AI Research Junior Engineer
Location:Silicon Valley (Onsite) Type:Full-time Visa Sponsorship:No
What youll do
Work with the data science team on ML modeling: signal extraction classification trend
prediction or evaluation framework development.
Build and evaluate models on large structured and unstructured datasets.
Apply NLP methods to real-world corpora; document methodology and results clearly.
Present findings to the team with data.
Own a model or pipeline end-to-end contribute to production and operate with higher
independence.
What we require
Enrolled in or recently completed a BS or MS in Statistics Computer Science Applied
Mathematics or a quantitative field. Strong GPA required.
Prior experience applying ML or NLP to real data research internship or independent
project with verifiable output required.
Proficiency in Python and standard data science libraries (pandas scikit-learn PyTorchor equivalent).
Familiarity with text classification embeddings or semantic search is a strong plus.
1-2 years of post-degree or equivalent industry experience; demonstrated ability to ship.
Authorized to work in the US without current or future employer sponsorship. No
OPT/CPT arrangements sponsored.
AI Research Junior Engineer Location:Silicon Valley (Onsite) Type:Full-time Visa Sponsorship:No What youll do Work with the data science team on ML modeling: signal extraction classification trend prediction or evaluation framework development. Build and evaluate models on large structured and unst...
AI Research Junior Engineer
Location:Silicon Valley (Onsite) Type:Full-time Visa Sponsorship:No
What youll do
Work with the data science team on ML modeling: signal extraction classification trend
prediction or evaluation framework development.
Build and evaluate models on large structured and unstructured datasets.
Apply NLP methods to real-world corpora; document methodology and results clearly.
Present findings to the team with data.
Own a model or pipeline end-to-end contribute to production and operate with higher
independence.
What we require
Enrolled in or recently completed a BS or MS in Statistics Computer Science Applied
Mathematics or a quantitative field. Strong GPA required.
Prior experience applying ML or NLP to real data research internship or independent
project with verifiable output required.
Proficiency in Python and standard data science libraries (pandas scikit-learn PyTorchor equivalent).
Familiarity with text classification embeddings or semantic search is a strong plus.
1-2 years of post-degree or equivalent industry experience; demonstrated ability to ship.
Authorized to work in the US without current or future employer sponsorship. No
OPT/CPT arrangements sponsored.
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