Cost engineer work from home jobs - 1177 jobs

A leading engineering firm in California is seeking a mid-level Traffic Engineer to manage traffic engineering projects for public infrastructure and private development. Responsibilities include designing traffic systems, mentoring junior staff, and participating in client meetings. Ideal candidates should have a Bachelor's degree in Civil or Electrical Engineering, 3+ years of relevant experience, and proficiency in AutoCAD and MicroStation. Competitive salary range is $100,000 - $145,000, along with a comprehensive benefits package. #J-18808-Ljbffr

A leading AI innovation firm is seeking an Interface Research Engineer to drive research innovation in adaptable interfaces. This role involves designing algorithms that leverage feedback for real-time interaction, collaborating across multiple domains to achieve system efficiency, and utilizing strong programming skills in Python. Candidates should possess deep expertise in model optimization and be adaptable team players. The position offers flexible work arrangements and comprehensive benefits, including medical coverage and a lunch stipend. #J-18808-Ljbffr

Odins3 Remote / Seattle Full-time Posted 685 days ago AI Development 3+ years $160K - $220K 0.05% - 0.2% equity Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development. About This Role Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically. This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization. Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users. Requirements 3+ years ML engineering experience Strong Python, TensorFlow/PyTorch background Experience with computer vision and NLP Knowledge of web technologies and design principles Experience with MLOps and model deployment Understanding of design systems and UI/UX principles Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration Experience with A/B testing and experimentation Strong data analysis and visualization skills Responsibilities Develop ML models for automated web design Deploy and monitor ML models in production Research and prototype new AI capabilities Optimize model performance and accuracy Build data pipelines for training and inference Collaborate with design team on AI‑generated layouts Contribute to ML platform and infrastructure Required Skills & Technologies Python TensorFlow PyTorch Scikit‑learn NumPy Computer Vision NLP MLOps Docker AWS Redis Airflow Git Equity package: 0.05% - 0.2%. Unlimited PTO and flexible hours. $4,000 annual learning budget. Top‑tier hardware and equipment. Conference attendance support. Health and wellness benefits. Team building and social events. Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours. Reporting Structure Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team. Job Summary Department: AI Development Experience: 3+ years Type: Full‑time Location: Remote / Seattle Equity: 0.05% - 0.2% Posted January 12, 2024 About Odins3 We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194 M in equity and $340 M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position: At Parafin, Product Engineers are the implemented product experts. We bridge design, product, and backend, which means we're responsible for making sure everything actually works the way it should. We are care about things beyond the specs like understanding why features exist, who uses them, and what problems they solve. You'll own the entire frontend: every transition, every edge case, every state change that happens between a user's action and what appears on their screen. You don't need to know our exact stack coming in, but you should be strong with JavaScript fundamentals and have shipped real products with React and TypeScript. What you'll do: Build polished experiences at scale. Work with design to ship great UI/UX, but also own the less visible stuff that matters like page speed, cross-browser support, mobile responsiveness. Master the product. Develop deep expertise and opinions in what we're building. Work with product and design to shape what we build, not just execute on specs. Instrument and optimize. Implement observability for user interactions, core web vitals, and perceived performance. Craft frontend and product infrastructure. Contribute to build systems, dev tooling, and deployment pipelines. Advocate for a better developer experience. Build internal tools that help the team move faster. Who you are: 2‑3+ years of experience working in a frontend engineering role You have an eye for design. You have track record of creating beautiful experiences for the web. You care deeply about user experience and have an understanding of what might make one UI better than another. You think in systems. You build infrastructure that makes future features easier. You know when to generalize and when to keep things specific. You're a self-starter. You enjoy building 0 to 1. You're always looking for things that could use some TLC and finding ways to make them better without asking permission. You care about the details. You care about micro-interactions. You think about what happens when the network is slow, when data is missing, or when users do unexpected things. You're a good teacher. You know how to explain ideas and trade-offs cross-functionally. You have opinions. You have thoughts on different state management approaches, how to structure provider hierarchies, and whether that hook should be extracted or kept inline. You can articulate why you'd choose one abstraction pattern over another. You're always learning. You've tried various coding and AI tools just out of curiosity. You want to know what the latest and greatest are and what problems they solve. What We Offer: Salary Range: $190k-$225k Equity grant Medical, dental & vision insurance Work from home flexibility Unlimited PTO Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > ASICS Engineering The DTECH team is part of the Global SOC organization and is responsible for STA methodology and signoff, foundry technology enablement and analysis, design automation and internal and external EDA tools, design analysis and optimization tools and platforms, low power architecture, methodology, and IP, and foundation IP development. About the Role As a member of the DTECH Methodology team, you will work closely with core and SOC teams to enable a state-of-the-art design analytics platform. Your work will have a consequential impact on the power, performance, area, and quality of Qualcomm's products. Required for this Role M.S/Ph.D. degree in Electrical Engineering or Computer Science with 1-2 years of relevant experience with ASIC/VLSI design tools and flows Strong programming skills in Python Hands‑on experience with static timing analysis (STA) tools, e.g., PrimeTime and Tempus Problem‑solving and analytical mindset Preferred Qualifications Critical thinking with good software architecture understanding to develop platforms at scale Familiarity with GenAI models (e.g., LLMs such as GPT, Llama, etc.) and their application in real‑world solutions, such as chatbots, etc. Experience designing and developing agentic AI systems Experience with version control tools like Perforce or Git Experience with place & route tools and a good understanding of the ASIC RTL‑GDSII design flow Where you will be working - this role requires the candidate to be onsite in San Diego or Santa Clara, CA. Minimum Qualifications Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience. PhD in Science, Engineering, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Please e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range and Other Compensation & Benefits: $115,600.00 - $173,400.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.https://www.recruitingfromscratch.com/Product Engineer Location: San Francisco, CA (Mission District) Company Stage: YC W22 backed, $18.5M in funding Office Type: Onsite Salary: $140,000 - $200,000 + Equity (0.1% - 0.3%) Company Description Our client is a fast-growing developer documentation platform reaching over 20 million developers annually. They power the documentation of 3,500+ companies, including major tech players and over 20% of the most recent Y Combinator batch. Founded in 2022 and headquartered in San Francisco, they've established themselves as the modern standard for documentation in the tech industry. What You Will Do Own and drive features from conception to completion with a high degree of autonomy Create tasteful, intuitive user experiences that developers love Collaborate across teams to ship impactful products Balance customer relationships with feature development Have plenty of heads-down builder time in a team environment where the best ideas win Work with TypeScript, Next.js, and React to build scalable frontend solutions Ideal Candidate Background 2+ years of experience in full-stack software engineering with frontend emphasis Experience building features from 0 to 1 Strong portfolio demonstrating excellent user design sense and high-level craftsmanship Experience with React, Next.js, and TypeScript Strong communication skills and ability to work well on a team Drive to build amazing products and solve problems efficiently Preferred Experience working at early-stage, VC-backed startups Already located in the San Francisco area Familiarity with modern CSS component libraries and design trends Experience with documentation tools or developer-focused products Compensation & Benefits Competitive salary: $140,000 - $200,000 Equity package: 0.1% - 0.3% 20 days paid time off annually 401k benefits Free lunch and dinners $420/month wellness stipend Annual team offsite Visa sponsorship available (O1, TN, and H1B transfers) This role offers a unique opportunity to join a diverse, growth-oriented team (collectively speaking 12 languages!) that values learning velocity and grit. You'll work in an environment where people think beyond their scope and help others across projects. If you're passionate about creating exceptional developer experiences and want to be part of building the future of documentation, we'd love to connect with you! #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #J-18808-Ljbffr

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

A medical technology company in San Francisco is seeking a Machine Learning Engineer to leverage vast medical imaging data in training deep neural network models. You will work on enabling a surgical robot to understand anatomy, empowering doctors to perform safe procedures. The ideal candidate should have at least 2 years of experience in machine learning engineering, expertise in Python, and familiarity with image-based neural networks. Join us in revolutionizing access to life-saving interventions. #J-18808-Ljbffr

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine‑tune models to ensure millions of users get exceptional results every time they generate content with Gamma. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI‑generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. If you're obsessed with output quality and love the challenge of making AI systems work beautifully at scale, this is your role. You'll succeed here if you combine deep technical expertise with a research‑oriented mindset. You need to be comfortable working in ambiguity, designing experiments that reveal model behavior, and iterating toward solutions that measurably improve quality. Exceptional attention to detail is essential, as is the ability to care about dimensions of quality that others might overlook. Our team has a strong in‑office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance. Systematically improve production prompts through iterative experimentation-diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks. Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements. Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements. Fine‑tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low‑quality outlines. Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale. What you'll bring 1-2+ years working with AI systems with demonstrated experience shipping production‑grade AI products. Deep hands‑on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs. Strong experimental mindset with ability to design tests, analyze model performance, and iterate toward quality improvements. Experience with post‑training techniques for LLMs including reinforcement learning and supervised fine‑tuning. Research‑oriented approach to problem‑solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges. Exceptional attention to detail and quality obsession-cares deeply about output quality across all dimensions, including less visible aspects. Bachelor's degree in Computer Science, Machine Learning, or related field, or equivalent hands‑on experience with AI research and experimentation (Nice to have). Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. We're building on a full Typescript stack centered around some of the most modern and popular technologies. We use our own custom, open‑source AI prompting framework, AIJSX. We have a lot of custom tools built in house, but also new ones like Vercel AI SDK. Our tiny team operates at massive scale: 1M+ 70M users around the world 6M+ AI images generated daily 1 trillion LLM tokens processed per month Life at Gamma You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside: We asked the team what makes Gamma, Gamma. Here were some of their answers: "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #J-18808-Ljbffr

A culinary essentials distributor is seeking a Machine Learning Engineer to design predictive models and automate ML pipelines. You will work with data science teams to turn prototypes into production code. Ideal candidates have over 2 years in ML engineering, proficient in Python, and familiar with tools like TensorFlow and AWS. The role offers flexible remote or hybrid work options and a competitive salary range of $50,000 - $200,000 USD annually based on experience and location. #J-18808-Ljbffr

WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others. About the role 💭 The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews. Our mission is to give developers a turnkey platform for identity security and risk evaluation - something that “just works” out of the box but is flexible enough to support sophisticated use cases. Engineers on Radar care deeply about correctness, performance, observability, and the developer experience. The ideal candidate is excited by distributed systems, analytics, and safety features that meaningfully protect users. Responsibilities ✔️ Design and build performant, resilient systems for real-time identity event processing Craft intuitive APIs and developer workflows that make Radar easy to adopt Develop a deep understanding of the identity-security landscape and shape Radar's product direction Work closely with customers to understand signals, risk models, and areas of friction Maintain a strong focus on reliability, security, correctness, and observability across the stack Collaborate with other product teams, solutions engineering, and our go-to-market team Work directly with leadership on greenfield ideas Help recruit and assess future engineering team members Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in high agency, fast-paced environments Background in large-scale systems, real-time pipelines, or event-driven architectures Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experience with our stack of TypeScript, React, and Postgres Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits (US Only) 💖 Competitive pay Substantial equity grants Healthcare insurance (Medical, Dental and Vision) for you and your family 401k matching Wellness and fitness monthly allowances PTO + paid holidays + unlimited sick leave Autonomy and flexibility with remote work At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. For benefits available to those working outside the US, please inquire directly with our recruiting team. Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience. Responsibilities You will fully own our customer facing web product and drive its development You will help define the product architecture all the way from the technologies we use to design principles that we apply You will frequently talk to our customers to understand their needs and define the product experience You will work closely with our product designers and ensure a high quality bar for our products You will help scale the Parafin team by hiring exceptional talent Requirements 6+ years of experience working in a web engineering role You care deeply about building high quality software and take immense pride in your craft. You are comfortable owning and driving the development of the product from 0 to 1. You have a strong grasp of engineering fundamentals. You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies. You have a strong understanding of functional and reactive programming paradigms. You are excited about working on a small team and helping us set the foundations for the company. What We Offer Salary Range: $235k - $300k Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

A technology company is recruiting for a remote Electronics Engineer for an AI research project. You will work asynchronously to evaluate AI models based on your professional experience in electronics. This role requires at least 4 years of experience in engineering, where you will develop prompts for AI, evaluate responses, and contribute meaningful feedback. Flexibility in hours and work location makes it an ideal opportunity for professionals. Ideal for those looking to engage with AI in their field while maintaining their current professional commitments. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch ) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands-on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. Preferred qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range: $140,800.00 - $211,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A global leader in information management is looking for a talented Systems Engineer in Boston. This role requires U.S. Citizenship and the ability to obtain government clearance. Responsibilities include troubleshooting, providing support, and performing system documentation. Ideal candidates will have a Bachelor's degree, strong technical skills, and experience with Windows Server and Linux. The expected salary range is between $93,400 to $124,500, offering opportunities for professional growth in a fast-paced environment. #J-18808-Ljbffr

Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we're the first to produce a digital K-1. Learn more at ********** About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software's ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! Responsibilities Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents. Collaborate with cross-functional teams to integrate machine learning solutions into our software products. Apply statistical analysis to identify signals, trends, and insights that can inform product development. Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment. Qualifications Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects Demonstrated experience leading end-to-end data science project implementations Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spa Cy) Preferred experience: Previous experience with applications of NLP to financial documents Familiarity with alternative investment accounting needs Experience deploying machine learning models using containerization and orchestration technologies Benefits: Unlimited Vacation Policy+ Sick Time + Holidays Paid Parental Leave Fully Remote Opportunity Healthcare Benefits and 401K Growing Startup Culture #J-18808-Ljbffr

We're looking for a Customer Success Engineer II to drive the success of Procore's French Speaking customers in Canada. In this role, you'll be the product champion of Procore and serve as a subject matter expert. You will succeed in this role when the customer succeeds in adopting and realizing business performance gains from their investment in Procore. You will literally be helping improve the lives of our construction customers by connecting them on a global platform. As a successful Customer Success Engineer II, you'll help organizations understand best practices around construction technology and solutions, and the many business benefits they can provide. You'll work in a highly collaborative, creative, and driven environment that values openness, optimism, and ownership. In this role, you'll leverage your consultative-mindset and knowledge of the construction industry and Procore's software platforms to provide clients with important recommendations on how to maximize the value of their Procore technology, and what other products they can benefit from. You'll partner closely cross-functionally with Sales, PS, Support, Product and Marketing. Successful candidates are passionate about construction and technology. This position reports to the Manager, Customer Success and can be based remotely within Canada. We're looking for candidates to join our team immediately! What you'll do: Make data-driven recommendations to your customers on how they can optimize the value of Procore, based on customer analytics and industry best practices. Craft value-based presentations that address customer business problems and accelerate the adoption of the Procore platform Provide product roadmap and product release updates to your customers so that they can benefit from our leading-edge technology Drive in product demonstrations and coordinate multiple technical resources, both internal and external Serve as a technical account manager by providing the highest level of responsiveness and customer service and to your clients, through clear and effective communication Foster a positive team culture by supporting and mentoring your fellow Procorians and collaborating with all levels of the organization to develop best practices. Develop a mastery of Procore's products, professional services, and industry best practices Up to 50% travel to client sites (may include domestic and international), industry events, and other Procore offices What we're looking for: Fluent in French (speaking and writing) 2+ years of Construction industry expertise 2+ years of Customer Success, Professional Services, Technical Pre-Sales experience Ability to leverage strong technical aptitude to master Procore's product offerings, business model, services, and emerging technologies Ability to work cross-functionally and collaboratively with multiple stakeholders on time-sensitive projects Outstanding presentation and communication skills both in-person and through virtual meetings, and in writing Strong analytical and problem-solving skills to synthesize relevant and impactful intelligence from ambiguous data Understanding of the construction industry across different verticals (general contracting, subcontracting, real estate development, etc.), with previous experience as a construction Project Manager, Site Super, Project Finance Manager, Estimator, or Project Engineer preferred Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, Information Systems, or CS preferred, along with experience managing project construction including bidding, procurement, RFIs, submittals, drawings, specifications, documents, schedule, quality control, and safety Additional Information Base Pay Range: 96,000.00 - 132,000.00 CAD Annual On Target Earning Range: 120,000.00 - 165,000.00 CAD Annual This role may also eligible for Equity Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.