The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristicsWork with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product linesWork with massive datasets to develop both generic models as well as fine tune models for specific productsBuild the scalable ML platform to automate our ML serviceBe a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quicklyIdeally Youd Have:US Government Security Clearance is a requirement (TS/SCI preferred)Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environmentSolid background in algorithms, data structures, and object-oriented programmingStrong programing skills in Python or Javascript, experience in Tensorflow or PyTorchNice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specializationExperience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environmentExperience with generative AI modelsThe base salary range for this full-time position in Washington DC, is $200,800 - $240,960. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Scale employees are also granted Stock Options that are awarded upon board of director approval. Youll 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.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 affirmative action employer and 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 accommodations@scale.com. 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.#J-18808-Ljbffrby Jobble

Overview The Electricity Infrastructure and Buildings Division (EI&BD) of PNNL is accelerating the transition to a decarbonized, efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and in advanced data analytics to drive innovation, transform markets, and shape energy policy. This position is in the Building Simulation and Design Group (BS&DG) within EI&BD. BS&DG models and analyzes the impacts of policies and standards to advance energy efficiency in new construction, develops tools and workflows, and deploys them to speed the adoption of energy-efficient technologies. The Group stewards core research capabilities in building energy simulations, building energy policy, tool development for building applications, and electrical systems engineering. The BS&DG is looking for a Research Engineer III - Building Performance Standards (BPS) to take a leading role in research, analysis, and technical assistance to support the development, adoption, and implementation of BPS and other emerging policies for high-performance and decarbonized buildings (e.g. advanced energy codes). Responsibilities The selected candidate will use their knowledge and training in building sciences/systems, practical experience with high-performance commercial and multi-family building design, performance evaluation, energy retrofits, and portfolio management, and understanding of innovative building energy policy tools to help drive their implementation. Key activities will include: <ul> <li> Developing and refining analysis processes and tools for implementation, compliance, and enforcement of BPS policies. </li> <li> Analyzing energy, engineering, and economic data of new and existing buildings to inform policy decisions. </li> <li> Working in collaboration with multi-disciplinary teams in PNNL and various stakeholders to assess and document the impact of BPS policies in terms of energy and emissions savings, conduct studies, and make recommendations on the alignment of BPS policies and new construction codes. </li> <li> Providing direct technical assistance in BPS and building energy code policy to states, local governments, and non-profit organizations. </li> <li> Developing technical resources to support policy development and implementation, covering topics ranging from equitable policy development to compliance pathway alternatives. </li> </ul> Qualifications <h3>Minimum Qualifications</h3> <ul> <li> BS/BA and 5 years of relevant work experience -OR- </li> <li> MS/MA and 3 years of relevant work experience -OR- </li> <li> PhD with 1 year of relevant experience </li> </ul> <h3>Preferred Qualifications</h3> <ul> <li> Develop or contribute to research proposals for new project opportunities </li> <li> Select and develop technical approaches to projects </li> <li> Serve as the principal investigator or co-PI on multiple, complex projects and/or large tasks </li> <li> Lead scoping, scheduling, and budgeting for projects/tasks </li> <li> Demonstrate ability to acquire funding for self and task-level teams </li> <li> Manage research project teams with internal and external contributors </li> <li> Lead or contribute to the development of technical reports </li> <li> Represent PNNL at technical and policy conferences and forums </li> <li> Maintain productive engagements with funding sponsors and various external collaborators </li> <li> Mentor early career staff </li> <li> Uphold a high standard for quality, safety, and security </li> </ul> Hazardous Working Conditions/Environment Not applicable. Additional Information Not applicable. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. HSPD-12 PIV Credential Requirement In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. <ul> <li>Research Associates excluded.</li> </ul> **Once eligibility requirements are met. Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) Minimum Salary USD $107,900.00/Yr. Maximum Salary USD $161,700.00/Yr. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="7bb285efb1a0454ead5be1265956deb51624"></script>

Overview: Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nations most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details. Responsibilities: The Senior Network Research Engineer designs and develops models, algorithms, and tests to control and evaluate radios, networks, and applications. Tasks include, but are not limited to:<ul><li>Develop and/or integrate models to emulate/simulate networks and protocols</li><li>Design and develop networking protocols and associated algorithms for real or emulated networks</li><li>Develop relevant scenarios for testing and evaluation of wireless networks and networking protocols</li><li>Develop application layer software to model usage of tactical wireless networks</li><li>Develop or implement interfaces between application and network layers</li><li>Develop analysis tools for data collection, performance characterization, and visualization</li><li>Documents research analysis and test results</li><li>Provide regular briefings of technical progress</li></ul> Qualifications: Required Qualifications:<ul><li>Abilty to obtain and maintain a Secret clearance.</li><li>Must have experience with network research and engineering, network and communication protocols</li><li>Must have experience with network simulation and/or emulation</li><li>Must have experience with technical report writing</li><li>Must have experience with programming languages, e.g., Python, C++, Java</li><li>Must have a background in wireless communications and networks</li><li>Must have strong attention to detail</li><li>Must have the ability to work in a team environment</li><li>Must have excellent oral and written communications skills</li><li>Must have the following Education/Experience: BS 12-15, MS 10-13, PhD 8-10</li></ul>Desired Qualifications:<ul><li>A Self-starter requiring limited direction and supervision</li><li>Master's of Science Degree in Electrical Engineering, Systems Engineering, or Computer Science</li><li>Have experience with Machine Learning tools and frameworks, e.g., Tensorflow, Pytorch</li><li>Have experience with network simulation tools, e.g., ns3</li><li>Have experience developing and implementing prototypes for radio and network control algorithms</li></ul> EEO Statement: EEOArcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

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Research Engineer Jobs in Washington, DC

Aiml Ml Research Engineer In Speech Siri And Information IntelligenceMay 3, 2024

Machine Learning Research Engineer Public SectorApril 21, 2024

Machine Learning Research Engineer Public SectorApril 19, 2024

Research Engineer Iii Building Performance StandardsApril 18, 2024

Research Engineerresearch Physical ScientistApril 17, 2024

Applied Research Engineer Member Of Technical StaffApril 12, 2024

Sr Network Research EngineerApril 6, 2024