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Systems Integration Engineer jobs at Peraton - 4295 jobs

  • Systems Analyst - Strategic Planning

    Peraton 3.2company rating

    Systems integration engineer job at Peraton

    Responsibilities Peraton is seeking a strategic forward thinker with initiative, ownership, and technical skills to join our team in Brook Park, Ohio in support of the NASA Glenn Engineering and Research Support (GEARS) Contract team supporting a research and engineering application support infrastructure. CAD and PLM solutions and IT strategic planning are just two of the services provided to the NASA community and the Peraton contract station. The selected candidate will work in a dynamic, team-based environment that advances requirements, preparation, configuration, and integration for research and engineering resources and applications throughout the NASA Glenn Research Center. The selected individual will maintain a specific focus on strategic planning, consolidation efforts, and coordination with Center and Agency IT Master Planning activities. The new hire will assist the Research and Engineering Directorate Strategic Lead with IT requirements definition and review of options, support Agency and Center IT consolidation efforts, act as a technical resource for IT issues and interactions with the GRC OCIO, assist in the coordination with other IT Service providers (i.e. networks, security, procurement, etc.), and assist in the development and execution of the Directorate's IT technology roadmap and technology planning. Responsibilities of the position: * Support the collection of requirements, specifications, and recommendations for hardware and/or software upgrades to the Research and Engineering architecture and environment. Recommend changes in configuration to optimize performance and utilization of environment resources. * Support coordination with the OCIO Organization to ensure that the technical and IT Security requirements of Code L are properly addressed. This includes, but is not limited to, attending required meetings, review of technical proposals, development of technical requirements and specifications, preparing responses to IT data calls, testing proposed solutions to determine potential impacts, documenting infrastructure issues so they can be provided to Code L Senior Management, assisting the Code L IT Resources Manager in the development and implementation of IT Governance within Code L, and development of usage statistics to be used by Code L for budgetary and resource planning activities. * Provide strategic support including research, coordination, tracking and documentation for the purpose of planning, facilitating and enhancing all Research and Engineering related operations. (e.g., equipment database, software usage, committee support, system administrator backup, technology and product review/enhancement, seminars, demonstrations, user training/instruction, various organizational meeting support, stock/purchase requests, computer supply distribution, H/W and S/W upgrades and the development of computer related procedures and policies). * Support coordination with a Vendor(s) to determine, when required, an implementation plan to bring on-site additional specialized Research and Engineering Applications support personnel to assist the task with the installation, upgrading, and migration of our current Research and Engineering Applications. This would also include assistance in the migration of required data. * Support Consolidation, IT Enterprise architecture, and Strategic planning activities which include but are not limited to: * Requirements definition, options review, transition planning, integration, and operational activities in cooperation with the GRC OCIO Data Center staff. * Formulation of data center consolidation planning, within Code L, the Center and Agency. * Development of Service Level Agreements to ensure the organization is getting IT Service from the Data Center or other IT Service providers which address the requirements and operational needs of Code L, and support Center and Agency IT consolidation efforts. * Participation in Strategic planning and Enterprise IT Architecture activities. * Participation in new License and Application Management strategic planning activities and Agency consolidation efforts. Qualifications Required Experience: * Bachelor degree and 5 years of experience - computer science, software engineering, systems analysis, information systems. * Demonstrated understanding of the development and support of IT Strategic and Tactical initiatives. * Strong understanding of Digital Transformation and Engineering practices and adoption. * Working knowledge of data management (ITAR, CUI), applications (integration and configuration), product lifecycle management (PLM, SDLC), and configuration management. * Skilled with the integration of applications with hardware and other software through APIs or COTS interface. * Must be a US Citizen Desired Experience: * Strong presentation and verbal skills and the ability to communicate with different audiences. * Familiarity with ITIL best practices. * Understanding of multi-Factor Authentication and ODIC, Entra ID, and SAML. * Basic understanding of Engineering and Research applications supporting mechanical, electrical, chemical, software engineering. * Familiarity with latest technologies: AI, ML, Cloud, Kubernetes. * Understanding of IT Strategic Risk Management best practices. * Previous involvement in interpreting and applying IT governance and policy. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
    $86k-138k yearly Auto-Apply 60d+ ago
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  • Cellular & Wireless Systems Integration Engineer

    Rivian 4.1company rating

    Irvine, CA jobs

    A leading automotive technology company in California is seeking a Cellular and Wireless Integration Engineer to work on connectivity features for vehicles. This role involves cellular testing, documentation, and collaboration with development teams. Ideal candidates hold a Bachelor's degree in a relevant field and possess a solid understanding of 5G and LTE protocols. A keen interest in telematics and Linux proficiency are critical. Competitive salary and benefits package offered. #J-18808-Ljbffr
    $143k-186k yearly est. 2d ago
  • Cellular & Wireless Systems Integration Engineer

    Rivian 4.1company rating

    Palo Alto, CA jobs

    A leading automotive technology company in California is seeking a Cellular and Wireless Integration Engineer to work on connectivity features for vehicles. This role involves cellular testing, documentation, and collaboration with development teams. Ideal candidates hold a Bachelor's degree in a relevant field and possess a solid understanding of 5G and LTE protocols. A keen interest in telematics and Linux proficiency are critical. Competitive salary and benefits package offered. #J-18808-Ljbffr
    $145k-187k yearly est. 2d ago
  • Autonomous Vehicle Embedded Systems Integration Engineer

    Medium 4.0company rating

    Chicago, IL jobs

    A leading technology company based in Chicago is seeking an individual to join their runtime team. In this role, you will integrate and optimize automotive on-vehicle systems for autonomous driving. Candidates should have a strong background in software development, particularly in C programming, and familiar with AUTOSAR frameworks. You will be expected to manage system diagnostics, support vehicle platform integration, and ensure quality compliance. The role offers a salary range of $130,000 - $180,000 annually and involves travel to testing locations. #J-18808-Ljbffr
    $130k-180k yearly 5d ago
  • Senior Applied ML Engineer - Training Pipelines & AI Systems

    Solana Foundation 4.5company rating

    San Francisco, CA jobs

    A leading AI infrastructure company in San Francisco seeks an experienced engineer to build and improve core ML systems for training custom AI models. The role requires 2+ years of experience in training AI models, proficiency in PyTorch, and familiarity with NVIDIA GPUs. Responsibilities include leading projects from data intake through the full training pipeline, building data processing systems, and creating visualization tools. Competitive salary ranging from $220K to $320K plus equity and benefits offered. #J-18808-Ljbffr
    $220k-320k yearly 4d ago
  • Staff Engineer, HIL & AI Pilot Systems

    Shield Ai 4.5company rating

    Washington, DC jobs

    A leading aerospace technology firm in Washington seeks a HIL Integration Engineer to drive integration and testing of AI solutions. This role involves designing Hardware-In-The-Loop systems, sensor integration, and creating automated testing tools. Candidates should have 7+ years of hands-on engineering experience, proficiency in Python or C++, and the ability to obtain a SECRET clearance. The position offers competitive compensation ranging from $140,000 to $210,000 annually, along with a full-time employee benefits package including bonuses and equity. #J-18808-Ljbffr
    $140k-210k yearly 5d ago
  • Enterprise IT Solutions Consultant

    Oomnitza, Inc. 3.7company rating

    San Francisco, CA jobs

    A technology management company based in San Francisco is seeking a Technical Consultant to deliver customer solutions and enhance satisfaction. Ideal candidates will have 1-3 years of implementation consulting experience and strong communication skills. The role involves creating deliverables, managing multiple projects, and articulating product value. A competitive salary range of $105-135k is offered, along with opportunities for career growth in a fast-growing venture-backed business. #J-18808-Ljbffr
    $105k-135k yearly 3d ago
  • Staff ML Engineer, Product

    Truebill 3.6company rating

    San Francisco, CA jobs

    ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $210k-260k yearly 5d ago
  • Startup Solutions Engineer - Deploy & Scale AI Apps on API

    Openai 4.2company rating

    San Francisco, CA jobs

    A leading AI research firm in San Francisco is looking for a Solutions Engineer to guide startup customers through the development of innovative AI applications on the OpenAI API. The role involves collaborating closely with various teams to ensure successful implementation and scaling of AI products, with an emphasis on delivering valuable insights and best practices. A hybrid work model and relocation assistance are provided. #J-18808-Ljbffr
    $118k-179k yearly est. 3d ago
  • Staff Hardware Systems Engineer - BIOS/Firmware Lead

    Crusoe 4.1company rating

    San Francisco, CA jobs

    A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr
    $117k-170k yearly est. 4d ago
  • Staff Hardware Systems Engineer - BIOS/Firmware Lead

    Crusoe 4.1company rating

    Sunnyvale, CA jobs

    A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr
    $116k-169k yearly est. 4d ago
  • Staff ML Engineer: AI Product & Platform Leader

    Truebill 3.6company rating

    San Francisco, CA jobs

    A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr
    $108k-182k yearly est. 5d ago
  • Automated Material Handling Systems Engineer

    Resilience 4.4company rating

    Hamilton, OH jobs

    A career at Resilience is more than just a job - it's an opportunity to change the future. Resilience is a technology-focused biomanufacturing company that's changing the way medicine is made. We're building a sustainable network of high-tech, end-to-end manufacturing solutions to better withstand disruptive events, serve scientific discovery, and reach those in need. For more information, please visit Brief Job Description This position provides engineering support for GMP and non-GMP, utility systems, and related equipment. This position will focus on support for Automated Material Handling systems. Job Responsibilities (Including Key Result Areas, Specific Accountabilities, Tasks, Etc.) Coordinate the activities of third-party representatives. Provides Facilities support on Capital Projects Understands and follows site specifications for all projects. Ensures good engineering and documentation practices are used during job activities. Conduct troubleshooting activities to support Facilities utilities and systems. Gather, organize, and communicate operational information to others. Coordinate investigations and studies. Use CMMS (Computerized Maintenance Management System) to manage logistics. Identify temporary and permanent fixes to address issues. Initiate appropriate actions when process deviations occur. Mange and own change controls, corrective actions, impact assessments, change control action items, deviations, and periodic reviews. Monitor records to ensure compliance with regulatory requirements. Coordinate with representatives from other departments. Attend team meetings to discuss progress, initiatives, and/or other matters. Monitor equipment and/or systems for performance and problem indicators. Perform data entry. Read, understand, and comply with cGMP (Good Manufacturing Practices) and SOPs (Standard Operating Procedures), including general safety, and lock out tag out. Wear gowning and PPE (Personal Protective Equipment) as required by specific activities. Maintains equipment and systems along with their certification records. Read and interpret diagrams, drawings, and other schematics. Support Facilities utilities and systems for issues or utilities improvements. . Guide others on SOPs (Standard Operating Procedures), control documents, and/or other work instructions. Coordinate activities of support groups. Analyze trends in data in order to provide accurate descriptions, identify root causes, and/or identify solutions or improvements. Perform regular audits of SOPs (Standard Operating Procedures) and/or work instructions. Review and approve documentation needed for qualification of equipment and processes. Write, review, and revise SOPs (Standard Operating Procedures) for maintenance of equipment, systems, and/or facilities. Attend inter-departmental meetings to discuss matters involving the coordination of multiple departments. Interact with other departments to implement corrective/preventative actions. Participate in cross-functional teams to meet strategic goals. Read technical publications and manuals and write associated procedures. Collect, record, and report metrics. Assess and implement improvements in productivity, waste generation, quality and cost. Provide input on the engineering of replacement parts. Assist process engineering and managers with improvement projects . Coordinate qualification activities. Create specifications for equipment. Create, generate, type, proof, and distribute correspondences. Answer questions from others regarding parts, capital, sending parts out for repair, purchasing, and/or reliability. Manage small capital projects to ensure on-time and in-budget completion. Coordinate the activities of third-party representatives. Manage supplier activities during design, fabrication, installation, commissioning, and qualification. Organize shutdowns and/or maintenance windows. Provide 24/7 "on-call" support to others. Provide, verify, measure, and revise drawings. Review specifications, drawings, coding procedures, and guidelines Education, Qualifications, Skills, and Experience Minimum Requirements Experience with Facilities systems and equipment Strong Interpersonal Skills, Self-Motivated Strong Organizational Skills Strong communication skills, written and verbal skills Preferred Background Bachelor's degree in engineering 2-3 Years engineering experience related to Facilities/Utilities systems Experience working in a GMP/cGMP regulated production environment. Resilience is an Equal Employment Opportunity 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, disability status, physical or mental disability, genetic information, or characteristic, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Requests for reasonable accommodation can be made at any stage of the recruitment process. Resilience offers employees a robust total rewards program including an annual cash bonus program, a 401(k) plan with a generous company match and our benefits package which is thoughtfully designed to support our employees with great healthcare (including medical, dental and vision), family building benefits, life and disability insurance, flexible time off, paid holidays, other paid leaves of absence, tuition reimbursement and support for caregiving needs. Our target base pay hiring range for this position is $60,000.00 - $90,000.00 per year. Actual base pay is dependent upon a number of factors, including but not limited to, the candidate's geographical location, relevant experience, qualifications, skills and knowledge. Excited about Resilience and the biomanufacturing revolution? We encourage you to apply and start a conversation with one of our recruiters. Compensation details: 0 Yearly Salary PIfb7257db1d13-2142
    $60k-90k yearly 2d ago
  • Audio Systems Engineer

    Sesame 4.7company rating

    San Francisco, CA jobs

    Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role Join our team to craft a unique take on smart wearable devices with incredibly compact audio capabilities. We're looking for an experienced Audio System Engineer to define, tune, evaluate, and ship high‑quality speech reproduction systems and spatialized audio capture solutions. Responsibilities Own all aspects of shipping consumer electronic products with market‑leading audio performance independently or with the support of the Audio Lead, depending on experience level. Create the transfer function from Product Level Requirement Documents to audio systems and transducer requirements to ensure product success. Design, analyze, and refine real‑time audio capture and render systems. Research and implement advanced technologies to optimize audio system integration. Continuously learn and explore new technologies, setting benchmarks for user experiences. Collaborate on system architecture, including algorithms and tools, and oversee implementation. Evaluate third‑party audio technologies and keep abreast of industry developments. Understand the trade‑offs in various DSP and ML approaches/platforms for embedded solutions. Work with the cross‑functional team to innovate on audio solutions. Factory testing and build support throughout the product development cycle. Required Qualifications 4+ years of experience in audio hardware development. Experience in designing, tuning, and testing microphone arrays and real‑time audio capture. Proven track record in developing comprehensive audio solutions encompassing acoustics, transducers, digital interfaces, audio ICs, and DSPs. Extensive experience with audio testing systems (e.g., SoundCheck, Audio Precision, HATS testing). Strong background in DSP techniques (e.g., FIR/IIR filter design, beamforming, echo cancellation). Effective independent operation and teamwork in a dynamic, cross‑functional setting. Experience with acoustic simulation software, e.g., COMSOL. Bachelor's degree in Electrical Engineering, Computer Science, Acoustics, or similar. Preferred Qualifications 8+ years of experience in audio hardware development. Proficiency in a high‑level programming language (e.g., MATLAB, Python). Familiarity with human perception of sound. Experience with psycho‑acoustic metrics and evaluation of speech quality and intelligibility. Familiarity with audio rendering techniques and speaker technologies. Experience in acoustics and consumer audio EE architecture. Familiarity with audio algorithm development, ML techniques, and/or NN implementations. M.Sc. or Ph.D. in EE, Comp.Sci., Acoustic, or related disciplines. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities-contact ****************** for assistance. Full‑time Employee Benefits 401k matching 100% employer‑paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers. #J-18808-Ljbffr
    $62k-77k yearly est. 4d ago
  • Automated Systems Engineer

    Patterns LLC 4.1company rating

    Hauppauge, NY jobs

    An Automated Systems Engineer is responsible for providing hands-on controls and electrical engineering support to correct, repair, and improve machinery, equipment and systems company-wide. This position is full-time, Monday through Friday, from 8:00AM - 4:00PM. Responsibilities: Troubleshoot and repair PLC electrical and control related issues. Design and implement machine changes and improvements, including creating new control systems. Draft new electrical drawings and modify existing electrical drawings. Organize and maintain latest machine PLC programs, HMI programs, electrical drawings, and user manuals. Communicate and work with maintenance and engineering personnel to resolve issues in a timely manner. Procure parts and materials required for machine maintenance. Assist in initiation of change control if new parts deviate from original specifications. Assist in qualification of equipment. Supervise, mentor, and advise mechanics to ensure machine repairs and operations are conducted in a safe, responsible manner. Execute engineering support and maintenance to meet all requirements and yield a greater than 90% first time right. Keep current and implement technology to enhance operation performance. Act as role model exemplifying superb ethical conduct and decision making, teamwork, integrity, agility, respect and accountability. Requirements: Education and Experience: Bachelor's Degree in Electrical Engineering or equivalent hands-on experience Minimum of three years of work experience in related field Skills, Knowledge, and Abilities: Knowledge of controls software (PLC, HMI, and Servo) from Allen-Bradley, Siemens, and Mitsubishi. Knowledge of drafting software (AutoCAD) preferred. Knowledge of OSHA and NEC code requirements. Ability to follow company policies and procedures, including all SOPs. Computer skills must include Microsoft Office, Word and Outlook. Knowledge of cGMPs related to US FDA manufacturing environments.
    $80k-115k yearly est. 2d ago
  • Staff ML Engineer: AI Product & Platform Leader

    Truebill 3.6company rating

    Washington, DC jobs

    A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr
    $76k-119k yearly est. 5d ago
  • Staff ML Engineer, Product

    Truebill 3.6company rating

    Washington, DC jobs

    ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $76k-119k yearly est. 5d ago
  • Embedded Linux Engineer (Rust/C++) for Satellite Tech

    Farcast Inc. 3.9company rating

    San Francisco, CA jobs

    A leading satellite technology company in San Francisco is seeking an Embedded Software Engineer. The role involves developing control software for next-generation satellite communications hardware, with responsibilities including performance-critical software implementation and embedded Linux development. Candidates should have over 5 years of embedded software experience, with proficiency in Rust or C/C++. The position offers a competitive salary between $160,000 and $200,000 annually, along with several benefits including stock ownership and health insurance. #J-18808-Ljbffr
    $160k-200k yearly 3d ago
  • Staff ML Engineer, Product

    Truebill 3.6company rating

    New York, NY jobs

    ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr
    $65k-102k yearly est. 5d ago
  • Staff ML Engineer: AI Product & Platform Leader

    Truebill 3.6company rating

    New York, NY jobs

    A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr
    $65k-102k yearly est. 5d ago

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