Über
Attune Location:
West Loop, Chicago, IL (Hybrid —
3 days/week in office ) Type:
Full‑time 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 What sets this role apart:
You'll specialize in creating highly optimized, domain-specific conversational AI models by fine-tuning and compressing existing LLMs and specialized conversational architectures for specific use cases. We need someone who can rapidly research, prototype, and deploy smaller, faster, cheaper models that outperform general-purpose solutions in conversational settings - achieving 10x speed improvements and 90% cost reductions while building efficient pipelines for intent classification, dialogue management, and text-based optimization systems that improve conversational quality of our dialogue systems. Key Responsibilities Advanced Model Optimization & Fine Tuning Apply LoRA, QLoRA, DPO, RLHF and parameter-efficient methods to create smaller, faster models optimized for conversational contexts Implement quantization, pruning, knowledge distillation to significantly reduce model size while preserving quality Work with modern conversational architectures: DeBERTa, SetFit, sentence transformers, lightweight decoder models for domain-specific use cases Rapidly evaluate and adapt latest research for conversational applications 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. Dialogue Management 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. Innovation & Research 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 Advanced Fine-tuning & Model Compression: Proven experience with parameter-efficient fine-tuning techniques (LoRA, QLoRA, adapters) for conversational applications Knowledge of few-shot learning frameworks for conversational tasks with limited data Experience with model compression techniques (quantization GPTQ/AWQ, pruning, knowledge distillation) for real-time inference 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. MLOps & Infra:
Kubernetes (AWS EKS), Helm, Terraform, MLflow / SageMaker, model-aware CI/CD, feature stores, GPU scheduling, autoscaling. 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
(Data Science/Engineering owns sprint tickets; product owns the
what/why
and outcomes). Bias to
prototype → validate → build ; instrument everything; learn fast. 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. Compensation & benefits: Competitive base + equity; comprehensive health benefits; flexible PTO. Attune 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. Lead With Empathy -
Attune designs technology that listens first and responds with compassion and precision. Every interaction reflects genuine understanding and care for patients, providers, and partners. Trust Is Earned - Trust is built through openness, clarity, and reliability. Attune upholds the highest standards of privacy, security, and communication, ensuring confidence in every exchange. Work in Harmony -
Collaboration drives progress. Attune aligns patients, care organizations, and technology partners to create seamless, unified systems that work together toward better outcomes. Prioritize Outcomes -
Success is measured by impact, not activity. Attune focuses on closing care gaps, improving experiences, and advancing meaningful health outcomes. Innovate With Integrity -
Attune advances AI responsibly, creating solutions that amplify human expertise without losing the human touch. Innovation always serves people first. Expand Access -
Care should be easy to reach and equitable for all. Attune’s technology removes barriers, expands access, and ensures every patient can connect with care when it matters most. Attune 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.
Sprachkenntnisse
- English
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