Principal AI Scientist Job at Altamira Technologies (McLean, VA)

Principal AI Scientist - Zalando Assistant

Zalando’s Zalando Assistant team is looking for a Principal AI Scientist to help...

Location

Germany , Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

Requirements

10+ years of experience in the field of engineering or applied science
Strong Python skills and experience building production-grade applications
Experience building LLM-powered applications or AI agents
Experience with prompt engineering, tuning, and evaluation
Experience with agent frameworks such as LangChain, LlamaIndex, PydanticAI, DSPy, or similar
Experience integrating LLMs with external APIs, tools, and/or RAG systems
Experience evaluating conversation quality and defining LLM metrics
Experience with vector databases, embeddings, or retrieval systems
Strong analytical and problem-solving skills
Experience optimizing AI systems for business KPIs

Job Responsibility

Design and build conversational AI agents
Develop and integrate RAG pipelines to enrich experiences with fresh, contextual data
Design, tune, and evaluate LLM prompts to improve response quality and user engagement
Integrate LLMs with search, recommendation, and external APIs
Define and implement evaluation frameworks for conversation quality and grounding
Run experiments and optimize assistant performance for business KPIs (conversion, engagement, retention)
Own the architecture, development, and deployment of LLM-powered agent workflows
Collaborate cross-functionally with engineering, product, and data science teams
Mentor colleagues and share best practices in applied AI and agent development

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

Principal Data Scientist - AI Foundations, Specialist Models

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean; San Jose; New York

Salary:

161800.00 - 201400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution
Leverage a broad stack of technologies — Python, AWS, Spark, modern state of the art models like transformers, graph ML, and more
Build machine learning models through all phases of development
Leverage Agentic AI tools and workflows to build and test
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Principal Generative AI Scientist

We are hiring a Data Scientist Specialist! Role: Data Scientist Specialist (Prin...

Location

United States , McLean

Salary:

80.00 - 95.73 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

PhD in AI, Data Science, or a closely related field (required)
10+ years of AI/ML experience, including 3+ years in applied Generative AI or LLM-based solutions
Strong experience with AWS cloud-native AI development, including SageMaker, Bedrock, and MLflow on EKS
Deep hands-on expertise with GenAI system design, RAG, agents, prompt engineering, and vector databases
Advanced Python skills with extensive use of Jupyter notebooks
Experience with Transformers, LangChain, or similar GenAI frameworks
Strong understanding of GenAI architectural patterns and best practices
GitHub repository link required demonstrating hands-on technical work

Job Responsibility

Architect and implement AI agents, agentic workflows, and full-scale GenAI applications
Develop, fine-tune, and evaluate LLMs, including Claude, Azure OpenAI models, and open-source alternatives
Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG solutions using vector databases and knowledge bases
Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Build and maintain Jupyter-based workflows using SageMaker, MLflow, Kubeflow, and Kubernetes (EKS)
Collaborate with UI, microservices, product, and data engineering teams to deliver end-to-end GenAI experiences
Integrate GenAI services via API-driven enterprise integration patterns
Establish evaluation frameworks, safety guardrails, bias mitigation, and validation processes for production deployment
Design and own data ingestion pipelines (extracting, chunking, enriching, anonymizing, and embedding data)
Orchestrate multimodal ETL/ELT pipelines and scalable ingestion workflows

What we offer

Medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

Fulltime

Principal Data Scientist – AI & Machine Learning

We’re partnering with a highly respected, data driven organisation in the altern...

Location

United Kingdom , London

Salary:

100000.00 - 125000.00 GBP / Year

Myn

Expiration Date

Until further notice

Requirements

6–12 years’ experience in data science, currently operating at Principal level
Strong grounding in machine learning fundamentals (supervised learning essential)
Proven experience delivering production-grade ML solutions
Strong Python and SQL skills
Experience with experimentation and data-driven decision making
Ability to operate as a hands-on technical leader (not pure management)
Advanced degree (Master’s or PhD) in a quantitative field

Job Responsibility

Design, build, and deploy machine learning models (prediction, classification)
Own delivery of data science solutions from problem definition to production
Lead experimentation and A/B testing to drive continuous improvement
Collaborate cross functionally with product, engineering, and commercial teams
Mentor and elevate a high-performing team of data scientists and ML engineers
Contribute to AI strategy, including developments in generative AI

What we offer

10% discretionary bonus
equity scheme

Fulltime

Principal Applied AI Scientist

As a Principal Applied AI Scientist for The Customer Service Applications Team, ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 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 6+ 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 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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

Build collaborative relationships with product and business teams to deliver impactful AI solutions
Research, implement, and fine-tune state-of-the-art AI models using advanced techniques like foundation models, prompt engineering, and multi-agent architectures
Rapidly prototype AI solutions, deploy them to production, debug code, and support MLOps/AIOps workflows
Translate research into production-ready solutions, measure impact through A/B testing and telemetry, and contribute to papers, patents, and conferences
Use data to identify gaps in AI quality, uncover insights, and implement proof-of-concept projects
Maintain clear documentation of experiments and share findings internally to promote innovation and knowledge sharing

Fulltime

Principal Applied Data Scientist - AI for Good Lab

The AI for Good Lab is hiring a Principal Applied Data Scientist to join our tea...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 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 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Deep foundation in AI, machine learning, statistics, or related quantitative methods applied to real-world problems
Experience working end-to-end with data-from sourcing and exploration through modeling, interpretation, and communication
Proficiency in at least one scientific programming language (Python, R or equivalent languages) and experience with SQL or similar query languages
Excellent written and verbal communication skills, with demonstrated experience communicating complex ideas clearly and persuasively to non-technical audiences
Proven ability to influence outcomes and lead work in cross-functional, matrixed environments

Job Responsibility

Lead and develop applied AI solutions (LLMs, Agents, Computer Vision) and data science solutions by identifying and gathering data, shaping problem formulations, applying AI, machine learning, and statistical methods, and generating insight with real-world impact
Use AI creatively as a research and solution-building tool, combining quantitative methods, experimentation, and domain knowledge to surface patterns, test ideas, and inform decisions
Rapidly prototype and validate approaches using modeling, statistics and experimentation
select methods under real-world constraints (cost/latency, safety, privacy, maintainability)
Design and build reliable, maintainable, end-to-end systems spanning data pipelines, model lifecycle, evaluation/telemetry, deployment, and operations
Advance the AI for Good Lab research agenda by authoring technical papers and presentation, published both internally and externally
Work in close partnership with other researchers and research organizations, as well as policy, industry, and nonprofit stakeholders, to co-create solutions
Present findings with clear and compelling narratives, using impactful visualizations and storytelling to articulate insights that drive understanding and action
Lead through influence by shaping technical direction and standards (model evaluation, responsible AI, safety/privacy, and monitoring), aligning collaborators, navigating tradeoffs, and sustaining momentum across teams and institutions

Fulltime

Principal AI and Machine Learning Scientist

Join the AWMT AI/ML Team – Drive Innovation in Advice and Wealth Management We'r...

Location

United States , Malvern; Charlotte

Salary:

Not provided

Vanguard

Expiration Date

Until further notice

Requirements

Leads the execution of large scale, more complex analytics projects
Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making
Creates alternative model approaches to assess complex model design and advance future capabilities
Mentors and develops junior data scientists and analysts
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps
Engages with senior leadership to understand and probe business processes in order to develop hypotheses
Brings structure to requests and translates requirements into an analytic approach
Guides test design, research design, and model validation
Provides statistical consultation services

Job Responsibility

Design, validate, and evolve LLMs and intelligent agents to deliver explainable, trustworthy recommendations in financial advice and portfolio management
Collaborate closely with engineers and cross-functional teams to improve LLM prompting, accuracy, and system reliability
Build and train machine learning models that enable hyper-personalized portfolios while proactively identifying and mitigating risks and anomalies
Lead and contribute to groundbreaking Gen AI initiatives, offering strategic guidance and technical expertise from concept to launch
Conduct deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making
Develop alternative modeling approaches to tackle complex challenges and push the boundaries of our capabilities
Mentor and support junior data scientists and analysts, fostering a culture of growth and innovation

What we offer

Competitive compensation packages
Industry-leading retirement savings plans
Best-in-class medical coverage
On-site clinics and fitness centers
Savings plans for medical expenses now and in retirement
Access to leading mental health resources and providers
Generous paid time off
Educational and training opportunities
Leadership support
Educational assistance plans

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Waltham

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

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Principal AI Scientist

Job Description

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