RainesDev
Senior Machine Learning Engineer
This is the job description rewritten to be highly secretive and difficult to trace to the original company, "Reacher." All proprietary names, specific platforms (TikTok Shop, Hubspot, Under Armour, Hanes, etc.), and concrete growth metrics (7 figures ARR) have been generalized or removed.
About the Company We are a rapidly scaling, post-revenue technology company building foundational infrastructure for the
creator economy . Our platform connects major global brands and content creators, powering commerce and growth across various digital channels (e-commerce platforms, video sharing sites, social commerce).
We are implementing
cutting-edge AI
to solve complex problems for some of the world\'s largest companies and creators. We have a highly engaged and responsive user base that depends on our product daily, meaning your work will have a
direct and immediate impact .
What You'll Do You will be a core contributor, owning ML systems end-to-end: research, prototype, train, deploy, and iterate rapidly.
Build
multimodal ML systems
for analyzing large-scale video, text, images, and audio data.
Design and deploy advanced
Large Language Model (LLM)-powered applications
using modern Retrieval-Augmented Generation (RAG) and external AI APIs.
Develop robust
content understanding and classification models
for text and visual data.
Create sophisticated
search and discovery systems
using embeddings and semantic retrieval.
Construct
audio analysis and processing pipelines .
Establish and enhance our
MLOps infrastructure : data pipelines, model serving, monitoring, and experiment tracking.
Work closely with product teams and customers to
translate vague requirements into shippable ML solutions .
You're a Fit If
You have
4–8 years of ML engineering experience
deploying models in production.
You have
strong Python and ML fundamentals
and write clean, maintainable production code.
You have successfully
built ML models end-to-end : data pipelines, training, serving, and monitoring.
You have
production experience with LLMs and AI APIs
(e.g., Anthropic, OpenAI).
You are comfortable building ML systems across
multiple domains —NLP, computer vision, and audio.
You are
product-minded
and identify where ML can solve user problems and improve business metrics.
ML & AI-Specific Skills We Value
Deep Learning:
Experience with neural networks, transformers, and CNNs.
NLP/LLMs:
RAG systems, prompt engineering, vector databases, fine-tuning, and modern orchestration tools.
Computer Vision:
Image classification, object detection, visual content understanding, and image embeddings.
Search & Retrieval:
Semantic search, embedding models, and multimodal retrieval.
MLOps:
Model serving, monitoring, and experiment tracking (e.g., MLflow).
Cloud ML:
Comfortable with major cloud platforms (AWS or GCP) for model deployment and scalable inference.
Why Join Us
Be the
ML/AI leader —define our ML strategy and infrastructure as we scale.
Your models reach users
within days, not months .
Work on diverse, high-impact ML problems across video, language, and audio.
Opportunity to be an
early ML hire
in a strong engineering-first culture.
High autonomy and visibility —no boring tickets.
#J-18808-Ljbffr
About the Company We are a rapidly scaling, post-revenue technology company building foundational infrastructure for the
creator economy . Our platform connects major global brands and content creators, powering commerce and growth across various digital channels (e-commerce platforms, video sharing sites, social commerce).
We are implementing
cutting-edge AI
to solve complex problems for some of the world\'s largest companies and creators. We have a highly engaged and responsive user base that depends on our product daily, meaning your work will have a
direct and immediate impact .
What You'll Do You will be a core contributor, owning ML systems end-to-end: research, prototype, train, deploy, and iterate rapidly.
Build
multimodal ML systems
for analyzing large-scale video, text, images, and audio data.
Design and deploy advanced
Large Language Model (LLM)-powered applications
using modern Retrieval-Augmented Generation (RAG) and external AI APIs.
Develop robust
content understanding and classification models
for text and visual data.
Create sophisticated
search and discovery systems
using embeddings and semantic retrieval.
Construct
audio analysis and processing pipelines .
Establish and enhance our
MLOps infrastructure : data pipelines, model serving, monitoring, and experiment tracking.
Work closely with product teams and customers to
translate vague requirements into shippable ML solutions .
You're a Fit If
You have
4–8 years of ML engineering experience
deploying models in production.
You have
strong Python and ML fundamentals
and write clean, maintainable production code.
You have successfully
built ML models end-to-end : data pipelines, training, serving, and monitoring.
You have
production experience with LLMs and AI APIs
(e.g., Anthropic, OpenAI).
You are comfortable building ML systems across
multiple domains —NLP, computer vision, and audio.
You are
product-minded
and identify where ML can solve user problems and improve business metrics.
ML & AI-Specific Skills We Value
Deep Learning:
Experience with neural networks, transformers, and CNNs.
NLP/LLMs:
RAG systems, prompt engineering, vector databases, fine-tuning, and modern orchestration tools.
Computer Vision:
Image classification, object detection, visual content understanding, and image embeddings.
Search & Retrieval:
Semantic search, embedding models, and multimodal retrieval.
MLOps:
Model serving, monitoring, and experiment tracking (e.g., MLflow).
Cloud ML:
Comfortable with major cloud platforms (AWS or GCP) for model deployment and scalable inference.
Why Join Us
Be the
ML/AI leader —define our ML strategy and infrastructure as we scale.
Your models reach users
within days, not months .
Work on diverse, high-impact ML problems across video, language, and audio.
Opportunity to be an
early ML hire
in a strong engineering-first culture.
High autonomy and visibility —no boring tickets.
#J-18808-Ljbffr