3,354 Library Information Science jobs in the United States

Location:

Santa Clara, California, United States

Job ID:

R0104071

Date Posted:

2025-08-19

Company Name:

HITACHI AMERICA, LTD.

Profession (Job Category):

Administration & Facilities

Job Schedule:

Part time

Remote:

No

Job Description:

AI Research Scientist Intern

Division: Energy Solutions Division

Location: Santa Clara, CA or remote

Status: Intern, part time (September - March 2026)

The Company

Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the business structure of "Digital Systems & Services" - supporting our customers' digital transformation; "Green Energy & Mobility" - contributing to a decarbonized society through energy and railway systems, and "Connective Industries" - connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company's consolidated revenues for fiscal year 2022 (ended March 31, 2023) totaled 10,881.1 billion yen, with 696 consolidated subsidiaries and approximately 320,000 employees worldwide. For more information on Hitachi, please visit the company's website at

Summary

Hitachi America, Ltd. ( ) has openings for postdoc position in the Energy Solution Laboratory located in Silicon Valley. The laboratory focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel energy solutions, leveraging Hitachi's technologies, reinforcing Hitachi's messaging around IoT technologies, and establishing Hitachi as a leader in big data.

More information about the research done at the Big Data Laboratory can be found at:

More information about Hitachi IoT technology in Smart Industry can be found at:

Requirements

We're looking for a team player, who is motivated by delivering great work and the Hitachi vision. The ideal candidate will possess the following skills and background:

• AI Research Scientist in the areas of power distribution and transmission systems.

• Conduct research in AI/ML with applications in power system planning, operation, and optimization.

• Design and implement AI algorithms for planning, real-time monitoring, control, and operation of distribution and distribution networks.

• Collaborate with cross-functional teams internally and externally to prototype, test, and deploy AI-powered tools in real-world utility environments.

• Publish research findings in peer-reviewed paper/journal

Qualifications

We're looking for a team player, who is motivated by delivering great work and the Hitachi vision. The ideal candidate will possess the following skills and background:

• Ph.D. in Computer Science or Electrical Engineering or any other related degree with 1-3 years of experiences in AI/ML.

• Proficiency in Python is a must.

• Experience with Graphic Processing Unity (GPU) preferred.

• Proficiency in AI/ML, supervised learning, unsupervised learning, deep learning, reinforcement learning, data analytics techniques, and optimization techniques.

• Proficiency in AI/ML algorithm development.

• Knowledge of distribution and transmission system analysis is preferred.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn't impact your ability to do the job, including race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

Wa - Harmony, Trust, Respect

Makoto - Sincerity, Fairness, Honesty, Integrity

Kaitakusha-Seishin - Pioneering Spirit, Challenge

For California only (as required by California's Pay Transparency for Pay Equity Act ( SB 1162) : The expected hourly rate for this position in our California office is $45 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America's variable pay program, subject to the program's conditions and restrictions.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to Queries other than accommodation requests will not be responded to.

Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Basic Qualifications
- Bachelor's degree
- PhD, Masters, Bachelors with 10 years experience
Preferred Qualifications
- 10+ years of Managerial experience, working with commercial products
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $157,600/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Summary:**
The Reality Labs Research Audio team aims to fundamentally transform the human experience through audio innovation. We are creating virtual sound that is perceptually indistinguishable from reality and redefining human hearing. We research and invent technologies related to sound capture, acoustic scene understanding, psychoacoustics, listener intent, sound propagation, audio rendering, the hardware breakthroughs necessary to power these technologies, and much more. The discoveries we make inform immersive and ubiquitous XR products across Meta, supporting meaningful connections to the world and people across augmented reality, mobile, virtual reality, wearable devices, and beyond.
**Required Skills:**
Virtual Sound Director, Research Science Responsibilities:
1. Research Leadership: Develop and lead a strategic research agenda focused on advancing audio technology for virtual and augmented reality applications. Identify and explore new research opportunities and applications for audio technology.
2. Innovation and Development: Oversee the research and development of cutting-edge audio technologies, including machine learning algorithms, AI-driven audio processing, and the integration of large language models into audio systems.
3. Team Management: Lead, mentor, and inspire a team of researchers and engineers. Foster a collaborative and innovative research environment that encourages creativity and excellence.
4. Collaboration: Work closely with cross-functional teams, including product development, engineering, and design, to integrate research findings into Meta's products and services.
5. Industry Engagement: Stay abreast of the latest trends and advancements in audio technology, machine learning, and AI. Represent Meta at industry conferences, workshops, and networking events.
6. Quality Assurance: Ensure the highest standards of quality and performance in all research initiatives. Implement best practices for testing, validation, and continuous improvement.
**Minimum Qualifications:**
Minimum Qualifications:
7. Ph.D. in Computer Science, Electrical Engineering, Audio Engineering, or a related field
8. 10 years of experience in audio technology research, with at least 5 years in a leadership role. Proven experience in machine learning, artificial intelligence, and large language models
9. Proficiency in audio signal processing, machine learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies. Experience with large language models and their application in audio systems
10. Demonstrated ability to lead and manage a diverse team of professionals. Strong project management skills and the ability to drive research projects from concept to completion
11. Verbal and written communication skills. Ability to articulate complex technical concepts to non-technical stakeholders
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Sr Machine Learning Engineer, Applied Research Science

Join to apply for the Sr Machine Learning Engineer, Applied Research Science role at Pinterest

Sr Machine Learning Engineer, Applied Research Science

Join to apply for the Sr Machine Learning Engineer, Applied Research Science role at Pinterest

Get AI-powered advice on this job and more exclusive features.

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each others unique experiences and embrace the flexibility to do your best work. Creating a career you love? Its Possible.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

What Youll Do

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems
  
  
  

What Were Looking For

• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
• Nice to have:
• Publications at top ML conferences
• Expertise in scalable realtime systems that process stream data
• Passion for applied ML and the Pinterest product
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$177,309$10,291 USD

Our Commitment To Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet, Software Development, and IT Services and IT Consulting

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Sr Machine Learning Engineer, Core Engineering

Join to apply for the Sr Machine Learning Engineer, Core Engineering role at Pinterest .

About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each others unique experiences, and embrace the flexibility to do your best work. Creating a career you love? Its Possible.

With more than 500 million users worldwide and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. Our teams are small, mighty, and growing, offering hands-on access to vast data and large-scale recommendation systems.

What Youll Do

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
• Partner with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, Search), gaining cross-domain knowledge.
• Leverage data-driven methods and the unique properties of our data to enhance candidate retrieval.
• Work in a high-impact environment with rapid experimentation and product launches.
• Stay updated with industry trends in recommendation systems.

What Were Looking For

• 4+ years of experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, graph representation learning).
• Experience with building data processing pipelines, large-scale ML systems, and big data technologies (e.g., Hadoop/Spark).
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or related fields, or equivalent experience.
• Nice to have: Publications at top ML conferences, expertise in scalable real-time stream processing systems, passion for applied ML and Pinterest products.

Relocation Statement

• This position is not eligible for relocation assistance. See our PinFlex page for more on our working model.

At Pinterest, we value an equitable, inclusive, and inspiring workplace. The salary range for this position is $177,309$310,291 USD, with potential for equity. Final salary depends on location, experience, skills, and other factors.

US-based applicants only. For more about our culture and benefits, click here .

Our Commitment To Inclusion

Pinterest is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, genetic information, or any other legally protected status. Support for medical or religious accommodations is available upon request.

Job Details

• Senior level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: Technology, Internet, Software Development, IT Services & Consulting

Referrals can double your chances of interview success. Get notified about new Machine Learning Engineer roles in San Francisco, CA .

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About Pinterest :

Millions of people across the world come to Pinterest to find new ideas every day. Its where they get inspiration, dream about new possibilities, and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, youll be challenged to take on work that upholds this mission and pushes Pinterest forward. Youll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term thats uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

With more than 450 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

What youll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

What were looking for:

• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Nice to have:
  • M.S. or PhD in Machine Learning or related areas
  • Publications at top ML conferences
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here .

US based applicants only

$177,309$310,291 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

#J-18808-Ljbffr

Description
Do you enjoy solving challenging problems and driving innovations in research? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.
As a Research Science intern focused on Operations Research and Optimization intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures, you'll find yourself at the forefront of innovation, shaping the future of Amazon's fulfillment, logistics, and supply chain operations.
Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll then immerse yourself in a world of data, leveraging your expertise in optimization, causal inference, time series analysis, and machine learning to uncover hidden patterns and drive operational efficiencies.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Amazon has positions available for Operations Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Optimization, Causal Inference, Time Series, Algorithms and Data Structures, Statistics, Operations Research, Machine Learning, Programming/Scripting Languages, LLMs
In this role, you will gain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
Develop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operations
Design and implement scalable algorithms and data structures to support complex optimization systems
Leverage statistical methods and machine learning to uncover insights and patterns in large-scale operations data
Prototype and validate new approaches through rigorous experimentation and analysis
Collaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impact
Basic Qualifications
- Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
Preferred Qualifications
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company Overview

Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram's voice-native foundational models - accessed through APIs or as self-managed software - due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram
The Opportunity

Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
The Role

Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial "data factory" that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.

The Challenge

We are seeking Research Staff who:

• See "unsolved" problems as opportunities to pioneer entirely new approaches
• Can identify the one critical experiment that will validate or kill an idea in days, not months
• Have the vision to scale successful proofs-of-concept 100x
• Are obsessed with using AI to automate and amplify your own impact

If you find yourself energized rather than daunted by these expectations-if you're already thinking about five ideas to try while reading this-you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.

What You'll Do

• Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
• Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
• Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
• Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
• Document and present results of data experiments and analysis for internal and external audiences

You'll Love This Role If You

• Are obsessed with making sense out of complex and/or messy data
• Enjoy building from the ground up and love to create new systems from scratch
• Are passionate about AI and interested in leveraging data to solve hard problems
• Are motivated by the prospect of scaling yourself using automation and AI models

It's Important to Us That You Have

• Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
• Experience and expertise applying statistical methods and deep learning models to understand complex data
• Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience
• Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch

Nice to Haves

• Background in Physics, Mechanical Engineering or Language Processing
• Experience building models
• Speech and audio experience

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.

Description
At Amazon, we're committed to pioneering new frontiers in customer experience, and Mosaic is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion and fitness products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in LLM, forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space and build Gen AI tools that scale our science solutions.
Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like "What is driving this customer behavior?" and "What are signs that customer behavior is likely to change in the near future?".
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Bachelor's degree
Preferred Qualifications
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.