Director, Data Scientist - Generative AI Systems Job at Capital One (McLean)

Senior Data Scientist, Generative AI Products

We are seeking a talented Generative AI Engineer to join our team. In this role,...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Advanced degree in computer science, data science, engineering, or a related field within AI/ML
3+ years of experience building (Generative) AI models and tools highly preferrable
Experience working in a similar role in a startup environment preferrable
Expertise in NLP, deep learning, and other relevant techniques
Strong programming skills in Python and frameworks like TensorFlow
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing
Ensure quality of datasets tailored for LLM training for each product
Build data science pipelines from feature generation, data visualization and models evaluation
design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability
Designing, developing, deploying, and implementing multi-agent AI tools that: Assess and provide feedback on venture-related submissions
Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

Job Responsibility

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact

What we offer

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

Director Engineering - AI/ML

We are looking for a rare combination of hands-on technical leader and strategic...

Location

United States , Palo Alto

Salary:

112.39 - 148.91 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years in a senior leadership role (Manager, Senior Manager, or Director) managing software development teams
Proven track record of leading teams that have successfully built, deployed, and scaled AI/ML products
Deep technical knowledge of the modern GenAI stack, including LLMs, retrieval-augmented generation (RAG), vector databases, and agentic frameworks
Expertise in designing and building scalable, cloud-native systems (GCP, AWS, or Azure) and container orchestration (Kubernetes)
Strong experience with API design, microservices architecture, CI/CD, and MLOps principles
Exceptional ability to mentor engineers, set technical direction, and manage complex projects with multiple stakeholders
Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical and clinical audiences
BS or MS in Computer Science, AI, or a related engineering field

Job Responsibility

Leadership & Strategy: Build & Mentor: Recruit, lead, and mentor a high-performing team of software engineers and data scientists
Define the Vision: Partner with clinical and product leadership to develop and execute a strategic technical roadmap for the chatEHR platform
Ensure Compliance & Ethics: Serve as the key engineering leader responsible for ensuring all AI applications adhere to strict healthcare regulations (HIPAA), data privacy laws, and ethical AI standards
Technical Delivery & Execution: Platform Architecture: Oversee the architecture and design of a scalable, secure, and reliable GenAI platform
Agentic Frameworks: Lead the design and development of a sophisticated agentic framework for Stanford Healthcare
API & Application Development: Manage the development of user-facing chatEHR applications and publish a comprehensive set of platform APIs
Release Management: Manage multiple concurrent development streams and releases
Modern MLOps: Implement and oversee robust MLOps practices
Collaboration: Bridge Research & Practice: Act as the primary technical liaison between engineering team and partners in the Chief Data Science Officer's lab
Engage Stakeholders: Work closely with cross-functional teams to identify and prioritize high-impact opportunities for GenAI

Fulltime

Senior Director – BioIntelligence

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a...

Location

United States , Thousand Oaks

Salary:

239775.00 - 295217.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems
OR Master’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems
OR Bachelor’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems
At least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources

Job Responsibility

Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling
Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery
Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities
Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity
Advance modeling approaches using modern AI techniques such as: protein language models
generative modeling and inverse folding
representation learning
active learning and Bayesian optimization
Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data
Lead development of production-quality research software and deployable ML models used across discovery teams

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Music Directors and Composers - Ai trainer

Join our team as a Music Directors and Composers - Ai trainer, where your expert...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Proven experience as a music director, composer, or arranger across diverse genres
Advanced knowledge of music theory, orchestration, composition techniques, and digital music technologies
Exceptional written and verbal communication skills with a collaborative, detail-oriented approach
Demonstrated ability to curate, annotate, and critique music for educational or professional purposes
Comfort with remote collaboration tools and digital audio workstations (DAWs)
Passion for innovation at the intersection of music and technology
Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment
Experience: 2+ years

Job Responsibility

Design and deliver high-quality training data, guiding AI systems in understanding musical direction, composition, and performance nuances
Review, annotate, and curate music samples, scores, and notations to support AI model development
Collaborate with engineers and data scientists to interpret model results and suggest creative improvements
Develop guidelines for data curation with a strong focus on musicality, genre, and emotional expression
Provide actionable feedback on AI-generated music outputs to ensure musical integrity and industry relevance
Lead workshops or knowledge-sharing sessions to upskill team members on music theory, arrangement, and emerging trends
Communicate complex musical concepts clearly and effectively in both written and verbal forms

Fulltime

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software
Demonstrated cross-functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master's degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems

Job Responsibility

Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

New

Embedded Software Engineer (Chinese Speaking)

Analyze, design, develop, and maintain complex embedded software components base...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering, Electronics, Telecommunications, Control and Automation Engineering, Mechatronics, or a related field
3+ years of proven professional experience in embedded software development
Hands-on experience with microcontroller architecture, device drivers, and real-time operating systems (RTOS)
Strong programming skills in C/C++, with experience in scripting languages like Python or others such as C#
Solid foundation in Control Systems, Automation, Embedded Systems, and familiarity with automotive communication protocols (e.g., CAN, LIN, Ethernet)
Experience in areas such as Automotive Ethernet, Base Software (BSW), Bootloader, COM Stack, Cyber Security, Device Drivers, Diagnostics, and Real-Time Operating Systems
Proficient in English Communication
Advanced Chinese Proficiency: Must be able to communicate fluently in technical and business contexts and read/understand technical documents in Chinese (HSK5 or above)
Results-driven with a quality-focused, structured, and disciplined engineering approach
Possesses a safety-critical mindset and an architecture-first approach

Job Responsibility

Analyze, design, develop, and maintain complex embedded software components based on business and technical requirements
Perform software requirement engineering, including analyzing, validating, and maintaining customer requirements
Perform software integration activities, including configuring and merging software modules into a unified build
Create and execute unit, component, and integration test cases to verify software functionality and ensure compliance with quality standards
Apply established software development processes and coding standards to produce reliable and maintainable code for embedded systems
Utilize debugging and analysis tools to investigate, troubleshoot, and resolve complex software defects and performance issues
Mentor junior engineers by providing guidance on technical tasks, coding practices, and problem-solving techniques
Contribute to technical reviews and team knowledge-sharing sessions
Ensure compliance with applicable industry standards, regulatory requirements, company policies, and quality frameworks applicable to the role and assigned projects

What we offer

Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
Join a dynamic and fast growing global company (English-speaking environment)
13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% monthly salary and mandatory social insurances in 2-month probation
Onsite opportunities: short-term and long-term assignments
15++ days of annual leave + 1 day of birthday leave
Premium health insurance for employee and 02 family members
Flexible working time
Lunch and parking allowance
Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills

Fulltime

New

Project purchasing engineer (exporting team)_EM

Location

China , Changsha

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor degree in technical background are preferred
Speak and write English fluently (additional language skill are plus preferable German/Spain)
Have working experience up to 3-5 years, automotive field experience are preferred
Skills in efficient project management
Good communication skills, open mind and a good team player
Flexible working time style requested (communication with other region due to time zone different)
Frequently domestic and oversea business trip required based on working tasks needs.

Job Responsibility

Project management purchasing for oversea supplier and oversea BOSCH plant
Responsible for cross region project purchasing management
Responsible for projects target cost / time-bound / quality fulfillment
Lead technical discussion together with supplier & Engineer & PMQ
Responsible for RPP (Cost saving) projects planning and realization
Responsible for ECR (Change management) in purchasing.

Fulltime

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Director, Data Scientist - Generative AI Systems

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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