Machine Learning Engineer
MatrixSpace · Burlington, MA
$165,000–$200,000
Jul 7, 2026
Burlington, MA
Jul 20, 2026
What this job asks for AI summary
This role sits at the boundary between research and production, taking ML algorithms developed by data scientists and turning them into reliable, high-performance software in C++ and Python. Day-to-day work spans building training pipelines and ML infrastructure, deploying AI workloads across edge and cloud environments, and developing LLM-based applications and agentic workflows. It suits an engineer with 3–5 years of production ML experience who is comfortable owning the full path from prototype to deployed system.
Mid level · 3+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 21,700 people nationally plausibly meet what this posting asks for (software developers). range 9,100–32,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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).
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 caller has instructed remote=true and no metro, overriding the posting's explicit statement that 'This is NOT a fully remote position.' This override has been applied as directed.
The posting states candidates must be legally authorized to work in the US without employer sponsorship and 'may be required to obtain and maintain a U.S. government security clearance in the future.' Because clearance is framed as a future possibility rather than a current hard gate, the clearance requirement is set to None.
Degree requirement is Bachelors — the posting lists 'BS, MS, or PhD' as required with no equivalent-experience escape hatch, so the minimum (BS) is captured.
Total experience is stated as '3-5 years'; the minimum (3) is used.
Radar/RF sensing, sensor fusion, computer vision, robotics, autonomous systems, embedded systems, GPUs, NPUs, and FPGAs all appear under 'Bonus Points' and are treated as preferred; none are emitted as named skills because the posting frames them as domain-familiarity bonuses rather than concrete tool requirements.
The role sits between Software Developers (15-1252) and Data Scientists (15-2051); the primary emphasis on productionizing algorithms in C++/Python and building ML infrastructure tips it toward 15-1252, with 15-2051 as the runner-up.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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