XSELL Technologies
Get AI-powered advice on this job and more exclusive features.
This range is provided by XSELL Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$140,000.00/yr - $180,000.00/yr Direct message the job poster from XSELL Technologies HR Director | Driving People Strategy, Talent Growth & Culture Transformation | Partner to Leaders | Advocate for High-Impact Teams
Job Summary We’re looking for a hands-on, entrepreneurial
Senior Machine Learning Engineer
who has already taken
voice-centric AI systems (TTS, STT, LLM-driven dialog)
from prototype to
planet-scale production . You will own the full lifecycle of our ML stack—research, data pipelines, training, evaluation, deployment, and relentless optimisation—so that millions of patients can have natural, sub-second conversations with our Agentic Voice platform. You’ll collaborate tightly with product, infra, and compliance teams, set a high technical bar for ML excellence Key Responsibilities End-to-End ML Engineering Design, build, and maintain high-performing STT, TTS, and LLM pipelines that operate at
Train and fine-tune smaller, task specific LLMs optimized for accuracy, latency and cost efficiency in real time applications. Inference at Scale Optimise GPU- and CPU-based serving on EKS / Kubernetes using techniques such as dynamic batching, quantisation, speculative decoding, and streaming gRPC / WebSockets. Implement and extend LangGraph / LangChain flows and Model Context Protocol (MCP) schemas to orchestrate complex multi-turn healthcare conversations safely and compliantly. Data & Evaluation Build robust data pipelines (Kafka → Snowflake / S3) for conversation logs; design offline and online evaluation frameworks for ASR/WER, TTS MOS, and task-completion metrics. Technical Leadership Establish ML best practices—versioning, monitoring, A/B gating, CICD for models—and mentor engineers on ML ops, audio processing, and prompt engineering. Cross-Functional Collaboration Work daily with product managers, designers, compliance leads, and customer teams to translate business goals into scalable voice experiences. Stay on the cutting edge of open-source speech and LLM research; run rapid POCs (e.g., Whisper-v3, Bark), explore efficient fine tuning techniques(e.g. LORA, DPO), and continuously improve model performance in production environments. Reliability & Compliance Ensure HIPAA-grade security, auditable PHI handling, guardrails, and fallback strategies to keep conversations safe and reliable 24 × 7. Qualifications Education B.S. or M.S. in Computer Science, Machine Learning, or related field. Experience 7+ years
building production ML systems,
2+
specifically in speech / conversational AI. Proven track record shipping
voice AI
or
large-scale LLM
products to tens-of-millions of users or thousands of concurrent sessions. Technical Expertise Speech:
Deep understanding of ASR (e.g., Whisper, NeMo, Kaldi) and TTS (e.g., Tacotron, FastSpeech, VITS) model internals and evaluation. LLMs & Dialogue:
Experience with GPT-class models, fine-tuning, RAG, LangGraph, LangChain, MCP, prompt-engineering and safety guardrails. Languages:
Expert in Python; proficiency in TypeScript / Node and/or Java is a plus. Data:
Kafka, Redis, Postgres, Snowflake; designing real-time and batch pipelines for audio and text. Protocols:
gRPC, WebSockets, HTTP/2 streaming, RTP/WebRTC. Security & Compliance:
Experience securing PHI/PII, HIPAA/HITRUST controls, and SOC2 processes. Soft Skills: Product Mindset:
Proven ability to make strategic product decisions with a focus on user needs and business impact. Entrepreneurial:
Experience taking ideas all the way from ideation to execution. Instead of waiting for tasks, you’re proactively identifying areas of opportunity and building them out. Leadership Skills:
Demonstrated experience in leading technical teams and mentoring engineers. Problem-Solving:
Excellent analytical and problem-solving abilities. Communication:
Strong verbal and written communication skills; ability to articulate complex technical concepts to non-technical stakeholders. How we work: Small, cross‑functional pods with a
tech lead
(engineering owns sprint tickets; product owns the
what/why
and outcomes). High autonomy, high bar, candid feedback, low politics. Hybrid:
3 days/week in our
West Loop
office; occasional travel for customer meetings and team onsites. XSELL is committed to a culture of teamwork; where everyone works together to plan, do, learn, and continuously improve. We accomplish that by staying true to our core values. Best Chapter : Every XSELLer is plugged in and focused on writing their “best chapter yet”, both personally and professionally. We believe in working hard to achieve success, but that success only comes if we are doing it together. We do this with a high level of humility, integrity, and compassion towards our coworkers. We celebrate and recognize each other and have a lot of fun along the way. Know Us By Our Results:
We do what we say and say what we do. Our coworkers and clients will “know us by our results” – we welcome that and embrace transparency and measurement. Do It The XSELL Way:
Together we are building an inclusive culture full of top-performing, talented people that are striving towards common goals with resilience. People will admire not only the work we do but also that we “do it the XSELL way” – as one team. We do this through strong communication, collaboration, and accountability to each other. Open for Business:
We are always “open for business” – fiercely committed to improving ourselves, our team, and our company. We stay curious and approach every situation as an opportunity to learn and grow. Conversations Happen In the Room:
Feedback is imperative to our collective success. We approach the “conversation in the room” with respect, empathy, and candor. Our dialogue with each other is always open and honest. XSELL Technologies is an Equal Employment Opportunity Employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We are committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact us. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at XSELL Technologies by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Machine Learning Engineer jobs in
Chicago, IL . Chicago, IL $111,500.00-$191,950.00 2 days ago Artificial Intelligence/Machine Learning (AI/ML) Engineer
Chicago, IL $135,000.00-$175,000.00 1 week ago Chicago, IL $93,840.00-$140,760.00 6 days ago Chicago, IL $88,800.00-$165,600.00 2 weeks ago Chicago, IL $79,300.00-$127,000.00 1 day ago Chicago, IL $140,000.00-$180,000.00 20 hours ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Chicago, IL $120,000.00-$120,000.00 2 weeks ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Software Engineer (New or Recent Graduate)
Chicago, IL $63,300.00-$117,200.00 3 days ago Chicago, IL $160,000.00-$175,000.00 2 weeks ago Chicago, IL $70,000.00-$100,000.00 1 week ago Chicago, IL $95,800.00-$159,600.00 2 days ago Chicago, IL $80,000.00-$100,000.00 1 week ago Chicago, IL $85,000.00-$120,000.00 2 hours ago Chicago, IL $150,000.00-$300,000.00 6 days ago Data Scientist, Campus, United States - BCG X
Chicago, IL $110,000.00-$160,000.00 3 days ago Chicago, IL $135,000.00-$170,000.00 2 weeks ago Chicago, IL $135,000.00-$170,000.00 2 weeks ago Chicago, IL $200,000.00-$225,000.00 1 week ago Quantum Software Engineer - Machine Learning
Chicago, IL $115,000.00-$145,000.00 4 weeks ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Chicago, IL $140,000.00-$240,000.00 1 week ago Chicago, IL $75,000.00-$95,000.00 1 week ago Chicago, IL $68,000.00-$110,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
$140,000.00/yr - $180,000.00/yr Direct message the job poster from XSELL Technologies HR Director | Driving People Strategy, Talent Growth & Culture Transformation | Partner to Leaders | Advocate for High-Impact Teams
Job Summary We’re looking for a hands-on, entrepreneurial
Senior Machine Learning Engineer
who has already taken
voice-centric AI systems (TTS, STT, LLM-driven dialog)
from prototype to
planet-scale production . You will own the full lifecycle of our ML stack—research, data pipelines, training, evaluation, deployment, and relentless optimisation—so that millions of patients can have natural, sub-second conversations with our Agentic Voice platform. You’ll collaborate tightly with product, infra, and compliance teams, set a high technical bar for ML excellence Key Responsibilities End-to-End ML Engineering Design, build, and maintain high-performing STT, TTS, and LLM pipelines that operate at
Train and fine-tune smaller, task specific LLMs optimized for accuracy, latency and cost efficiency in real time applications. Inference at Scale Optimise GPU- and CPU-based serving on EKS / Kubernetes using techniques such as dynamic batching, quantisation, speculative decoding, and streaming gRPC / WebSockets. Implement and extend LangGraph / LangChain flows and Model Context Protocol (MCP) schemas to orchestrate complex multi-turn healthcare conversations safely and compliantly. Data & Evaluation Build robust data pipelines (Kafka → Snowflake / S3) for conversation logs; design offline and online evaluation frameworks for ASR/WER, TTS MOS, and task-completion metrics. Technical Leadership Establish ML best practices—versioning, monitoring, A/B gating, CICD for models—and mentor engineers on ML ops, audio processing, and prompt engineering. Cross-Functional Collaboration Work daily with product managers, designers, compliance leads, and customer teams to translate business goals into scalable voice experiences. Stay on the cutting edge of open-source speech and LLM research; run rapid POCs (e.g., Whisper-v3, Bark), explore efficient fine tuning techniques(e.g. LORA, DPO), and continuously improve model performance in production environments. Reliability & Compliance Ensure HIPAA-grade security, auditable PHI handling, guardrails, and fallback strategies to keep conversations safe and reliable 24 × 7. Qualifications Education B.S. or M.S. in Computer Science, Machine Learning, or related field. Experience 7+ years
building production ML systems,
2+
specifically in speech / conversational AI. Proven track record shipping
voice AI
or
large-scale LLM
products to tens-of-millions of users or thousands of concurrent sessions. Technical Expertise Speech:
Deep understanding of ASR (e.g., Whisper, NeMo, Kaldi) and TTS (e.g., Tacotron, FastSpeech, VITS) model internals and evaluation. LLMs & Dialogue:
Experience with GPT-class models, fine-tuning, RAG, LangGraph, LangChain, MCP, prompt-engineering and safety guardrails. Languages:
Expert in Python; proficiency in TypeScript / Node and/or Java is a plus. Data:
Kafka, Redis, Postgres, Snowflake; designing real-time and batch pipelines for audio and text. Protocols:
gRPC, WebSockets, HTTP/2 streaming, RTP/WebRTC. Security & Compliance:
Experience securing PHI/PII, HIPAA/HITRUST controls, and SOC2 processes. Soft Skills: Product Mindset:
Proven ability to make strategic product decisions with a focus on user needs and business impact. Entrepreneurial:
Experience taking ideas all the way from ideation to execution. Instead of waiting for tasks, you’re proactively identifying areas of opportunity and building them out. Leadership Skills:
Demonstrated experience in leading technical teams and mentoring engineers. Problem-Solving:
Excellent analytical and problem-solving abilities. Communication:
Strong verbal and written communication skills; ability to articulate complex technical concepts to non-technical stakeholders. How we work: Small, cross‑functional pods with a
tech lead
(engineering owns sprint tickets; product owns the
what/why
and outcomes). High autonomy, high bar, candid feedback, low politics. Hybrid:
3 days/week in our
West Loop
office; occasional travel for customer meetings and team onsites. XSELL is committed to a culture of teamwork; where everyone works together to plan, do, learn, and continuously improve. We accomplish that by staying true to our core values. Best Chapter : Every XSELLer is plugged in and focused on writing their “best chapter yet”, both personally and professionally. We believe in working hard to achieve success, but that success only comes if we are doing it together. We do this with a high level of humility, integrity, and compassion towards our coworkers. We celebrate and recognize each other and have a lot of fun along the way. Know Us By Our Results:
We do what we say and say what we do. Our coworkers and clients will “know us by our results” – we welcome that and embrace transparency and measurement. Do It The XSELL Way:
Together we are building an inclusive culture full of top-performing, talented people that are striving towards common goals with resilience. People will admire not only the work we do but also that we “do it the XSELL way” – as one team. We do this through strong communication, collaboration, and accountability to each other. Open for Business:
We are always “open for business” – fiercely committed to improving ourselves, our team, and our company. We stay curious and approach every situation as an opportunity to learn and grow. Conversations Happen In the Room:
Feedback is imperative to our collective success. We approach the “conversation in the room” with respect, empathy, and candor. Our dialogue with each other is always open and honest. XSELL Technologies is an Equal Employment Opportunity Employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We are committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact us. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at XSELL Technologies by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Machine Learning Engineer jobs in
Chicago, IL . Chicago, IL $111,500.00-$191,950.00 2 days ago Artificial Intelligence/Machine Learning (AI/ML) Engineer
Chicago, IL $135,000.00-$175,000.00 1 week ago Chicago, IL $93,840.00-$140,760.00 6 days ago Chicago, IL $88,800.00-$165,600.00 2 weeks ago Chicago, IL $79,300.00-$127,000.00 1 day ago Chicago, IL $140,000.00-$180,000.00 20 hours ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Chicago, IL $120,000.00-$120,000.00 2 weeks ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Software Engineer (New or Recent Graduate)
Chicago, IL $63,300.00-$117,200.00 3 days ago Chicago, IL $160,000.00-$175,000.00 2 weeks ago Chicago, IL $70,000.00-$100,000.00 1 week ago Chicago, IL $95,800.00-$159,600.00 2 days ago Chicago, IL $80,000.00-$100,000.00 1 week ago Chicago, IL $85,000.00-$120,000.00 2 hours ago Chicago, IL $150,000.00-$300,000.00 6 days ago Data Scientist, Campus, United States - BCG X
Chicago, IL $110,000.00-$160,000.00 3 days ago Chicago, IL $135,000.00-$170,000.00 2 weeks ago Chicago, IL $135,000.00-$170,000.00 2 weeks ago Chicago, IL $200,000.00-$225,000.00 1 week ago Quantum Software Engineer - Machine Learning
Chicago, IL $115,000.00-$145,000.00 4 weeks ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Chicago, IL $140,000.00-$240,000.00 1 week ago Chicago, IL $75,000.00-$95,000.00 1 week ago Chicago, IL $68,000.00-$110,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr