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A leading digital payments platform in San Jose is seeking a Machine Learning Engineer to assist in designing, developing, and implementing machine learning models. The ideal candidate will collaborate with engineers and data scientists to enhance services through innovative AI/ML solutions. Requirements include a Bachelor's degree and familiarity with ML frameworks. This role offers a hybrid work environment, promoting a balance between office and remote work. #J-18808-Ljbffr

Staff Machine Learning Engineer, Level 6 page is loaded Staff Machine Learning Engineer, Level 6Apply locations Palo Alto, California Seattle, Washington Santa Monica - 2850 Ocean Park Blvd San Francisco, California New York, New York time type Full time posted on Posted 30+ Days Ago time left to apply End Date: June 30, 2025 (26 days left to apply) job requisition id Q225SWEML8 Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Staff Machine Learning Engineer to join Snap Inc! What you'll do: Create models which help drive value for users, advertisers, and our company Evaluate the technical tradeoffs of every decision Perform code reviews and ensure exceptional code quality Build robust, lasting, and scalable products Iterate quickly without compromising quality Knowledge, Skills & Abilities: Strong understanding of machine learning approaches and algorithms Able to prioritize duties and work well on your own Ability to work with both internal and external partners Skilled at solving open ambiguous problems Strong collaboration and mentorship skills Minimum Qualifications: Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience 8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning Preferred Qualifications: Advanced degree in computer science or related field Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks Experience working with machine learning, ranking infrastructures, and system design If you have a disability or special need that requires accommodation, please don't be shy and provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $229,000-$343,000 annually. Zone B : The base salary range for this position is $218,000-$326,000 annually. Zone C : The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs. Similar Jobs (1) Manager, Machine Learning Engineering, Content Rankinglocations Palo Alto, California time type Full time posted on Posted 30+ Days Ago A Decade of Snap : Learn about our origin story, values, mission, culture of innovation, and more. CitizenSnap : In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward. The DEI Innovation Summit : Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action. Snap News : Stay up to date on the latest and greatest product and innovation news at Snap #J-18808-Ljbffr

Machine Learning Model Engineer - Samsung Ads Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast-growing team. Location: Mountain View, CA**Role and Responsibilities****Responsibilities*** Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.* Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.* Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.* Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.* Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.* Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.* Mentor junior engineers and provide technical guidance.* Learn quickly and adapt to a fast-paced working environment.**Experience Requirements:*** Master's or PhD degree in Computer Science or related fields.* 7+ years of industry experience with a Master's degree or 5+ years of industry experience with a PhD degree.* Solid theoretical background in machine learning and/or data mining.* Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).* Hands-on experience with production-grade machine learning solutions.* Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).* Extensive programming experience in Python, Go or other OOP languages.* Familiarity with data structures, algorithms and software engineering principles.* Proficiency in SQL and databases.* Strong communication and interpersonal skills to drive cross-functional partnerships.**Skills and Qualifications****Preferred Experience Requirements:*** Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).* Basic knowledge about Amazon Web Services (AWS).* Experience with the advertising industry and real-time bidding (RTB) ecosystem.**CALIFORNIA ONLY**Compensation for this role, for candidates based in Mountain View, CA is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.#LI-DNI\* Please visit to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ************** or SEA\_Accommodations\_******************* for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.**Role and Responsibilities**Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Responsibilities* Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.* Build a world-class ML platform tailored for Samsung's ML based advertising business, which can significantly improve the lead time for model end-to-end development and deployment process.* Research the latest machine learning platform technologies in the industry and create quick prototypes / proof-of-concepts.* Closely work with different internal ML teams (e.g., ML serving and MLOps teams) to improve our codebase, product health, and ensure the best engineering quality* Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.* Mentor junior engineers and provide technical guidance.* Learn quickly and adapt to a fast-paced working environment.Experience Requirements:* 6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree in Computer Science or related fields such as Statistics, Data Science, Technology, Engineering and Mathematics.* Extensive industry experience with Infrastructure as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana.* Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.).* Hands-on experience with machine learning related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store).* Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills.* Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms and software engineering principles.* Strong communication and interpersonal skills to drive cross-functional partnerships.* Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions and apply the changes to production.**Skills and Qualifications**Preferred Experience Requirements:* Extensive knowledge of Amazon Web Services (AWS) is a huge plus.* Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.* Experience with the advertising industry and real-time bidding (RTB) ecosystem.Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.\* Please visit to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ************** or SEA\_Accommodations\_******************* for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr

A leading real estate information firm is looking for an Associate Machine Learning Engineer to develop and implement cutting-edge machine learning algorithms. The role involves collaboration with researchers and engineers on projects involving computer vision, deep learning, and 3D data analysis. Candidates should have a bachelor's degree in computer science or related field, Python programming skills, and relevant internship experience. An annual salary between $82,300 - $179,000 is offered along with a benefits package. #J-18808-Ljbffr

A leading global technology company based in Mountain View, CA is seeking an RTL Design Engineer specializing in multimedia and machine learning accelerators. In this role, you will develop custom silicon solutions and ensure high performance and efficiency in innovative products. The ideal candidate has extensive experience in RTL design using SystemVerilog, along with a robust background in power and performance analysis. A Bachelor's degree in a relevant field is required. Competitive compensation including salary, bonus, and equity is offered. #J-18808-Ljbffr

A leading technology company in San Jose is looking for a recent graduate or PhD candidate for an AI/ML development role. The position requires backend development skills in Go or Python and understanding of LLM infrastructure. Candidates should be ready to collaborate with cross-functional teams, optimizing models for real-world deployment. This role offers competitive salary ranges based on location, benefiting from Cisco's extensive employee perks and growth opportunities. #J-18808-Ljbffr

Snap Inc is a technology company. Snap's core products are Snapchat, Lens Studio, and Spectacles. Snap Engineering builds innovative products for hundreds of millions of Snapchatters worldwide, guided by values that prioritize privacy, speed, precision, and execution. We're looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap! What you'll do Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems Advance core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions needed to build innovative products or services Advocate for and apply best practices in availability, scalability, operational excellence, and cost management Provide technical direction that influences the entire company Knowledge, Skills & Abilities Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search Experience setting the direction for a team whose primary output is online ranking / recommendation models Ability to design, train, and optimize advanced machine learning models Excellent programming and software design skills Ability to proactively learn new concepts and technology and apply them at work Skilled at solving ambiguous problems and leading and executing complex technical initiatives Strong collaboration and mentorship skills Minimum Qualifications Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience 9+ years of industry machine learning experience 2+ years of experience as a technical lead Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Preferred Qualifications Experience with recommendation systems Experience with TensorFlow, PyTorch, or related deep learning frameworks Advanced degree in a related field such as machine learning, computer vision, or mathematics Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments Experience working with a diverse group of engineers Experience contributing to AI publications Equity and Benefits If you have a disability or special need that requires accommodation, please provide information via the designated accommodation form. "Default Together" Policy at Snap: Snap encourages in-office collaboration and expects team members to work in an office 4+ days per week. At Snap, we are an equal opportunity employer and are committed to employment opportunities regardless of race, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth, age, sexual orientation, military or veteran status, or other protected classifications, in accordance with applicable laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. Our Benefits: Snap's benefits include paid parental leave, comprehensive medical coverage, mental health support, and compensation packages aligned with Snap's long-term success. Compensation: In the United States, starting pay is determined by factors including skills, experience, location, and market conditions. The base salary ranges and pay zones are listed for reference and may be updated. This position is eligible for equity in the form of RSUs. Zone A (CA, WA, NYC): base salary range $276,000-$414,000 annually. Zone B: base salary range $262,000-$393,000 annually. Zone C: base salary range $235,000-$352,000 annually. We encourage you to review Snap's other resources and communications for more information about our culture and opportunities. #J-18808-Ljbffr

Apply Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Qualifications PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design. Preferred qualifications Experience in scripting using Languages like Python, Tcl, Perl. Proficiency in fundamental SoC architecture and hardware description languages such as Verilog, facilitating effective collaboration with logic design teams to resolve timing issues. Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures (e.g., finfet, Gate all around). Understanding of Static Timing Analysis(STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis. Understanding of standard cells, SRAMs, power, noise, and IR analysis. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems. As a Physical Design Engineer, you will collaborate with Register‑Transfer Level (RTL), Design for Testing (DFT), floorplan, and full‑chip sign off teams. Additionally, you will solve technical problems with innovative micro‑architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register‑Transfer Level‑to‑Graphic Design System (RTL2GDSII). Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro‑architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities. The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. Citizenship and Clearance requirements: US Citizenship Active TS SCI security clearance Location: Hybrid - based in San Diego, CA Responsibilities: Design, develop, and implement machine learning models and algorithms for naval applications. Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. Perform data preprocessing, feature engineering, model evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing approaches to optimize ML model performance. Participate in CI/CD pipeline development, automation, and DevSecOps workflows. Apply cybersecurity principles in the design and deployment of machine learning systems. Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards. Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: At least 10 years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in Java, C++, Go, or Rust. Experience with distributed computing and parallel processing. Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). Strong analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative team environment. Previous experience supporting government agencies or military organizations. Preferred Skills and Experience: Experience with cloud-native architecture and software API design. Experience integrating machine learning into operational DoD systems or edge computing environments. Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs. Education and Certification Requirements: Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics. Advanced degrees (MS/PhD) in related fields are preferred but not required. Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract. Job Classification: Associate II $110,000 - $180,000 Disclaimer: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr

A leading technology firm in San Francisco is looking for an innovative engineer to develop generative AI applications. This role requires a PhD in a relevant field and backend development experience, preferably in Go or Python. You will work with cutting-edge technologies and collaborate with world-class teams to create and implement AI solutions. Cisco offers a competitive salary and a collaborative work environment that fosters growth and innovation. #J-18808-Ljbffr

Wanna join the adventure? COEs ensure exceptional customer experiences throughout Loft mission deployments, leveraging deep technical knowledge to address customer objectives and serve as the primary contact for on‑orbit mission execution, facilitating issue resolution and collaboration with Product teams. Working closely with customers and internal stakeholders, you'll develop and deploy missions within the Loft framework, refining Cockpit's functionality through automation and feedback interpretation to align with evolving user needs. COEs excel in software development, testing, space operations, and solutions engineering, driven by a commitment to delivering outstanding customer satisfaction. About This Role Serve as Loft's frontline interface with customers, helping them use Cockpit's tools effectively for mission planning and payload operations Work with customers and internal stakeholders to identify the lowest friction solutions to customer needs Improve Cockpit functionality as a developer through implementation improvements and automation Help translate feedback from customers into a Cockpit's feature roadmap Must Haves Minimum 3 years experience in space company or organization, with exposure to satellite operations and/or assembly, integration, & test Exposure to both ground software and flight software (note: you will not be expected to write flight software) Experience writing software scripts in Python Exposure to Docker containers as well as general DevOps exposure Preferred: Experience with GNC / Orbits Nice to haves: GraphQL, UI Design Nice to Haves Exposure to Docker containers as well as general DevOps exposure GraphQL, UI Design Experience operating systems at scale Some of Our Awesome Benefits 100% company‑paid medical, dental, & vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short‑Term, & Long‑Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family‑forming benefits with financial support Off‑sites and many social events and celebrations Relocation assistance when applicable $100,000 - $140,000 a year State law requires us to tell you the base compensation range for this role, which is $100,000 - $140,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end‑to‑end missions as a service across Earth observation, IoT connectivity, in‑orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years‑long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close‑knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team‑oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on‑orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #J-18808-Ljbffr

A space technology company is looking for a dedicated individual to join their customer operations team. Your role will involve ensuring exceptional customer experiences by interfacing with clients and utilizing Cockpit's tools for mission planning. Ideal candidates should have at least 3 years of experience in the space sector and proficiency in Python scripting. The position provides a dynamic work environment with comprehensive benefits and a salary range of $100,000 - $140,000 annually. #J-18808-Ljbffr

## Senior Product Experience Engineer, Slack*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.*Job CategoryProductJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.In this role, you'll experiment with emerging technologies, build high-fidelity prototypes, and collaborate closely with product, design, engineering, and marketing to translate early concepts into functional experiences. Your work will make abstract ideas tangible, inspire teams, and accelerate alignment across the organization. If you're driven by solving real product problems, experimenting with new technologies, and shaping early-stage ideas, this role provides a direct path to informing Slack's product direction.What You'll Do:**Build interactive prototypes*** Design and develop high-fidelity prototypes using Figma, live code (HTML/CSS/JS), and / or emerging technologies to explore new product concepts and interaction patterns.**Translate early ideas into functional experiences*** Work with Product and Design to turn abstract concepts into tangible prototypes that help teams evaluate usability, feasibility, and user value.**Craft product stories through prototypes*** Combine hands-on prototyping with clear narrative framing to communicate the “why” behind new concepts and support product strategy and alignment.**Collaborate across the product organization*** Partner closely with Product, Design, Engineering, Marketing, and Research to ensure prototypes and demos are grounded in user needs, technical reality, and business context.**Test and iterate quickly*** Gather feedback from cross-functional partners, refine prototypes through rapid iteration, and help teams understand tradeoffs and potential directions.**Establish scalable prototyping practices*** Create frameworks, documentation, and reusable assets that help distributed teams build, adapt, and reuse prototypes.**Support storytelling for vision work*** Build prototypes, interaction flows, and supporting artifacts used in vision presentations, internal product reviews, customer narratives, and leadership discussions.**What You Need to Succeed*** Strong ability to define and drive projects with minimal guidance, with an “owner-operator” mindset.* Excellent communication skills, including the ability to present complex concepts clearly to technical and non-technical audiences.* Proven success influencing peers and leaders in a highly matrixed, cross-functional environment.* Advanced storytelling abilities to frame concepts, align stakeholders, and communicate the value and rationale behind new ideas.* Creative problem-solver who can generate innovative approaches and explore ideas that push beyond today's patterns.* Experience prototyping interactive experiences using Figma, code, or emerging technologies to explore and convey product direction.* Strong understanding of UI and interaction principles* Comfortable working in ambiguous, fast-paced environments with evolving requirements and tight timelines.* Self-motivated, flexible, resilient, and driven by curiosity.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### ### ### For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.### ###****Slack is a messaging app for business which lets you organize conversations into channels so everyone moves faster and stays in sync. It's a platform that connects everyone in your business-employees, customers, and partners- securely with each other and integrates easily with apps you use every day to get work done. And everything happens, using any device, within a digital workspace that's super easy to use.********Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.********Come do the best work of your life here at Slack.**** #J-18808-Ljbffr

A leading technology company in San Jose is seeking an experienced engineer to join their analog/mixed signal IP design team. This role involves designing next generation I/O interfaces, with a strong emphasis on mixed signal design and leading technical projects. The ideal candidate will possess a degree in Electrical Engineering and have hands-on experience with high speed designs and communication tools. This position offers competitive benefits and is not eligible for visa sponsorship. #J-18808-Ljbffr

Pharos is an early-stage startup dedicated to improving patient safety in hospitals through advanced AI-powered reporting and analytics. Our mission is to make healthcare safer by automating hospital quality reporting and helping staff identify and prevent the root causes of avoidable harm. Our vision is an AI system reviewing every chart at scale, identifying patterns and giving clinicians the insights they need to prevent the 100k avoidable deaths that occur in U.S. hospitals every year. We raised a $5m seed funding round at the end of 2024. About the Role This is a pivotal role as a founding member of the engineering team at Pharos. As a Product Engineer, you will bridge the critical gap between product vision and technical execution. You will be responsible for building, shipping, and maintaining our core user-facing applications, working in close partnership with the founders and design team. These products include an interface for users to review and correct AI-generated results to medical questions, as well as an analytics and root cause analysis platform where users can visualize clinical quality trends and drill down into the causes of specific patient safety events. The scope of this role is intentionally broad. As one of our first engineers, you will be an integral part of the founding team, working at the intersection of product design, user experience, and full-stack engineering. We are creating a new category of product, requiring 0-to-1 innovation - turning a novel vision into a real, tangible application without existing examples to lean on. You'll be translating complex requirements and detailed designs into beautiful, functional, and reliable applications. You will have autonomy and ownership over the entire product lifecycle, from the first line of code to deploying in production and monitoring its impact. Your work will directly build the tools healthcare workers use every day to make healthcare safer. What You'll Do End-to-End Feature Development: Own the end-to-end development of new user-facing features, from technical design and implementation to testing, deployment, and monitoring. Design-to-Production: Collaborate closely with designers to translate Figma prototypes into pixel‑perfect, responsive, and intuitive web applications. Full‑Stack Implementation: Build and maintain all components of our product, including the front‑end and the back‑end APIs and services that power them. Product Ownership: Act like a product owner. Rapidly prototype new ideas, participate in user feedback sessions, and use your product intuition to advocate for the best user experience. Infrastructure & Deployment: Manage and improve our CI/CD pipelines, cloud infrastructure, and deployment processes to ensure reliability, scalability, and a fast development loop. Uphold Quality: Champion high standards for code quality, testing, and engineering best practices within a fast-moving startup environment. Cross‑Functional Collaboration: Work side‑by‑side with the founders, designers, and AI research team to solve complex problems and build a cohesive, mission‑critical product. What We're Looking For Required: Engineering Experience: 3+ years of professional experience as a software engineer, with a strong track record of building and shipping user‑facing products. Web‑Stack Proficiency: Deep expertise in modern web technologies, including a front‑end framework (e.g., React, Vue), TypeScript, design systems and document databases. Production Experience: Experience deploying and maintaining applications in a cloud environment (e.g., AWS, GCP, Azure). Product & Design Sense: Strong product intuition and a keen eye for design. You care deeply about the 'why' behind what you're building and the user's experience. Communication: Excellent ability to communicate complex technical concepts to diverse audiences, including non‑technical stakeholders. Strongly Preferred: Startup Experience: Previous experience as an early‑stage employee at a startup, demonstrating an ability to thrive in a fast‑paced environment. Healthcare Informatics: Familiarity with healthcare data, electronic health records (EHRs), or interoperability standards (FHIR, HL7) is a major plus. Design Systems: Experience building or using design systems to maintain UI consistency and accelerate development. Our Technology Stack As a product engineer, you'll primarily work with our modern, high-performance stack: Frontend: React, TypeScript, Vite, and TailwindCSS. Backend & Services: TypeScript on Bun (for application backends) and Python (for AI/ML services). Database & Auth: Firebase (Firestore, Auth, Hosting) integrated closely with GCP. Infrastructure: Google Cloud Platform (GCP), especially Cloud Run, Pub/Sub, and Google Healthcare API. Tooling: Nx for monorepo management, Biome (JS) and Ruff (Python) for linting/formatting. Architecture: We run a microservices architecture with event‑driven patterns using Pub/Sub. Personal Attributes: High agency: You're excited by the opportunity to take ambiguous product challenges and drive them from idea to execution without waiting for direction. Motivated by impact: You're energized to work hard as part of a high-performing team - holding a meaningful equity stake in a company with the real potential to save thousands of lives. Ownership mindset: You take pride in acting like an owner, taking full responsibility for the quality and outcomes of your work. Comfortable with ambiguity: You thrive in an early‑stage startup environment where there's no rigid hierarchy, everyone wears many hats, and you have real power to influence the path of the company. What We Offer Foundational Impact: A rare chance to build a category‑defining healthcare AI company from the ground up and directly improve patient outcomes at scale. Product + Technical Growth: Unique opportunity to develop expertise at the intersection of product, design, user‑facing engineering, and cutting‑edge AI. Ownership and Autonomy: Take ownership of the core user‑facing product and have significant autonomy in your technical and product decisions. Significant Outcome Potential: Meaningful equity stake as a founding team member. Mission‑Driven Work: Every day, work on technology that has the potential to prevent avoidable patient harm and save lives. Culture Creation: Actively shape a positive, collaborative, innovative, and mission‑driven culture that values both technical excellence and user impact. Benefits: Good healthcare, dental and vision plans and 401k. Location San Francisco, USA. We expect our core team to be in the office most working days. #J-18808-Ljbffr

A healthcare technology startup in San Francisco is seeking a Product Engineer to join their founding team. The role involves building and maintaining core applications that improve patient safety through AI analytics. Candidates should have 3+ years in software engineering with a strong grasp of modern web technologies and a passion for turning innovative ideas into practical applications. This position offers ownership and autonomy in a mission-driven environment aiming to transform healthcare. #J-18808-Ljbffr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Now is the most interesting time to join Cognition - we're seeing record growth and demand, the code generation industry is developing at lighting speed and we're doing this with one of the smallest teams thanks to Devin. We are small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. If you're excited to solve some of the world's most challenging problems and build AI that can reason on real-world tasks, join us. About the Role We're looking for experienced end-to-end engineers who thrive at fast-moving startups, and are excited to push the boundaries of how developers will interact and work with coding agents. You'll work closely with other engineers on the team, the product and go-to-market teams at Cognition, and our design partners. In this role, you will: Ship product and talk to users! Punch through technical walls Build performant and beautiful experiences that developers love Set the standard for UX of agent products Requirements for the role: A record of exceptional achievements and impact Willingness to work hard, move fast and grow quickly in a rapidly changing environment An exceptional ability to learn Experience with Python, Typescript, & React in complex products #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a product mindset software engineer to join their GTM Innovation team. You will work closely with go-to-market teams to revolutionize customer engagement using advanced AI. Ideal candidates will have experience in software engineering, familiarity with APIs, and a collaborative spirit. This role offers a competitive compensation range of $255K - $405K. #J-18808-Ljbffr