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Assistant Machine Learning R Jobs in Illinois (NOW HIRING)

Sr. Machine Learning Engineer

Chicago, IL · On-site

$107.60K - $147.80K/yr

... Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

Artificial Intelligence And Machine Learning Solutions Developer You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a ...

Senior AI & ML Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

... machine learning, deep learning, information retrieval, natural languageprocessingor data mining preferred. * Applicable certifications preferred. #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA is ...

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

... machine learning, deep learning, information retrieval, natural language processing or data mining preferred. * Applicable certifications preferred. #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA ...

Proficiency in Python, Java, or R, Golang * Machine Learning Frameworks : Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn . * Concepts: Deep understanding of machine ...

Develop and maintain continuous integration and delivery pipelines for machine learning models ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

IL · On-site

... machine-learning models, workflows and tools. You will also lead or assist is developing and ... Deploy, monitor, and update models in production, and languages and frameworks such as Python, R ...

... machine learning models to identify quality risks, supplier performance trends, and warranty ... R, or similar languages) to support advanced analytics and modeling initiatives. • Working ...

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Assistant Machine Learning R information

What are the most commonly searched types of Machine Learning R jobs in Illinois? The most popular types of Machine Learning R jobs in Illinois are:
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Sr. Machine Learning Engineer

AppFolio

Chicago, IL • On-site

$107.60K - $147.80K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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