Job Description Role Summary At Citadel Securities, a leading global market maker, our team of Quantitative Developers and Research Engineers partner with Quantitative Researchers to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies. Opportunities available in Miami, Chicago, London, New York, Hong Kong, Sydney, Singapore Objectives - Design, develop, test, and deploy elegant software solutions for automated trading systems - Partner with the Quantitative Research team to define priorities and deliver custom software solution Skills and Preferred Qualifications - A deep passion for technology, software development, and mathematics - Proficiency within one or more programming languages, including C++, Python, and R - Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development - Exceptional quantitative and analytical skills - Bachelor's, Master's or PhD degree in Computer Science, Mathematics, Statistics, or equivalent experience - Strong written and verbal communications skills In accordance with applicable law, the base salary range for this role is $250,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs. About Citadel Securities Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The OpportunityVoice 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 RoleDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training. The ChallengeWe are seeking researchers 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 - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives - Broad surveying of literature, evaluating, classifying, and distilling current methods - Designing and carrying out experimental programs for LLMs - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production - Documenting and presenting results and complex technical concepts clearly for a target audience - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products You'll Love This Role if You - Are passionate about AI and excited about working on state of the art LLM research - Have an interest in producing and applying new science to help us develop and deploy large language models - Enjoy building from the ground up and love to create new systems. - Have strong communication skills and are able to translate complex concepts clearly - Are highly analytical and enjoy delving into detailed analyses when necessary It's Important to Us That You Have - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning - Strong experience coding in Python and working with Pytorch - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc) - Experience with distributed computing and large-scale data processing - Prior experience in conducting experimental programs and using results to optimize models It Would Be Great if You Had - Deep understanding of transformers, causal LMs, and their underlying architecture - Understanding of distributed training and distributed inference schemes for LLMs - Familiarity with RLHF labeling and training pipelines - Up-to-date knowledge of recent LLM techniques and developments The ChallengeWe are seeking researchers 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 - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives - Broad surveying of literature, evaluating, classifying, and distilling current methods - Designing and carrying out experimental programs for LLMs - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production - Documenting and presenting results and complex technical concepts clearly for a target audience - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products You'll Love This Role if You - Are passionate about AI and excited about working on state of the art LLM research - Have an interest in producing and applying new science to help us develop and deploy large language models - Enjoy building from the ground up and love to create new systems. - Have strong communication skills and are able to translate complex concepts clearly - Are highly analytical and enjoy delving into detailed analyses when necessary It's Important to Us That You Have - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning - Strong experience coding in Python and working with Pytorch - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc) - Experience with distributed computing and large-scale data processing - Prior experience in conducting experimental programs and using results to optimize models It Would Be Great if You Had - Deep understanding of transformers, causal LMs, and their underlying architecture - Understanding of distributed training and distributed inference schemes for LLMs - Familiarity with RLHF labeling and training pipelines - Up-to-date knowledge of recent LLM techniques and developments - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks Benefits & Perks* Holistic health - Medical, dental, vision benefits - Annual wellness stipend - Mental health support - Life, STD, LTD Income Insurance Plans Work/life blend - Unlimited PTO - Generous paid parental leave - Flexible schedule - 12 Paid US company holidays - Quarterly personal productivity stipend - One-time stipend for home office upgrades - 401(k) plan with company match - Tax Savings Programs Continuous learning - Learning / Education stipend - Participation in talks and conferences - Employee Resource Groups - AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M 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.

Principal Flight Icing Specialist Company: The Boeing Company At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Principal Flight Icing Specialist to join the Sustainable Flight Demonstrator Technology Team in Everett, WA, or Huntington Beach. Depending on experience remote work is an option. We are seeking an experienced aerospace research leader to direct and grow multidisciplinary research focused on flight-in icing prediction capabilities for aircraft and propulsion systems. The successful candidate will combine deep technical expertise in aerodynamic icing analysis and testing with demonstrated leadership as a principal investigator and program manager to execute research projects, develop strategic technology roadmaps, and maintain strong partnerships with government, industry, regulators, and academia. Position Responsibilities - Provide technical and strategic leadership for a research portfolio addressing aircraft and engine icing hazards. - Serve as Principal Investigator or technical lead for developing enhanced analytic and testing methods for ice crystals and ice shape prediction. - Supports wind tunnel testing, ground testing and flight testing at local and remote facilities. - Mentor early and mid-career engineers in a multidisciplinary team to develop a talent pipeline. - Define and implement long‑range research priorities informed by stakeholder needs. - Develop and manage program budgets, schedules, and risk mitigation plans. - Oversee and participate in development, validation, and dissemination of icing analysis tools and models for enterprise use. - Lead coordination with government agencies, regulators, suppliers, and academic partners to align technology development outcomes with design and certification needs. - Represent the organization in professional societies (e.g., AIAA, SAE) and standards committees; serve as a trusted external point of contact for icing research topics. Basic Qualifications (Required Skills/ Experience) - Bachelor’s Degree or higher - 10+ years of progressively responsible research and technical leadership experience in aircraft icing, propulsion system icing, or closely related aeronautics disciplines. - Fundamental understanding of convective heat and mass transfer and compressible flow physics. - Demonstrated experience as a Principal Investigator (PI) for large‑scale research campaigns or program lead of multi-disciplinary teams. - Strong background in experimental and analytic methods. Preferred Qualifications (Desired Skills/Experience) - Bachelor’s Degree or higher in Aerodynamics Engineering, Aerospace Engineering, or Mechanical Engineering. - Experience working with federal research organizations (e.g., NASA) or national laboratories or equivalent industry R&D leadership. - Familiarity with icing certification guidance, regulatory processes, and interaction with FAA/EASA. - Flight experience or operational knowledge of icing flight research. - Successful record of securing and managing collaborative research awards or interagency partnerships. - Experience with Icing analysis tools, including LEWICE, GlennICE, or FENSAP-ICE. - Active engagement in professional societies (AIAA, SAE), standards committees, or conference leadership. Travel 10% Drug Free Workplace Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $175,100 - $273,700 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify - E-Verify (English) - E-Verify (Spanish) Right to Work Statement - Right to Work (English) - Right to Work (Spanish)

• Research and develop state-of-the-art LLM and/or video or multimodality models • Implement the application of large models in business scenarios • Continuously optimize the training framework for large models on GPUs • Collaborate with broader teams across Tether