Data Scientist Senior - AI Marketplace Platform Job at Mirakl (Paris or Bordeaux)

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
6-8 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Senior Data Scientist

As part of Microsoft AI, we run Microsoft’s unified monetization platform across...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in related field AND 3+ years data-science experience OR Bachelor's Degree in related field AND 5+ years data-science experience OR equivalent experience
5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles
3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry
Demonstrated track record of driving measurable business impact through data science initiatives
Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (Azure preferred) and big data technologies
Solid understanding of statistical modeling, predictive analytics, and experimentation design
Excellent communication and stakeholder management skills
Proficient English communication oral or in written

Job Responsibility

Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection
Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities
Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations
Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements
Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives
Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions
Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Engineering Manager, ML Platform

We’re looking for hands-on builders–intellectually curious, deeply technical lea...

Location

United States , San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA

Salary:

255000.00 - 345000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads
1+ years of professional experience developing software in Python
Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
Experience working with with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
Professionalism around collaborating in a remote working environment and well tested, reproducible work

Job Responsibility

Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics
Help design and scale inference infrastructure capable of serving large models with low latency and high throughput
Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity
Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical
Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration
Roll out ever-better ergonomics around model training and deployment
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Senior Principal Architect

We are seeking a deeply technical Senior Principal Architects to define and driv...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional software engineering experience, or equivalent practical experience
8+ years of senior technical leadership experience influencing engineers, technical leads, architects, applied scientists, or cross-functional engineering teams across complex platform or product areas
Proven experience architecting and delivering large-scale production systems with meaningful reliability, scalability, latency, correctness, availability, security, and operational requirements
Deep technical experience in one or more of the following platform areas: AI/ML systems, agentic systems, model-serving infrastructure, decisioning systems, distributed systems, data platforms, workflow platforms, risk platforms, security platforms, or Trust & Safety systems
Experience building or technically leading production AI/ML systems, including exposure to modern AI patterns such as LLM-based workflows, retrieval-augmented generation, model orchestration, automated reasoning, human-in-the-loop systems, AI-assisted operational tooling, or agentic workflows
Strong understanding of the engineering requirements for deploying AI or decision systems in production, including evaluation, observability, quality measurement, rollout safety, fallback behavior, latency/cost tradeoffs, drift detection, explainability, governance, and operational reliability
Experience designing high-integrity systems where decisions must be auditable, reproducible, explainable, governed, and secure, especially when handling sensitive signals, advertiser impact, policy enforcement, risk decisions, or compliance-sensitive workflows
Ability to drive clarity from ambiguity, define technical direction, create reusable platform abstractions, and influence execution across multiple teams without relying on direct management authority
Strong written and verbal communication skills, including the ability to explain architecture, tradeoffs, risks, sequencing, and technical strategy to senior engineering, science, product, policy, security, and business leaders

Job Responsibility

AI Platform Architecture and Technical Strategy
Define the long-term architecture for the Ads Trust & Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement
Translate broad Trust & Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities
Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems
Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety
Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage
Deep Research Agents and AI-Assisted Investigation
Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals
Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring and human in the loop
Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override

Fulltime

Senior Software Engineer

Our team is at the forefront of transforming digital advertising through intelli...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

Job Responsibility

Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously
Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies
Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents
Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services
Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions
Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack
Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability
Explore and invest in emerging AI techniques - multi-agent systems, adaptive optimization - to enhance the autonomy, intelligence, and impact of the bidding platform

What we offer

Benefits and other compensation
Religious accommodations
Reasonable accommodations for disability during application process

Distinguished Scientist

In this role, you will define and drive the technical vision for long-horizon, s...

Location

United States

Salary:

270700.00 - 432300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

A PhD in Computer Science, Electrical Engineering, or a related field—or equivalent experience—with emphasis in areas such as foundational LLMs, agentic AI, reinforcement learning, AI planning, or natural language processing
10+ years of hands-on experience building and deploying large-scale AI systems, including at least several years focused on agent-based systems, multi-agent collaboration, or long-horizon conversational assistants
Deep, current expertise in generative and agentic AI, including multimodal foundation models, transformers, advanced reasoning models, and post-training techniques (SFT, DPO, RLHF/RLAIF, preference learning, etc.)
A track record of leading ambiguous, cross-functional initiatives from concept to production—framing the problem, shaping data strategy, designing models and evaluation, and iterating based on live metrics and user feedback
Demonstrated impact in the research community through publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or widely used open-source contributions in LLMs, agentic frameworks, or related areas
Experience designing evaluation and supervision frameworks for long-horizon agents, ideally in regulated or high-stakes domains such as finance, healthcare, or large-scale marketplaces, with an emphasis on safety, fairness, and trust
Strong technical leadership skills: you mentor senior scientists and engineers, create clarity amid ambiguity, and build alignment across research, engineering, product, and leadership stakeholders
Excellent communication skills with the ability to distill complex ideas into clear narratives for executives, cross-functional partners, and external audiences

Job Responsibility

Own the end-to-end research and technical strategy for long-horizon agentic experiences across shopping, financing, and professional workflows, in close partnership with the Agentic AI, data platform, and product teams
Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF/RLAIF, long-context modeling) tailored to supervised, high-stakes journeys in a complex, regulated domain
Architect systems that combine persistent memory, tool use, and multi-agent collaboration to deliver consistent, context-rich guidance over long timelines
Translate Zillow’s heterogeneous data (text, voice, behavioral, and structured real-estate/transaction data) into agent-ready knowledge and signals, in partnership with data and platform teams
Collaborate with product and design to define success metrics, evaluation frameworks, and experiment plans for agentic experiences, including human-in-the-loop supervision and safety reviews
Operate as a senior IC with the option to lead a small pod (up to ~5 scientists/engineers) focused on long-horizon agentic systems, mentoring principal-level talent and setting a high technical bar
Represent Zillow’s work externally through publications, talks, open-source contributions, and thoughtful engagement with the research community, helping position Zillow as a destination for top agentic AI talent

What we offer

competitive base salary
eligibility for equity awards

Fulltime

2nd Shift Line 3 Folder

Position Summary: Under immediate direction performs a variety of tasks includin...

Location

United States , Oakland

Salary:

Not provided

Ajinomoto Foods North America, Inc.

Expiration Date

Until further notice

Requirements

Prefer High School Diploma/GED
Be able to work in a fast-paced environment
Reliable and self-driven
Experience in a food manufacturing plant is preferred
Good communication skills

Job Responsibility

Ensures quality of product being extruded, sliced, battered, breaded, fried and/or refrigerated meets customer specifications, along with company production standards and quality
Tends production line by watching for equipment malfunctions or product defects
Unpacks and loads raw materials into equipment, unloading work in progress or finished product and moving materials to and from the equipment
Inspects and spreads product by hand on moving conveyor belt to ensure product consistency
Moves and palletizes finished and packaged product off production lines, along with verifying code dates and labels
Stocks and restocks boxes, skids, and liners for next shift and current shift as needed
Rotates into any line position as needed due to absences, breaks, etc.
Notifies lead or supervisory staff if unusual operations identified
Performs general housekeeping duties in production area
maintain a clean and safe work area in compliance with existing policy

Fulltime

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Data Scientist Senior - AI Marketplace Platform

Job Description

Job Responsibility

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