills and ability to align technical work with high-level goals.
A mindset of ownership, curiosity, and a bias toward action.
Experience with online learning, reinforcement learning, or efficient ML architectures.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
About us
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Benefits
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.