Manager - Machine Learning - Voice Model Job at Doctolib (Paris)

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

Ai Engineer

This role sits at the intersection of AI engineering, data scientist, developer ...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role
Strong production experience building LLM-powered applications and deployment at scale
Strong programming skills in Python and experience building scalable production services and APIs
Experience designing and implementing AI application architectures in cloud-native environments
Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems
Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation
Familiarity with AI observability, evaluation frameworks, and production monitoring
Experience deploying and operating AI systems on AWS, Azure, or GCP
Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows
Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams

Job Responsibility

Spend real time with lawyers, legal operations teams, and our internal subject-matter experts
Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against
Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences
Bring the customer voice back into our roadmaps, our model choices, and our trade-offs
Contribute to AI-powered applications and workflows for legal and business use cases
Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns
Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services
Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities
Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments
Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

Thematic Risk Analytics Lead Analyst – Vice President

An individual in Enterprise Risk Management plays a critical role in managing th...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Unstructured Data Expertise: Ability to extract, clean, transform and analyze unstructured data from diverse sources such as customer complaints, issues etc
Programming & Tools Proficiency: Strong skills in Python or Java with hands-on experience using key Natural Language Processing/Machine Learning libraries such as NLTK, spaCy, Gensim, TensorFlow, PyTorch or OpenAI APIs
Natural Language Processing & Machine Learning Skills: Expertise in text preprocessing (tokenization, stemming, lemmatization), named entity recognition, sentiment analysis and applying Machine Learning algorithms like classification, clustering and topic modelling
Data Engineering Capabilities: Ability to build and maintain scalable ETL/ELT pipelines and ensure data quality through validation and cleaning. Experience with manage NoSQL databases (MongoDB, Elasticsearch, Cassandra) is plus
Insights & Reporting: Experience converting processed unstructured data into actionable insights using visualizations, dashboards and automated reporting tools
10+ years of experience in Operational Risk Management, Audit, Compliance or other control function
Understanding of how to lead strong governance and controls, and build a culture of responsible finance, good governance, and ethics.
Familiarity with the firm's Code of Conduct, Plan of Supervision, and policies and procedures.
Background in collaborating with business partners on Audit, Compliance, and Regulatory findings and remediation efforts.
Familiarity with enhancing, automating, or simplifying control processes as well as monitoring control exceptions and breaches.

Job Responsibility

Independently design and execute analysis of large scale data populations aggregated from target platforms, processes and product lines, consisting of structured and unstructured data
Effectively identify, quantify and communicate emerging risk from aggregated data not identified by the enterprise in isolated processes to drive proactive risk mitigation
Leads risk and control analysis and validation in line with established standards, provides risk mitigation recommendations.
Collaborates on audit, compliance, and regulatory findings, drives remediation efforts, sets up the quarterly audit process, and oversees the procedural implementation and change management to ensure sound governance and controls.
Enhances and automates control processes, monitors control exceptions and breaches.
Establishes and promotes strong governance, controls, and a culture of responsible finance, contributing to the implementation and oversight of the Control Framework.
Adheres to firm's Code of Conduct, Plan of Supervision, and all role-specific policies and procedures.
Manages risk evaluation in business decisions, ensures compliance with laws and regulations, promptly reports control issues, identifies root causes, and recommends corrective actions to prevent potential breaches.
Maintains updated knowledge in conducting risk and control assessments and effectively influences others.
Drives innovative risk analysis, ensures timely risk reporting, develops key communication materials, leads risk management training, and effectively manages risks related to new activities and business changes.

Fulltime

Senior Product Manager

We are looking for a strategic Senior Product Manager to shape the future of a d...

Location

United States , Minneapolis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

8+ years of product management experience within SaaS, platform, data, or AI-focused product environments
Strong background in enterprise-scale platform strategy, data architecture, and AI-enabled product development
Experience bringing automation, machine learning, natural language processing, or generative AI solutions into production within complex software organizations
Solid understanding of schema design, metadata management, governance practices, and model lifecycle considerations
Ability to communicate effectively with both technical teams and executive stakeholders, turning sophisticated concepts into actionable plans
Proven success leading cross-functional initiatives involving product, engineering, and data science teams
Familiarity with cloud environments and modern product tools such as Jira and Aha!
experience with AI collaboration tools is a plus

Job Responsibility

Build and drive a long-range product vision for the core platform
Direct the strategy for data ingestion, integration, and platform foundations
Collaborate with engineering and AI partners to establish semantic data models and governance practices
Own product decisions across platform logic and AI workflows
Lead the integration of machine learning, natural language processing, and generative AI capabilities
Define how platform intelligence supports skills frameworks, career mobility pathways
Align roadmaps across product areas by working closely with leaders
Advise senior leadership on product investment decisions
Coach and develop other Product Managers
Act as a visible voice in the market by contributing thought leadership

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Audio Engineer

Join our team as a highly skilled Audio Engineer (Native English Language) and e...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Native English language proficiency with exceptional verbal and written communication abilities
Demonstrated expertise in professional audio engineering, including dubbing, voiceover, and audio editing
Strong experience in translation or adaptation of audio scripts, ensuring semantic and tonal accuracy
Advanced proficiency with industry-standard audio editing software and hardware
Proven ability to deliver high-quality work under deadlines and manage multiple projects remotely
Keen attention to detail, creativity, and a collaborative mindset
Experience supporting AI or machine learning initiatives related to audio or language

Job Responsibility

Design, record, and edit high-fidelity audio for dubbing and voiceover projects, ensuring natural fluency and clarity in native English
Collaborate with localization and content teams to guarantee seamless integration of audio assets across multimedia deliverables
Oversee the technical workflow for audio post-production, including cleanup, mastering, and synchronization with video content
Apply expert knowledge of translation and adaptation processes for dubbing projects, maintaining authentic tone and context
Review, edit, and provide feedback on scripts and translated content to align with native English standards
Train and support AI models in audio processing tasks, ensuring that outputs meet native English language benchmarks
Maintain detailed documentation and effective written communication for project tracking and knowledge sharing

Fulltime

Ai Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
Proven ability to translate AI-driven customer experiences into clear requirements, guardrails, and scalable operating models (assistants, decisioning, retrieval, or adjacent systems)
Strong understanding of structured data (Schema.org), page semantics, content extractability, and how AI/answer systems retrieve, rank, and reference content
Strong understanding of information architecture, modular content systems, funnels, attribution considerations, and Core Web Vitals

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery, AEO (Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

Lead Analyst, Advanced Analytics

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

164000.00 - 191000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision

Job Responsibility

Generating payment reports and analyzing payment data for insights and performance evaluation
Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership
Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization
Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements
You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes
Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities
Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results
Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making
Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities
Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Product Manager, Operator Panel

The Senior Product Manager is responsible for identifying and executing on our b...

Location

United States; Canada , Chicago, IL; Toronto, ON

Salary:

Not provided

SpotHero

Expiration Date

Until further notice

Requirements

5+ years of experience in product management, with a proven track record of launching and scaling successful marketplace or B2B products
Expert-level experimentation skills: Deep experience with A/B testing platforms (Optimizely), product analytics (Mixpanel, Looker), and behavioral research
Deep analytical skills: Strong proficiency in SQL and data visualization tools (e.g., Looker, Tableau, Power BI, or Mode)
Technical Depth: Familiarity with APIs, machine learning models, and complex system architectures (e.g., migrating from monoliths to microservices)
Education: Bachelor’s degree in a relevant field or equivalent professional experience
MBA or technical background preferred
Strong communication and storytelling skills: Able to translate complex data into clear, actionable insights
Experience in a fast-paced, cross-functional environment within a tech company
Experience leading complex product integrations or platform migrations is a plus

Job Responsibility

Drive 3-5 Year Strategy: Lead the development of long-term product visions that moves SpotHero’s current offerings into new and exciting places
Product Growth and Expansion: With an understanding of the company’s competitive position, balance continued growth in areas with proven product-market fit while identifying and developing new product opportunities
Lead High Visibility Initiatives: Own high-risk, high-reward 'Strategic Bets' that require deep cross-functional coordination, such as major partner integrations or transformative marketplace shifts
New Product Innovation: Facilitate discovery for unmet market opportunities
Influence Without Authority: Serve as a peer-coach to fellow PMs, helping to level up the organization’s overall product craft, documentation standards, and discovery methodologies
Executive Evangelism: Act as the primary product voice for your product offerings and expanding adjacencies, translating complex technical roadmaps into clear business impact stories

What we offer

Excellent benefits
We cover a generous portion of Medical Premiums, 50% of Dental and Vision Premiums, company-sponsored Life Insurance, STD, and AD&D coverage, a 401(k) with match and immediate vesting, and comprehensive leave policies
Canada: We offer Medical (prescription drug and paramedical coverage), Dental, Vision, Life Insurance, STD, and LTD
Flexible PTO policy and outstanding work/life balance
Grubhub weekly lunch stipend for in-office days (UberEats for Canada)
Udemy License and Personal Learning Budget
Annual parking stipend
Employee Resource Groups
Discovery Days for Product and Engineering
Gearing up for Aspiring Leaders

Fulltime

Select Country

Manager - Machine Learning - Voice Model

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?