Applied ML Scientist Job at PDT Partners (New York)

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...

Location

Costa Rica , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field
OR equivalent experience in lieu of academic degrees
At least 5 years of experience in predictive analytics, statistics, or research
Experience with synthetic data generation and data management for evaluation/training
At least one year of experience publishing patents or peer-reviewed papers
Proficiency in English and cross-functional collaboration
Deep motivation for user-centric AI and interest in human cognition, memory, and AI

Job Responsibility

Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
Write production-quality code, apply debugging best practices, and stay current with industry trends
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Senior Applied Scientist and Principal Applied Scientist

The Microsoft Applied Sciences Group incubates disruptive technologies for Micro...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Optimize, fine tune and transform models for edge device inferencing
Contribute to the technical design, architecture, development, and evaluation of DNN models
Collaborate with engineering and product development teams
Contribute to a real-time system involving multiple components
Assist in identifying and addressing issues in ML frameworks and associated hardware
Mentor junior engineers and contribute to team knowledge-sharing sessions

Fulltime

Staff ML Validation Applied Scientist

As a Staff ML Validation Applied Scientist on the Software Validation team withi...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
Strong proficiency in Python and at least one systems language (e.g., C++), with experience building production systems over large datasets
Deep understanding of and experience evaluating modern ML for robotic systems
Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle
Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems
Strong analytical skills and systems thinking
able to reason about complex AV behavior and ML model interactions and turn insights into code and tools
Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers

Job Responsibility

Lead ML-centric validation strategy for deep learning components across perception, prediction, and planning in AV, defining evaluation methodologies with cross-functional partners
Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows
Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines
Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models
Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping, standards, and mentorship focused on high-quality, automation-first software

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Research Scientist Manager - ML Modeling & Applied Research

Reality Labs at Meta is seeking Research Scientist Manager with experience in ma...

Location

United States , Burlingame

Salary:

184000.00 - 257000.00 USD / Year

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture

Are you passionate about using data science to transform how businesses understa...

Location

United States , Seattle; New York

Salary:

167100.00 - 248700.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
PhD, or PhD and 4+ years of designing experiments and statistical analysis of results experience
Experience in A/B testing
Proficiency in Python and SQL
experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Track record of delivering end-to-end data science solutions from problem definition through production deployment

Job Responsibility

Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements and business decisions
Work directly with customers during production pilots to design, build, and deploy AI solutions that demonstrate measurable business value
Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes
Build ROI models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic
Develop and maintain forecasting systems for demand prediction, capacity planning, and workforce optimization
Develop and apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale
Partner with applied scientists and software engineers to productionize models, ensuring reliability, monitoring, and operational excellence
Enable AI Velocity teams with reusable analytical assets, diagnostic notebooks, and scalable tooling that accelerate customer engagements
Build benchmarking studies and optimization frameworks that demonstrate value across customer cohorts
Own success metrics and create mechanisms to measure model performance, adoption, and business impact

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

New

Applied Scientist

Come join the AWS Agentic AI science team in building the next generation models...

Location

United States , Santa Clara

Salary:

171600.00 - 222200.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
Apply software engineering best practices to ensure a high standard of quality for all team deliverables
Work in an agile, startup-like development environment
Deliver high-quality scientific artifacts
Work with the team to help drive business decisions

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

New

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
familiar with payments (wider fintech), risk, or fraud domain
enjoys researching new ML methods
interested in collaborating with different functional areas
thinks finding the "why" in datasets is the most interesting part of your job
thinks about how to tackle experiments and put findings into production
coming from an analytics background, e.g. A/B testing, SQL

Job Responsibility

participate in the full ML lifecycle: data deep dives and gaining insights
model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando's business
engage with the wider applied science community at Zalando

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

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Applied ML Scientist

Job Description

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