23 Researchers jobs in St. Louis

Lawrence Berkeley National Lab's (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Computer Research Scientist to join the team.

In this exciting role, you will conduct research and development of optimization-based planning methodologies for power grids. These methodologies will be used to enhance the LBNL portfolio of models and tools in the area of grid planning, supported by the DOE - Office of Electricity.

Included in the Grid Integration Group of the Energy Storage and Distributed resource division, the Grid Planning and Economics team develops models and software solutions to support decisions around power systems planning, economics as well as electricity markets and policy.

Examples of successful models developed by the Grid Planning and Economics team include:

• The Security-constrained AC OPF algorithm, which received a top performer prize in Challenge 2 of the ARPA-e Grid Optimization Competition.


• The resilient distribution expansion model, developed in partnership with the industry, which was recently made available as a prototype tool.


• Different models for microgrid planning, covering different design aspects, such as distribution grid or multi-energy representations, included LBNL's DER-CAM tool.

The Career-Track Research Scientist is expected to play a key role in achieving the goals of the Grid Integration Group by contributing to achieving the following objectives:

1. Advance the knowledge in power systems optimization applied to power grid planning.


2. Research projects and tasks in partnership with distribution utilities.


3. Develop, test new optimization techniques and approaches, to support grid planning.


4. Collaborate with the team and lead support staff in the development of robust, accurate, and scalable optimization software solutions that can be transformed into grid planning tools.


5. Contributes to the conceptualization, development and writing of successful proposals for advancing the global knowledge and understanding of various aspects of power system economics.

The position requires excellent ability to think innovatively and independently, and contribute to explore, accomplish, test and demonstrate advancements in power system planning and economics, while also being mindful of real-world implementation of grid planning methodologies and understanding their policy and regulatory contexts.

What You Will Do:

• Develop, test, and implement optimization models applied to power system planning and economics.


• Manage high-impact R&D projects, in partnership with utilities, in the field of advanced grid modeling and power systems optimization.


• Implement and review model formulations and software code.


• Analyze different contexts of power grid planning/operation and develop consistent research plans, including adequate optimization model requirements, formulation, and software architecture solutions for the implementation.


• Contribute to the dissemination of the Group's scientific and engineering advances through publications in peer-reviewed journals and other relevant technical media, presentations at conferences and via webinars, and through development and participation in training programs.


• Perform the detailed analysis of data from these tests or simulations and their dissemination and publication.


• Learn and keep-up with advances in technology, theory, and software relevant planning and operation of power grids.


• Interface with internal collaborators, research and technical staff, leadership, and administrative staff of the Energy Technologies Area, and funding sponsors.


• Assist in identifying new funding opportunities aligned with the strategic interests of the Grid Integration Group and prepare proposals in response.


• Lead, and mentor postdoctoral fellows, technical staff, graduate students and other group members as necessary.


• Attend group meetings, and present status reports and scientific findings at group meetings, conferences, and workshops.


• Keep an accurate and detailed record of laboratory and analytical work.

What is Required:

• Advanced degree in Electrical Engineering, Power Systems, Operations Research or related field.


• Demonstrated experience in power systems modeling, both in simulation and optimization environment.


• Demonstrated experience in developing/demonstrating grid planning tools in collaboration with the industry.


• A good understanding of the power systems' economic contexts, including distribution operator decision-making processes in different regulatory environments.


• Demonstrated experience designing high performance optimization algorithms and implementations


• Solid background in operations research applied to power systems.


• Solid experience developing optimization models in Python and/or Julia.


• Familiarity with all three relevant fields of power engineering science: (1) optimal power flow, (2) grid planning and design; (3) power systems economics.


• Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy.


• Demonstrated ability to independently carry out creative research with a proven record of publications and achievement.


• Effective problem-solving and decision-making skills, with the ability to troubleshoot experimental processes and/or simulations, and provide analysis and offer solutions.


• Excellent organizational, analytical, and record-keeping skills.


• Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds.


• Highly effective interpersonal skills, with experience in establishing effective collaborations and interacting with members of the scientific and electrical power-related institutional agencies, and funding research sponsor communities.


• Excellent communication skills both verbal and writing, with demonstrated experience preparing funding proposals, writing technical reports, making presentations, interacting with internal and external clients.


• Excellent time management skills and the ability to prioritize competing deadlines.

Desired Qualifications:

• Postdoctoral experience.


• PhD in Electrical Engineering, Power Systems, Operations Research or related field.


• Experience leading R&D projects in the area of grid planning and/or power system economics.


• Experience developing and implementing power system models.

Please apply by May 2, 2025 with the following application materials:

• Curriculum Vitae.


• Publication list


• Names and contact information for at least three individuals who can write letters of reference

Notes:

• This is a full time, 1 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.


• This full salary range of this position is between $92,701 to $22,474 per year and is expected to pay between a targeted range of 140,904 to 155,736 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.


• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.


• This position is eligible for a flexible work mode, with onsite or hybrid work being the preferred modes. Hybrid work is a combination of teleworking and performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley,

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs).Safety, Evaluations and Alignment Lab (SEAL) is Scale's new frontier research effort dedicated to building robust evaluation products and tackling the challenging research problems in evaluation and red teaming.

We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and the publication of our research findings. Below is a list of SEAL's representative projects:

• Design and implement robust evaluation benchmarks. Measure and improve eval reproducibility and reliability.


• Research and implement cutting-edge model assisted red teaming methods.


• Develop state of the art LLM based automated rating systems leveraging the Scale ecosystem for customized training data.


• Develop rater assist techniques such as critique modeling for improving rating quality.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry.


• Practical experience conducting technical research collaboratively, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.


• A track record of published research in machine learning, particularly in generative AI.


• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.


• Strong written and verbal communication skills to operate in a cross functional team.

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.


• Experience in crafting evaluations or a background in data science roles related to LLM technologies.


• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$176,000 — $300,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision .

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Salesforce AI Research is looking for outstanding research scientists.

Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?

At Salesforce, we have launched Einstein GPT, the world's first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.
Want to learn more? Check this out: Introducing Einstein GPT: The World's First Generative AI for CRM | Salesforce

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI . The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general.


Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects.

Minimum qualifications:

• Ph.D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.

• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.

• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.

• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).

• Proven ability to implement, operate, and deliver results via innovation at a large scale.

• Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents

Preferred qualifications:

• Full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at and explore our company benefits at .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce .

Salesforce welcomes all.

Scale partners with the world's leading AI labs to accelerate progress in frontier generative AI. We are building a dedicated research team focused on pushing the boundaries of speech generation, speech recognition, and speech-to-speech transformation. We are hiring Research Scientists and Research Engineers with deep expertise across text-to-speech (TTS), speech-to-speech (STS), and automatic speech recognition (ASR) to help define the next era of human-AI communication. In this role, you will invent and deploy new algorithms to expand the capabilities, fidelity, and generalization of large-scale audio models. You will shape research directions at the intersection of modeling, data, and evaluation for speech systems. You will collaborate with world-class researchers and directly contribute technical and strategic insights to the development of the next generation of open and proprietary foundation models in audio. We encourage collaborations within the industry and academia, and support the publication of research findings. Successful candidates will partner with top foundation model labs, providing both technical and strategic input on the development of the next generation of generative AI models. You will: Develop novel training and post-training techniques for audio models, advancing core areas such as speaker adaptation, prosody control, noise robustness, etc. Design new reward models and preference optimization techniques specifically for speech quality, emotion, and intelligibility in TTS, STS, and ASR. Investigate model failure modes in realistic deployment settings and propose scalable solutions for bias mitigation, robustness to accents, and long-tail speaker variation. Create industry-standard evaluations for the world's leading speech models Publish breakthrough research at leading conferences and shape best practices across the speech research community. We're looking for: Ph.D. or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field with a focus on speech or audio processing Deep understanding of neural generative models for audio, including recent advances in transformer-based architectures, diffusion models, and large-scale pretraining for speech. Experience with fine-tuning, reinforcement learning, or reward modeling for audio quality optimization or speech preference modeling. A strong research portfolio with publications at top venues such as Interspeech, NeurIPS, ICLR, ICML, ACL, or similar. Exceptional written and verbal communication skills, with the ability to clearly convey complex technical ideas to both internal and external partners. Prior experience working directly with model training, data curation, or evaluation at scale is a significant plus. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $176,000 — $255,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning , collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $220,000 — $325,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr