Top Washington D C Jobs

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

Our Machine Learning team develops novel deep learning models to address immediate customer needs and to ensure Palantir’s platforms offer unparalleled machine learning capabilities.

We are looking for someone that is passionate about natural language processing (NLP) and Large Language Models (LLM), likes to push the boundaries of what is possible, and wants to solve hard problems on top of unique datasets. As a Machine Learning Researcher, you will be responsible for implementing, customizing, and inventing NLP/LLM deep learning techniques for some of the most unique datasets. This role will implement novel deep learning architectures to enable end-to-end solutions in the areas of information retrieval (IR), question answering, document summarization, entity, event and relationship extraction and classification, as well as structured text extraction from documents.

Core Responsibilities

• Read, present, and implement research papers on NLP/LLM with an emphasis on the broader area of named entity recognition, information retrieval, structured text extraction from documents, question answering, and document summarization
• Modify and/or invent novel techniques in entity, event and relationship extraction and classification, summarization, question answering, and structured text extraction from documents
• Work closely with engineering teams to push innovative deep learning models to production
• Propose and implement new ideas/directions in NLP/LLM that can effectively solve customer problems

• Python
• PyTorch
• Hugging Face
• DeepSpeed
• Docker

• Background in NLP/LLM and Deep learning
• Proficiency with any of the major Deep Learning frameworks
• Excellent communication and collaboration skills

• MS or PhD in Computer Science or related fields
• Experience with the latest LLMs such as LLama, OPT, Alpaca, Dolly, Pythia, GPT-NeoX, FLAN, etc.
• Experience with causal/masked language modeling, prompt tuning and engineering, instruction tuning, and/or RLHF
• Experience with implementing or fine-tuning deep learning models in the area of NER, summarization, question answering, IR and structured text extraction from documents

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the positing is specified as Onsite, you are required to work from an office.

Palantir is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Palantirians share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world’s hardest problems. Palantir does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Palantir is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information.

Palantir is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible) and need to request a reasonable accommodation for any part of the application or hiring process, please reach out and let us know how we can help.

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

Our Machine Learning team develops state of the art deep learning models to address immediate customer needs and to ensure Palantir’s platforms offer unparalleled machine learning capabilities.

We are looking for someone that is passionate about ML systems of natural language processing (NLP) and deep learning to lead the design and implementation of ML infrastructure to train and serve deep learning models. In this role, you will build innovative NLP products that facilitate an enhanced user experience in operational workflows. You will work with ML researchers on the latest deep learning models to build solutions in areas of information retrieval (IR), question answering, document summarization, entity, event and relationship extraction and classification, as well as structured text extraction from documents.

Core Responsibilities

• Architect performant, efficient, secure and scalable systems to tune, serve and evaluate large language models
• Drive implementation, testing, releases and monitoring for data processing pipelines and ML products
• Work closely with machine learning researchers to align model development with business needs and technical landscape, support development and deployment of models
• Partner with internal infrastructure teams to integrate deep learning models with existing tools and systems
• Stay up to date with the latest advances in ML infrastructure and MLOps to develop and maintain efficient systems

• Programming languages: Python / Java
• Deep learning frameworks: PyTorch / Hugging Face / DeepSpeed
• Inference engine: ONNX / TensorRT
• Web-service protocols: RESTful / gRPC
• Cloud-based technologies: Docker / Kubernetes

• Background in natural language processing and deep learning, experience with large language models
• Proficiency with any of the major deep learning frameworks
• Experience designing and implementing ML infrastructure to train and deploy large language models
• Experience with cloud-based platforms and tools
• Excellent communication and problem solving skills, ability to work independently and as part of a team

• At least two years of experience in backend development with an emphasis on deploying deep learning models in production
• MS in Computer Science or related fields

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the positing is specified as Onsite, you are required to work from an office.

Palantir is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Palantirians share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world’s hardest problems. Palantir does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Palantir is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information.

Palantir is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible) and need to request a reasonable accommodation for any part of the application or hiring process, please reach out and let us know how we can help.

About Cobalt Robotics:

www.cobaltrobotics.com

At Cobalt Robotics, our indoor robots work together with remote human operators to keep our customers safe. We patrol 24x7 to help prevent break-ins, detect massive leaks and give our customers visibility over their space, their assets, and their data.

Cobalt's team is comprised of renowned technologists and security professionals, and backed by world-class investors such as Sequoia, Bloomberg Beta, and Coatue. In 2019, Cobalt was recognized as one of the Best Places to Work by the Silicon Valley Business Journal and the San Francisco Business Times.

We’re looking for people who want to make an impact with us and help build a company that is known for its excellence in engineering, passion for progress, and dedication to customers.

___________________________________________________________________________

About The role: The Reserve Engineer (RE) is someone who is knowledgeable with computer hardware and provides our clients with top-notch customer service. The RE serves as Cobalt's "boots on the ground" and are part of our rapid-response field-operations team in the event a hardware-failure happens at a client site. Occasionally, REs assist with field projects and new robot deployments. The RE an essential role-player in keeping our robots operating and our clients happy. Please note, this is not a remote position.

What You'll Do

• Learn our robot hardware inside and out to be comfortable servicing and maintaining our machine. (we'll provide the paid training)
• Communicate with both technical and non-technical teammates with field repairs and projects.
• Ensure hardware failures on our robots are addressed, and resolved within a safe and timely manner.
• Occasionally assist with field operation projects and new robot deployments
• Be dispatched to client sites within your area to resolve hardware failures 1-3 times a month(potentially more)
• Reports to a Regional Project Manager for tasking and delegation.

• You're excited about robotics, artificial intelligence, machine learning, and willing to learn
• You're familiar with hardware assembly and disassembly.(Tool kit with basic hand tools will be provided)
• You're Familiar with computer hardware and small electrical components(proprietary training will be provided)
• You're an excellent communicator and comfortable collaborating and receiving instruction on platforms such as Slack, GoogleMeet/Hangout etc.
• You are available during days and times within Mon-Fri, 9a-5p. (Flex/Oncall schedule)
• You're open to support jobs that may occur after hours(5pm-9am) and on weekends.(Flex/Oncall schedule)
• You're presentable and comfortable speaking to clients from Fortune 100 & 500 companies.
• You love providing great customer service.

• Experience with robotics
• Experience with computer hardware and electrical components
• Experience working in a fast-paced startup environment.
• Military/First Responder
• Associate degree or higher

Interested? Apply now!

Curious to see the robot? Check out our YouTube.

The Reserve Engineer is a 1099 contractor position at Cobalt Robotics and is NOT a remote position. Compensation range is between $20-$50/USD hr DOE. Cobalt Robotics does NOT pay for relocation for this role.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Who we are

Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

Our founders, Spence and John met at Google working on Google Translate.  As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – Lilt. 

At its core, Lilt has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so Lilt assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, Lilt has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.

As a result, Lilt’s AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback.

Our team is located in San Francisco, Indianapolis, DC, Boston, Berlin, and London. 

What you’ll do

We're looking for a Junior Localization Engineer who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, is comfortable with customer-facing interactions and the ability to manage multiple projects at once.

As a Localization Engineer, you'll be tasked with supporting our Production teams with technology-enabled workflow and integration tools used to produce our overall deliverables. 

Key Responsabilities

• Assisting with project tasks such as creating and executing pre- and post-processing file filters when needed.
• Deploy, monitor, and troubleshoot system integrations Supporting the Solutions team with operational delivery work as needed.
• Write scripts for pre-processing segments and QA rules using regex.
• Providing feedback and suggestions for process improvements.
• Identify technical optimizations to workflow/solution.
• Develop and iterate on internal processes to ensure consistency across our solutions engagements.
• Work closely with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success.

• At least 2+ years of experience in a technical post-sales role at a language services company.
• Experience working as a full-time localization engineer at any point in your career.
• Experience with scripting languages and regular expressions
• Experience in delivering customer-focused solutions.
• Experience working with a complex services-oriented solution.
• A passion for technical and solution-based problem-solving.
• Analytical approach to intelligence gathering, and project planning.
• Outstanding verbal and written communication skills; ability to interact easily with end users and customer system administrators.
• Keen attention to detail and adherence to deadlines.
• Deeply curious -- this person is not afraid to ask hard questions.
• Strong desire to learn in a rapidly growing and dynamic startup environment.
• Self-motivated and inspired by a results-driven environment.

For US Locations: Authorization to work in the U.S. is a precondition of employment.

Lilt is an equal-opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.