838 Technical Research jobs in the United States

About Cartesia
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text1B text tokens, 10B audio tokens and 1T video tokenslet alone do this on-device.

We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.

We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.

Role Responsibilities

As a Technical Sourcer, you will be the engine for our growth as a leading foundation model company, responsible for identifying and engaging world-class technical talent. This is an incredibly hands-on role, where youll be expected to not only source, but to screen and manage candidates through the process, as well as lead on strategic hiring initiatives alongside Recruiting.

What You'll Do

• Strategic Talent Mapping: Develop and execute innovative sourcing strategies to identify and attract top-tier talent for roles in Research/ML Engineering, Platform & Software Engineering and Product Engineering

• Creative Sourcing: Go beyond LinkedIn. Utilize a variety of channels including academic conferences (NeurIPS, ICML, ICLR), research publications (arXiv, Google Scholar), open-source communities (GitHub, Hugging Face), and professional networks to find exceptional candidates.

• Pipeline Generation: Build and maintain a robust pipeline of qualified, passive candidates for current and future hiring needs, ensuring a healthy influx of talent for our most critical roles.

• Personalized Outreach: Craft compelling, personalized, and authentic outreach messages that resonate with a highly technical and sought-after audience. You understand that a generic message won't work.

• Candidate Engagement: Act as the first point of contact for candidates entering the process with Cartesia, to deliver an exceptional candidate experience

• Partnership: Collaborate closely with Recruiting and hiring managers to understand the precise technical requirements and nuances of each role, continuously calibrating your search.

What You'll Bring

• 2-5 years of experience in technical sourcing, with a focus on either Research or Engineering hiring

• A proven ability to source for highly specialized technical roles. You are comfortable discussing concepts related to machine learning, deep learning, NLP, or large-scale systems

• A track record of leveraging sourcing techniques including Boolean search, talent mapping, and navigating complex online ecosystems to uncover talent

• Excellent written and verbal communication skills, with the ability to craft messages that are both technically credible and personally engaging

• A relentless drive to find the best talent and a deep curiosity about the AI landscape that fuels your search.

• Meticulous attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines.

Our culture

Were an in-person team based out of San Francisco. We love being in the office, hanging out together and learning from each other everyday.

We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we dont sacrifice quality and design along the way.

We support each other. We have an open and inclusive culture thats focused on giving everyone the resources they need to succeed.

Our perks

Lunch, dinner and snacks at the office.

Fully covered medical, dental, and vision insurance for employees.

401(k).

? Relocation and immigration support.

Your own personal Yoshi.

• Own end-to-end recruitment for Research teams, and other specialized technical roles.
• Source world-class talent through LinkedIn Recruiter, Gem, Juicebox , and other platforms-plus academic channels, publications, and conferences.
• Develop and execute data-driven sourcing strategies to target niche AI research talent.
• Partner closely with hiring managers to define role requirements, success profiles, and evaluation criteria.
• Build and maintain strong candidate pipelines, nurturing long-term relationships with passive talent.
• Manage interviews, candidate experience, and offer negotiations to close top talent in a competitive market.
• Track recruiting funnel metrics and provide data-driven insights to optimize hiring velocity and quality.

• 4+ years of full-cycle technical recruiting experience, ideally in AI/ML, research, or deep tech.
• Proven track record sourcing and closing research-focused candidates (e.g., AI scientists, ML engineers).
• Expert use of LinkedIn Recruiter, Gem, Juicebox, and other sourcing tools.
• Data-driven mindset with the ability to measure, analyze, and improve recruiting performance.
• Comfortable with deep research into niche technical fields, publications, and academic networks.

• Work directly with founders from DeepMind and top AI research backgrounds.
• Join a small, high-velocity team where your work directly impacts our trajectory.
• Competitive compensation, meaningful equity, and the chance to help shape the future of AI research.
  
  Note: This role is onsite in San Francisco . We are unable to consider remote candidates for this position.

Need Banking domain experience. Good data analysis and SQL skills and very good with large data crunching. Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst. Experience leading projects end to end including international stakeholders. Conduct end-to-end evaluations of existing processes to design and implement process enhancements.

Need Banking domain exp is must.

Need good Data analysis and sql skills and very good with large data crunching
• Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst
• Experience leading projects end to end including international stakeholders
• Conduct end-to-end evaluations of existing processes to design and implement process enhancements and role redesigns to streamline operations and improve efficiency
• Financial markets domain - require to have basic knowledge and understanding of Capital Market Products - EQ, Rates - Bonds & IRS, Credit - CDS and Bonds, Commodities etc. along with understanding of basic trade life cycle (from dealer broker perspective)
• Experience working with relational / non-relational databases to turn into insights
• Experience with tools like SQL, Excel & Advanced Excel, Project Management tools like Jira, Confluence, SharePoint
• Hands-on experience in Scripting Languages (Python)
• Experience in troubleshooting code and logs
• Excellent interpersonal and communication skills in English

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers (

Reporting to the Data Operations Lead in the DuPont Water Solutions business, the Data Analysis Intern will be responsible for evaluating data integrity to support the business functions. DWS has multiple sources for its databases and conflicts must be researched and resolved. The intern will work in Microsoft Excel identifying errors or missing data, leverage AI and other sources of information to resolve the errors and propose solutions. The intern will be able to meet with members of our DWS cross functional teams and learn how we use our data in day-to-day and long-term decision making (supply chain, product management, marketing, strategy, finance).

Some possible work assignments might be:

• Using AI and web searches to identify “Customer Groups” within our global customer list (i.e. companies with the same parent corporation)

• Comparing related datasets from different systems to find and fix discrepancies

• Automating data cleaning and data manipulation tasks using Power Query (functionality within Excel)

Role Requirements

• High school senior

• Interest in learning Microsoft Excel and working with AI platforms.

• Interest in data analysis and best practices for data management

• Highly motivated and results-driven student willing to learn

• Strong organizational and time management skills

• Ability to work in the office as needed

Join our Talent Community ( to stay connected with us!

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information ( .

DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page ( .

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.