Research engineer jobs near me - 2,622 jobs

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

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 leading technology company is seeking a Business Operations Leader who will collaborate with executive leadership to drive operational efficiency and align organizational strategy. This remote-first role requires over 10 years of experience in business operations, a proven record in managing complex programs, and the ability to influence stakeholders across departments. The successful candidate will implement best practices to enhance productivity and operational metrics while navigating a fast-paced environment. #J-18808-Ljbffr

A leading consulting platform company based in San Francisco is seeking a creative Product Engineer. This role involves building impactful user-facing features and collaborating across teams to deliver scalable solutions. Candidates should have at least 3 years of software engineering experience, a track record of creating high-quality products, and a passion for solving complex problems. This company offers competitive salaries and a flexible work environment, aiming to foster a diverse and inclusive workplace. #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 Vault team is responsible for building and scaling WorkOS Vault, our developer-friendly encryption key management and secret storage product. Vault enables applications to encrypt, segment, and optionally store highly sensitive data-tokens, passwords, certificates, PII, API keys, files-backed by enterprise-grade encryption and key management infrastructure. The vision for Vault is to make cryptography simple and fast, and the product currently serves tens of millions of encryption requests each day. On this team you'll work on building reliable, high-throughput systems, defining new abstractions for developer-friendly encryption, and crafting APIs that both scale and stay simple. We're looking for Engineers to join this team that are motivated by solving deep security and infrastructure problems, owning high-impact systems end-to-end, and working closely with customers to deliver robust products, Responsibilities ✔️ Architect and implement systems for real-time encryption, secure storage, key-rotation, and data revocation across multi-tenant applications Build deep domain expertise around encryption key management (EKM), envelope encryption, BYOK (Bring Your Own Key), and context-based key isolation Work closely with enterprise customers to understand their compliance, key control, and security requirements-and translate that into features (e.g., key segmentation, audit logs, cryptographic deletion) <> Collaborate cross-functionally with other product teams (e.g., AuthKit, Radar), solutions engineering, and GTM to ensure Vault integrates seamlessly into the broader platform On greenfield opportunities: explore new features such as field-level encryption, e2e encryption, broader HSM integrations, client-side SDK enhancements Help recruit, mentor, and grow the engineering team around Vault's roadmap Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in fast-paced environments Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms 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) 💖 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. 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 Please inquire directly with our recruiting team for benefits available to those working outside the US. 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

A cutting-edge legal AI startup is seeking a Principal Engineer to lead the development of a production-ready AI platform for venture capital legal workflows. This role involves full-stack feature design using TypeScript, Node.js, and React while building robust pipelines for legal document processing. The ideal candidate has over 8 years of experience, showcasing a full-stack mindset and practical experience with AI integrations. This position offers a competitive salary and the flexibility of remote work. #J-18808-Ljbffr

Operations Engineer III - Operations (Senior TechOps Engineer) Galen Healthcare Solutions, an RLDatix company, is a healthcare IT software and services organization that produces award-winning information archival and release-of-information solutions for the largest healthcare organizations in the United States. Our software is used daily by tens of thousands of physicians across the country. As a company, we are honored to be ranked #1 in KLAS by our clients, including winning 2021's coveted Top Overall IT Services Firm award, as well as recognition from Modern Healthcare, having appeared on their Best Places to Work list for 10+ years. Galen has offices in Boston, MA, Chicago, IL, and Burlington, VT. This position can report to one of these offices or be fully remote. What You Will Do: As an Operations Engineer III, you will optimize data migration and archival implementation workflows by analyzing processes, identifying inefficiencies, and implementing improvements that elevate team productivity and quality by looking at our implementation process with a software engineering lens. Leveraging your expertise, you will collaborate with engineering, product, and leadership teams to deliver help automate and modernize ETL/ELT processes. Your work includes mapping workflows, producing analysis documentation, and supporting process and system improvements. Your contributions will directly influence immediate project outcomes and operational excellence within the engineering function. This position will serve as the equivalent of a Forward Deployed Engineer (FDE), except the “customer” is our own implementation team. Key Responsibilities: Process Analysis & Workflow Optimization Analyze implementation workflows and operational data to identify process inefficiencies and propose targeted improvements. Document process bottlenecks and articulate clear optimization requirements for engineering operations teams. Implement advanced analysis techniques to support continuous workflow enhancement and uphold process quality standards. Provide first‑line triage and resolution for migration and archival pipelines. Diagnose and remediate ETL, extraction, and scripting issues including SQL tuning, query optimization, indexing, partitioning, and job orchestration. Escalate to development/tooling teams only with clear reproduction steps, impact analysis, and proposed resolution paths. Technical Implementation & Automation Deploy and maintain engineering tools, automation systems, and integrations to support seamless operational processes. Identify and address technical gaps in implementation processes. Work extensively with relational databases such as Oracle, MS SQL Server, Azure Synapse Analytics and others. Perform advanced diagnostics, performance tuning, and query optimization. Stakeholder Management & Engagement Facilitate effective communication between engineering, product, and leadership teams to capture diverse requirements. Build collaborative relationships to coordinate internal stakeholders and ensure operational solutions align with business objectives. Produce stakeholder engagement plans that foster productive working environments and support collaborative project delivery. Experience You Will Need: 7+ years of experience with SQL optimization in multiple DBMS such as Oracle, SQL Server. 5+ years of experience with OLAP‑specific SQL query optimization and Azure Synapse Analytics (or non‑cloud equivalents). 3+ years of experience with Azure Data Factory or similar data movement platforms. Experience with scripting languages like PowerShell as well C#/.NET is a big plus. Essential Requirements: Strong stakeholder management skills, including the ability to articulate requirements, coordinate relationship‑building, and facilitate collaborative project environments across engineering and product teams. Advanced technical implementation skills to deploy, automate, and optimize data engineering processes while maintaining high quality standards across diverse platforms. Demonstrated business insight with the ability to connect operational improvements to measurable business outcomes and support strategic initiatives through data‑driven analysis. What You Will Gain: In this impactful Operations Engineer III role, you'll accelerate your technical growth by optimizing data engineering workflows and driving efficiency in an environment that processes petabytes of data. You'll have the opportunity to solve complex challenges, collaborate with cross‑functional teams, and directly contribute to continuous improvement initiatives that enhance team productivity. This position empowers you to build expertise in automation and process optimisation, while influencing engineering operations within a supportive, innovation‑driven environment. You'll develop valuable analytical and problem‑solving skills, making a measurable difference in the quality and effectiveness of engineering delivery. Team Structure & Size: You will be the first and leading member of a new team that will bring an engineering mindset to our implementation processes. This role will report to our VP of Engineering on our data platform. Geographic Scope: This role is for our North American team. We have offices in Chicago, Boston, Burlington (VT). You can work remotely or from any of our offices. Educational & Professional Requirements: 5+ years in an engineering role Must be legally authorized to work in the United States Salary range: $130,000-190,000 annually commensurate with experience #J-18808-Ljbffr

Cannon Corp Description: You'll Come for a Job But You'll Stay for an Exciting Career! Engineering and Designing Reliable, Responsive, Solutions. SINCE 1976, CANNON has provided creative solutions to clients in the energy industry, water resources, public infrastructure, and commercial and residential development. We work hard. We play hard. We have fun. JOIN CANNON as a CIVIL SENIOR PRINCIPAL ENGINEER to grow and shape Cannon's Water Resource operations in Orange County, based in our IRVINE office . Irvine offers warm weather, beautiful scenery, and is a top bicycling city with miles of on-road bicycle lanes and mountain bike trails. It is one of the safest communities and the public schools have consistently ranked among the best in California. PROJECTS INCLUDE Wastewater Treatment Facilities, Collection Facilities, Water Distribution Systems, Water Treatment Plants, Storm Drainage Collection Systems and Facilities, Water Main Replacements, Potable Water Pump Stations and Reservoirs. CIVIL SENIOR PRINCIPAL ENGINEER JOB SUMMARY The Civil Senior Principal Engineer role is a leadership opportunity to grow and Cannon's Water Resources operations in Orange County. Reporting to the Director of Water Resources, this role will conduct and drive business development efforts with Orange County agencies and clients; oversee and manage a diverse portfolio of wastewater, water treatment, and other water resource projects; mentor engineers; and provide excellent client service and delivery. CIVIL SENIOR PRINCIPAL ENGINEER JOB DUTIES Responsible for securing new work by establishing and fostering client relations and developing proposals (scope, schedule, and fee estimates). Develops and maintains strong relationships with ongoing clients and actively seeks to expand services to them. Concurrently manages a variety of civil engineering Public Works-Water Resources projects. Tracks project scope, budgets, and schedules to ensure fulfillment of contract commitments and profitability. Primary interface with clients on project coordination and design and follow-up to ensure quality standards are met, efficiency levels are maintained, and client satisfaction, respect, and confidence are assured. Effectively manages quality assurance and quality control. Uses technical knowledge to prepare PSandE for water resources projects, including water, sewer, and storm drains (pipelines, pump stations, lift stations, storage reservoirs, etc.). Grows, leads, and mentors an Orange County Water Resources team. Directs and mentors project engineers and design engineers on technical matters and procedures and acts as a technical resource to staff. Regularly engages in professional/community activities that promote the Cannon brand (writing, speaking, etc.). Requirements: Requires a Bachelor's degree in Civil Engineering from an accredited college. Requires a minimum of 15 years' experience in Civil Engineering specifically pertaining to Public Works/Water Resources projects. Requires minimum 8 years of project management experience pertaining to Public Works/Water Resources projects. Requires a California P.E. license. Working knowledge of typical computer software programs used in civil engineering design (AutoCAD, Civil3D, Hydrology and Hydraulic, AES, WSPG, Flowmaster, etc.) Must be proficient with MS Office Suite. A proven track record and strong desire to provide superior client service and delivery. Proven ability to manage multiple projects and deliver on time within budget. Experience in staff management, mentoring and resource management a plus. WE OFFER competitive salaries, excellent benefits package, remote work flexibility, and an active and positive team building, work environment. Cannon is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, age. Compensation details: 00 Yearly Salary PIaa1ed-1949

A leading tech firm is seeking a Senior AI Developer specializing in React and Node.js to build AI-driven features for an intelligent staffing platform. This remote role involves designing backend services, creating React interfaces, and integrating AI solutions to improve operational efficiency. The ideal candidate will have over 5 years of experience, a strong understanding of AI systems, and the ability to work in a fast-paced environment emphasizing written communication. Competitive salary and opportunities for professional growth are offered. #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. URL: https://www.recruitingfromscratch.com/ Title of Role Staff Fullstack Engineer (AI) Location: Remote (US or Canada) Company Stage of Funding: Series B, Venture-Backed Office Type: Remote (with occasional team meetups; light preference for New York-based candidates) Salary: $188k - $250k + strong equity Company Description We are partnering with a fast-growing, venture-backed technology company (Series B, $70M+ raised from top-tier investors) building the future of work. Their platform already powers collaboration for tens of thousands of organizations every week, including major enterprises, startups, and global institutions. The company is now expanding into AI with its newest product - a category-defining system that gives AI agents true contextual understanding across all workplace tools (Slack, Notion, GitHub, etc.), unlocking the next generation of productivity and automation. This is a unique opportunity to join a small, high-impact AI team (5-6 senior engineers) where you'll shape the foundation of a groundbreaking product at the intersection of collaboration, knowledge systems, and AI. What You Will Do Design and build integrations to external platforms, expanding the scope of knowledge ingested into the AI system. Develop core infrastructure systems, including a Privacy/Governance engine that ensures secure handling of organizational data. Create intuitive product experiences that showcase the power of AI-driven knowledge and workflow automation. Rapidly prototype new applications of company-specific AI, from intelligent chatbots to process automation tools. Collaborate closely with other senior engineers to drive technical strategy while mentoring and inspiring peers. Ideal Candidate Background 10+ years of professional software engineering experience, with strong backend development skills. Proven ability to take complex problems from concept to deployment with limited oversight. Experience at high-bar engineering environments (well-regarded tech companies or early/growth-stage startups). Prior exposure to building privacy, governance, or security-sensitive systems is a strong plus. Motivated by the AI ecosystem and eager to work on category-defining problems. Preferred Expertise in TypeScript (Vite is a plus) and Python. Familiarity with infrastructure technologies such as Kubernetes. Experience building with AI/LLM systems (Agents, MCPs, LLM APIs). Background at AI-native or consumer-oriented companies. High ownership mindset with strong communication skills. Compensation and Benefits Salary: $188k - $250k base Equity: Strong equity package with significant upside Work Setup: Fully remote (US or Canada), with occasional team offsites; preference for New York-based candidates but not required Visa Sponsorship: H1-B transfers, TN, and O-1 sponsorship available Team Culture: High-ownership, startup-style environment with meaningful impact and direct collaboration with a small, senior AI team #J-18808-Ljbffr

At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development. Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable. As an early engineer focused on our data infrastructure, you won't just write code-you'll define core architecture and help scale a real-time telemetry platform from the ground up. You'll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world. In This Role, You'll: Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs Help define engineering culture, standards, and processes Collaborate closely with peers on architecture, design, code reviews, and scaling strategies The Skillset You'll Bring: Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline 7+ years of experience in backend, infrastructure, or data engineering roles Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform Strong communication skills and a collaborative approach to problem-solving Bonus Points: Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet Experience building resilient, performant systems that scale to billions of records Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques Engineering at Sift: You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include: Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux Location: The Sift team is based in El Segundo, CA, and we collaborate in person twice a week-Mondays and Thursdays. We work closely with LA's leading hardware companies, from autonomous vehicle manufacturers to spacecraft builders. Proximity matters for site visits and deep collaboration, so we prefer candidates local to Los Angeles. We are open to relocation and for exceptional talent we're open to remote work from the San Francisco Bay Area. Salary range: $200,000 - $250,000 per year. Plus equity and benefits. Eligibility: Due to the nature of our work, U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements. #J-18808-Ljbffr

A data-focused technology company is looking for a Product Engineer to enhance their platform and support data solutions. The role, which offers remote work flexibility across the United States, demands proficiency in Python and TypeScript. Ideal candidates will have over 3 years of experience and strong communication skills. The estimated salary is between $165,000 to $210,000, along with equity and benefits. #J-18808-Ljbffr

Anzen was founded by former insurance and tech executives who've collectively scaled three unicorns. Backed by leading investors like Andreessen Horowitz (a16z) and Madrona, we're on a mission to transform how companies choose and understand commercial insurance using AI. Commercial insurance today runs on emails, PDFs, and lengthy underwriting cycles - often taking weeks to secure coverage. Anzen is building the world's first AI insurance platform for brokers, radically improving how they manage submissions, select markets, and generate quotes for their clients. We've built a team from top universities, with experience scaling products at Google, Uber, Lyft, Oracle, and startups founded by the best investors in the world, and are continuing to scale our team in Mexico, Canada, and the United States. You will build our core technology to ensure it can scale to hundreds of millions of dollars in insurance policies and use ML to help insurance underwriters be 5-10x more effective. Responsibilities Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts. Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure. Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements. Elevate engineering quality, driving technical roadmaps and championing best practices. Mentor our Engineering team and help define Engineering culture at Anzen. What we're looking for 8+ years building data‑intensive or ML‑driven backend systems. Production mindset: you've shipped business critical models with measurable business impact (latency, cost, ROI). Broad ML toolbox, from classic ML (especially NLP) to GenAI. Strong backend fundamentals: distributed systems, streaming data pipelines. Fluency in Python and/or TypeScript in a production environment. Startup DNA: thrive in ambiguity, bias to action. $200,000 - $230,000 a year Why Join Anzen: Come join us in reinventing the future of insurance. Work with advanced technologies in a rapidly growing industry. Opportunities for professional development and career advancement. A collaborative and innovative company culture focused on excellence and integrity. Be part of a company that values proactive risk management and cutting‑edge solutions. Company Culture: Anzen believes the world of work is fundamentally different in the new post‑Covid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ. #J-18808-Ljbffr

A future-focused healthcare AI company in San Francisco is seeking a Staff Machine Learning Engineer to architect and maintain their machine learning infrastructure. In this role, you will develop cloud-native services and support advanced AI research to improve clinical outcomes. Ideal candidates should have 8+ years in ML Engineering, with strong Python skills and experience in cloud-native environments. This position also offers flexible working arrangements within a supportive team environment. Your contributions will have a meaningful impact on patient care. #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

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 We're looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of building scaled, performant features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what's possible in applied AI systems development. You'll work alongside a talented team to deliver industry-leading solutions and contribute to Lightfield product and technical vision. What you'll do Collaborate with product leaders to identify customer problems, scope requirements, and implement solutions. Build and maintain full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance. Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement. Mentor teammates, participate in code reviews, and help shape engineering culture and practices. Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing. Who you are 3+ years of experience in software development, with a strong background in both front-end and back-end technologies. Experience building scalable, high-performance systems that can support complex customer workflows and large-scale data processing. You're excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them. You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL. Strong fundamentals in software engineering, with a degree in Computer Science or a related field. Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment. Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.> Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable. 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

Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand. Please mention the word GLEEFUL and tag RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA== when applying to show you read the job post completely (#RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job web3 code engineer engineering #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions. #J-18808-Ljbffr

Holder Construction is seeking qualified highly motivated candidates in our Mechanical, Electrical and Plumbing Services Team at one of our regional projects in Columbus, OH. Primary Responsibilities Communication with electrical/mechanical equipment vendors, electrical/mechanical design engineers, clients and subcontractors. This position involves procurement of electrical/mechanical subcontracts and equipment, managing contracts and contract deliverables from bid solicitation through contract award, equipment submittal coordination, assistance with electrical/mechanical and overall construction cost estimates. Common projects include commercial projects within our core markets: Data Centers; Aviation; Higher Education and Corporate / Commercial Office. Requirements For This Position Include Bachelor's degree in Mechanical, Electrical Engineering or Construction Management The ideal candidate will have 5+ years of Mechanical, Electrical and Plumbing preconstruction experience and have the following skill sets: Ability to read and understand electrical, HVAC, plumbing, architectural and civil plans, and specifications Familiar with standard concepts, practices, and procedures of MEP Systems and equipment Good communication skills Ability to identify and resolve issues Effective participation in a team environment Detail-oriented with the ability to manage multiple projects and tasks