remote

Salary
$160,800–$193,000from the description
Posted
Jul 15, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior engineering role focused on building and deploying machine learning systems and AI tooling for an autonomous technology company. Day-to-day work spans model development, inference pipelines, data engineering, and establishing scalable ML workflows and best practices. The role suits an engineer comfortable operating in exploratory, ambiguous environments who can also mentor peers and communicate findings to non-technical stakeholders.

Mid level · 4+ years · Remote · Bachelor's required · Full-time

Advertised as Senior, but the requirements read as Mid.

Must have (4)
machine learningPythonversion controldata visualization
Nice to have (1)
robotics / autonomous systems

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 21,800 people nationally plausibly meet what this posting asks for (software developers). range 13,100–32,700

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
machine learning12%data visualization12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

The role is posted via Jobgether on behalf of an unnamed partner company; the actual employer and its industry are not disclosed beyond a reference to 'autonomous technology' and 'physical AI environments'.

The degree requirement is a hard gate but offers two paths: a Bachelor's with 4+ years OR a Master's with 2+ years of relevant experience. The minimum total experience is set to 4 years (the Bachelor's path), which is the lower bound. The Master's path (2+ years) is not separately surfaced because the JD does not accept equivalent experience in lieu of a degree.

The JD names no specific programming language, ML framework, or tooling (e.g. Python, TensorFlow, PyTorch, Spark) anywhere in the posting. Skills are extracted at the capability level only; no concrete named technologies could be identified beyond general categories.

Experience in robotics, autonomous systems, embedded systems, or physical AI environments is explicitly called 'a plus' — listed as preferred.

The seniority band is assessed as Mid despite the 'Senior' title: the experience floor (4+ years with a Bachelor's, 2+ with a Master's) and the scope described (contributing to team projects, guidance to less experienced members) are consistent with a mid-level role on most career ladders. The 'Senior' label is the advertised framing.

The alt SOC (15-2051 Data Scientists) reflects the genuine ambiguity: the role spans ML model development, data engineering, and production software engineering roughly equally, with no single discipline clearly dominant.

Caller marked this a fully-remote role — scored against the national candidate pool.

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