Research Scientist I Ecosystem Modeler Jobs

Geochemical Modeler

We are seeking a highly skilled and motivated Geochemical Modeler to join our te...

Location

Salary:

Not provided

InPlanet

Expiration Date

Until further notice

Requirements

Strong understanding of geochemical processes and hydrological dynamics in the soil system
Strong programming skills (Python or Fortran) for model development
Experience running models using high-performance computing resources
Excellent analytical and problem-solving skills
Strong written and verbal communication skills
Ability to work independently and collaboratively in a dynamic research-oriented startup environment
PhD (or relevant experience) in Soil Science, Environmental Science, Environmental Engineering, Hydrology, Geology, Geochemistry, Earth Sciences, or a related field
3+ years of proven experience in developing, modifying, applying reactive transport, agro-ecosystem, and/or hydrological models

Job Responsibility

Develop and maintain an in-house model for simulating enhanced rock weathering process in the near-field (soil) and far-field (groundwater, surface water, ocean) zones based on existing reactive transport, agro-ecosystem, and hydrological models
Parameterize and validate the model using data from column, mesocosm, and field experiments to accurately reflect the specific feedstock, soil, climate, and geographic conditions of our projects
Work with in-house scientists to design and execute new research experiments to understand key mechanisms of the ERW process, which can be fed into the model development
Conduct simulations to predict feedstock weathering rates, carbon sequestration, and the spatial and temporal transport of weathering products from soil to the ocean
Conduct field-scale water flux estimations to support porewater-based carbon dioxide removal (CDR) quantification
Analyze simulation results to understand the sensitivity of ERW performance to operational and environmental changes for optimal deployment strategy
Predict the impact of ERW on key environmental parameters, including soil fertility, water quality, and crop growth
Maintain existing and build new connections with external scientist for collaborative model development
Communicate model results and findings as reports and presentations to internal and external stakeholders
Present research findings at academic conferences and publish in peer-reviewed journals

What we offer

Share options to make you feel like an owner
Home Office Budget
Fully Remote: Join us from anywhere within the CET (- 4/5-hour time zones)
Personal development budget
Language Programme Monthly Allowance
34+ days annual leave
The opportunity to be autonomous, make a huge difference and belong to a vision
Occasional off-sites in Brazil
Laptop to fuel your productivity

Principal Product Manager, Autonomous Advertising

Lead the vision, strategy, and execution of our Viant AI Suite—an award winning ...

Location

United States

Salary:

180000.00 - 230000.00 USD / Year

Viant

Expiration Date

Until further notice

Requirements

7+ years of experience in product management, with a proven record of delivering successful products
4+ years of experience in online advertising, ideally within DSPs or related ad tech platforms including media planning, campaign management, optimization, targeting, modeling, and personalization
Demonstrated ability to solve complex problems using structured, data-driven reasoning
Strong understanding of generative AI applications and frameworks
Experience working with cross-functional teams including engineers, data scientists, and designers
Familiarity with programmatic ecosystems, including Ad Networks, Exchanges, RTB, DSPs, SSPs, DMPs, onboarding, and identity management platforms
Excellent communication skills with the ability to clearly articulate AI-driven outcomes to both technical and business stakeholders

Job Responsibility

Own and drive the strategy, roadmap, and execution for the Viant AI Suite within Viant DSP
Lead end-to-end product management efforts, from research and discovery through definition, delivery, and iteration
Collaborate with data science, engineering, design, and external customers to identify opportunities where AI can solve complex challenges, from smarter media planning to fully automated campaigns management and optimization
Define and prioritize requirements for AI-powered products and features
Manage dependencies across Viant’s technical environment and ensure timely delivery of AI products to market
Conduct in-depth research on competitive AI/ML advancements within ad tech and programmatic platforms
Communicate product performance through AI-specific KPIs (e.g., lift in campaign efficiency, accuracy of predictive models, cost savings from automation)
Champion a customer-first mindset, ensuring every AI product delivers tangible business value

What we offer

fully paid health insurance
paid parental leave
unlimited PTO

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris, Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Product Strategy : Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Product Management & ownership: Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Product evangelisation : Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Principal Data Scientist

Principal Data Scientist role in Data & AI organization building next-generation...

Location

United States , Jersey City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required)
10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact
Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch
Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development
Proven experience deploying models in cloud-based or distributed environments

Job Responsibility

Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources
Lead the design and optimization of scalable data pipelines to support production-grade ML systems
Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions
Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness
Produce clear documentation and communicate insights effectively to both technical and non-technical audiences
Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies
Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...

Location

United States , Boston

Salary:

125000.00 - 170000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of ML engineering, applied research, or a similar role
2+ years experience applying advanced mathematical and statistical techniques
Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
Proficiency in scientific Python and SQL
Excellent verbal and written communication skills

Job Responsibility

Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
Work closely with a team of data scientists in developing algorithms that power member-facing features
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

What we offer

equity
benefits

Fulltime

Research Scientist I Ecosystem Modeler

Colorado State Univeristy

Location:
United States , Fort Collins

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
December 22, 2025

Expiration:
December 31, 2025

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Job Posted:December 22, 2025

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