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Virtual Aws Machine Learning Jobs in Illinois (NOW HIRING)

AppFolio

Sr. Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.

Cccis

Senior Manager - Machine Learning

Chicago, IL · On-site

The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · On-site

$126K - $166K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments ...

Deloitte

Forward Deployed Engineer- AWS

Chicago, IL

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Accenture

AWS (AABG) Mid-Market Technical Architect

Chicago, IL · On-site

$66.75 - $87.50/hr

... machine learning, and generative AI implementations. * Conduct independent quality assessments and architecture reviews of in-flight projects to evaluate solution soundness, adherence to enterprise ...

Deloitte

Cyber - AWS Cloud Security - Manager

Chicago, IL

$114K - $154K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Machine Learning Techniques * Text Mining * AI and GenAI Techniques Tools & Technologies * Jupyter Notebooks * AWS * Snowflake * Agile Methodology #J-18808-Ljbffr

New

CDW

Principal Consultant-AWS

Vernon Hills, IL

Description The AWS Principal Consultant engages with clients and internal teams to provide design ... Deep understanding of AI and machine learning algorithms, including supervised learning ...

CDW

Principal Consultant- AWS

Vernon Hills, IL

Description The AWS Principal Consultant engages with clients and internal teams to provide design ... Deep understanding of AI and machine learning algorithms, including supervised learning ...

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Requirements 3+ years of experience as a Data Engineer, with a focus on AI or machine learning data ... Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS. What are ...

Sonsoft Inc

AWS/Cloud Infrastructure

Chicago, IL · On-site

Amazon AWS , Azure, OpenStack, CloudFoundry, Mesos and Docker. * Experience in multiple cloud ... Azure Virtual Machines, Blob Storage, Azure SQL Database, StorSimple, Azure DNS, Virtual Network ...

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Sr. Machine Learning Engineer

AppFolio

Chicago, IL

$107K - $147K/yr

Full-time

Re-posted 12 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 244 rated software companies

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. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
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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