Natural Language Understanding

Natural Language Understanding Data Jobs

2 jobs found

1mo ago

Machine Learning Engineer, Natural Language Understanding, Proactive

Apple Santa Clara, CA

Santa Clara, CA

1mo ago Closed

$150k - $278k/yr Full time Ai Ml Artificial Intelligence Deep Learning

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Apple’s On-Device Query Understanding team is seeking a Machine Learning Engineer to research, design, implement, and evaluate machine learning models for personalized query understanding. The work supports search and assistant experiences across Apple products, with an emphasis on LLM/NLU approaches and inference optimization to achieve fast, power-efficient performance on-device.

What You’ll Do

Research, design, implement, and evaluate models that advance personalized query understanding, including user intent resolution, retrieval, and ranking.
Use natural language processing, deep learning, and large language model techniques to deliver grounded, contextually relevant responses.
Assess performance gaps in existing search and assistant systems and develop algorithms to improve model quality and key product outcomes.
Define the long-term technical vision for the team, propose roadmaps, and set measurable objectives.
Collaborate with cross-functional partners to define product requirements, establish evaluation metrics, and maximize user satisfaction.

Required Qualifications

4 or more years of experience in machine learning, natural language processing, or computer vision applied at scale.
Production software engineering experience using one or more of the following: Python, Go, C/C++, Swift, or Objective-C.
Strong communication and collaboration skills.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Physics, Mathematics, or a related field.

Preferred Qualifications

Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, or a related field, or equivalent industry experience.
Experience with Small Language Models (SLMs) and on-device LLM training, including model compression/quantization and production deployment.
Experience with large-scale query understanding, search, recommendation, or personal assistant systems.
Proficiency with machine learning frameworks such as PyTorch, JAX, TensorFlow, or XGBoost.
Background in personalization and data-driven decision making, including the ability to prototype solutions and conduct critical analysis.
Experience with Swift, Swift frameworks, or Apple platform development is a plus.
Experience with build infrastructure, release management, and CI/CD pipelines is a plus.

Key Technologies

Large Language Models (LLMs), Natural Language Understanding (NLU)
Machine learning inference optimization
PyTorch, JAX, TensorFlow, XGBoost
Swift, Objective-C
Small Language Models (SLMs), model compression/quantization
Python, Go, C/C++

Compensation & Benefits

The base pay range for this role is USD 150,400 to 277,600 per year.

Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Reimbursement for certain educational expenses, including tuition.
Discretionary bonuses or commission payments, and relocation may be eligible.
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
Eligibility for discretionary restricted stock unit awards.
Option to purchase Apple stock at a discount by voluntarily participating in Apple’s Employee Stock Purchase Plan.

Additional information about Apple Benefits is available through Apple.

Role Details

Location: Santa Clara, CA (onsite)
Experience: 4+ years
Salary: USD 150,400 - 277,600 per yearly

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1mo ago

Senior AI Engineer — Conversational Voice AI

SmartAdvocate Remote 🇺🇸 Remote

Remote

1mo ago Closed

$120k - $160k/yr Full time Backend Developer Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 29, 2026).

Job Description

SmartAdvocate is hiring a Senior AI Engineer to build and operate enterprise conversational voice AI agents for legal case intake and client calls.

Responsibilities

Architect, build, and deploy conversational voice agents for callers, leads, and clients.
Integrate conversational agents with VoIP/SIP and cloud communications platforms including Twilio, Plivo, Amazon Connect, and LiveKit.
Support real customer telephony topologies: call forwarding, conferencing an SA number onto a live call, and full number porting.
Handle live-call dynamics such as barge-in and turn-taking, interruptions, poor reception, accents, and background noise.
Optimize real-time performance across STT, TTS, NLU, and latency budgets; tune voices for naturalness.
Design warm transfer and escalation workflows to hand calls to humans with full context, including routing high-value or urgent situations immediately.
Build real-time pipelines that transcribe, parse, and structure conversations to populate case fields, create intake records, update case notes, and trigger downstream workflows.
Record and summarize every call into the case file with clear provenance for agent-provided content.
Detect caller language and respond in it, with Spanish prioritized after English.
Implement caller identification and authentication before any case information is disclosed (caller ID alone is not identity).
Make agent behavior configurable per firm, including operating hours and after-hours coverage, outbound calling windows by callee type and time zone, escalation rules, and voice selection.
Add guardrails, fallbacks, structured logging, and call/transcript retention designed for audit readiness.
Own production operations end-to-end: latency budgets, monitoring, alerting, failover, and on-call. Treat a law firm’s main phone line as an availability-critical system.

Requirements

Production experience building conversational voice agents integrated with telephony infrastructure such as SIP/RTP, WebRTC, Twilio Media Streams, LiveKit, Deepgram, ElevenLabs, Vapi, Retell, or similar.
Real-time audio pipeline engineering experience with streaming STT and TTS, sub-second response handling, concurrency, and latency profiling under load.
Pipeline engineering for extracting structured JSON or database payloads from live audio streams.
Python service development strength (FastAPI/async or equivalent) and clean REST API design.
Production-grade LLM integration, including function/tool calling, structured outputs, prompt/context engineering, and cost and latency tuning.
Event-driven and asynchronous patterns including queues, background workers, retries, and idempotency.
Systematic evaluation of conversational quality using test suites, transcript review, and regression testing when prompts or models change.
Production ownership experience including containerized deployment, CI/CD, monitoring, structured logging, and personally debugging a live outage.

Technologies

VoIP/SIP, Twilio, Plivo, Amazon Connect, LiveKit
SIP/RTP, WebRTC, Twilio Media Streams
Deepgram, ElevenLabs, Vapi, Retell
STT, TTS, NLU
FastAPI, Python
LLM, JSON, REST API
CI/CD, queues

Benefits

Salary range: USD 120,000 - 160,000 per year
Comprehensive benefits package
401(k) and 401(k) matching
Dental insurance
Flexible spending account
Health insurance and health savings account
Life insurance
Paid time off
Parental leave
Vision insurance
Reports to the CTO; works with the existing AI Architect and AI development team
Location: Remote (US) or Hybrid in Melville, NY
Opportunity to lead high-impact AI work on an established platform with real customers, real data, and unsolved problems in legal tech

Safety, Configuration and Operations

Design caller identification and authentication before disclosing any case information; caller ID alone is not identity.
Configure behavior per firm: operating hours and after-hours coverage, outbound calling windows by callee type and time zone, escalation rules, and voice selection.
Implement guardrails, fallbacks, structured logging, and call/transcript retention suitable for an audit.
Own production service reliability including latency budgets, monitoring, alerting, failover, and on-call support.

Nice to Have

Telephony compliance: state call-recording and consent law, TCPA, permitted calling windows, spam-labeling, and verified-number strategy.
Experience with C#, .NET / ASP.NET and Microsoft SQL Server (core platform), while AI services are Python.
Experience in regulated industries such as legal, medical, insurance, or similar.
Multi-language voice development with Spanish as the priority.
Caller authentication patterns including callback-to-number-on-file and PIN or knowledge-based verification.
Understanding of HIPAA, PHI handling, and attorney-client privilege constraints for AI applications.
Working knowledge of voice AI unit economics such as per-minute cost, model selection, and cost-per-call optimization.

Live Data Extraction and Write-Back

Build real-time pipelines to transcribe, parse, and structure conversations into case fields, intake records, case notes, and downstream workflows.
Record and summarize every call into the case file with clear provenance for agent-entered information.
Detect caller language and respond in it, with Spanish prioritized after English.

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Natural Language Understanding Data Jobs

Machine Learning Engineer, Natural Language Understanding, Proactive

Senior AI Engineer — Conversational Voice AI

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