Senior Machine Learning Engineer at Freenome
Brisbane, CA
$161,925–$227,325from the description
Jul 15, 2026
Brisbane, CA
Jul 21, 2026
What this job asks for AI summary
This role sits within a computational science team and focuses on building and maintaining the infrastructure that supports large-scale deep learning model development using genomic data. Day-to-day work involves designing distributed training pipelines, optimizing hardware utilization, managing large datasets in cloud environments, and collaborating with ML scientists and computational biologists. It suits an engineer with a strong background in ML systems, distributed computing, and cloud-based AI/ML pipeline development.
Senior level · 5+ years · Remote · 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 1,750 people nationally plausibly meet what this posting asks for (software developers). range 1,050–3,800
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
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 (9)
The role is classified as Software Developers (15-1252) rather than Data Scientists (15-2051) because the primary day-to-day work is building and deploying ML infrastructure, distributed training pipelines, and engineering systems — not conducting ML research or modeling directly. The alt code 15-2051 reflects the meaningful ML science collaboration and DL model optimization work.
The MS degree requirement is listed under 'Must haves' but is explicitly qualified with 'or equivalent experience', so the degree requirement is set to None.
The 5+ years of experience is stated as post-MS industry experience in the Must haves section.
Ray and DeepSpeed are listed as interchangeable examples of distributed computing platforms; TensorBoard, Weights & Biases (Wandb), and MLflow are listed as interchangeable ML developer tools — each pair is captured as one skill with alternatives.
HDFS and Parquet are listed as alternative data storage approaches; PyArrow and Spark are listed as interchangeable data processing libraries/executors.
Infrastructure-as-code (listed under Nice to have) is represented by Terraform as the canonical tool, since no specific tool was named in the posting.
The role is hybrid (Brisbane, CA HQ, 2–3 days/week) or fully remote; remote is set to true since the posting explicitly offers a fully remote option.
Compensation includes equity and cash bonuses in addition to the stated base salary range.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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