Machine Learning Engineer
Gotion, Inc. · Fremont, CA
$80,000–$90,000from the description
Jul 23, 2026
Fremont, CA
Jul 24, 2026
What this job asks for AI summary
A machine learning engineering role focused on designing and building ML and deep learning models from scratch for battery and energy storage research. Day-to-day work involves prototyping architectures — including Transformers and LLMs — running experiments and benchmarking, and working alongside battery scientists to embed physical or electrochemical knowledge into models. Best suited to a research-oriented ML practitioner with a graduate degree and experience on scientific or time-series data.
Mid level · Kankakee, IL · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 780 people in CA plausibly meet what this posting asks for (data scientists). range 470–1,150
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 $108,903 (middle half $86,471–$140,309). 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 titled 'Machine Learning Engineer' with no seniority level in the title; advertised seniority is Unspecified. The scope (novel model design, experimentation, collaboration with domain experts) and the M.S./Ph.D. requirement support a Mid-level band — there is no stated years-of-experience floor and no org-wide technical authority implied.
Degree requirement: the JD states 'Ph.D. (preferred) or M.S.' — Ph.D. is preferred but M.S. is the stated minimum hard gate, so the degree requirement is set to Masters.
PyTorch and TensorFlow are listed together as interchangeable examples ('PyTorch, TensorFlow, etc.'); emitted as one skill with TensorFlow in alternatives.
Deep learning is listed as a concrete modeling discipline the role is gated on (designing and implementing deep learning models is an essential duty), so it is captured as a required skill.
Transformers and LLMs appear in the duties section ('Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs') rather than a hard-requirements block; marked as preferred.
Experience with scientific/time-series datasets (battery, materials, energy domains) is explicitly called 'highly desirable' — not a hard gate; omitted as it names no specific tool or technology.
Publication record in top-tier ML conferences (NeurIPS, ICML, ICLR, CVPR) is called 'a strong plus' — preferred and names no concrete technology, so omitted per guidelines.
The role is fully on-site in Manteno, IL. Manteno falls within the Kankakee, IL CBSA (29404).
Compensation: $80,000–$90,000/year base + 15% bonus + benefits, as stated.
Read the full posting
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