Senior research engineer work from home jobs - 1896 jobs

Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment. Key Responsibilities: Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration. Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy. Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning. Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services. Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks. Participate in developing agent governance and compliance frameworks aligned with enterprise standards. Translate business features and requirements into technical implementation tasks and contribute to solution design discussions. Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems. Required Qualifications: Degree in Computer Science, AI/ML, or related technical field. Hands-on experience in Generative AI and agentic AI development. 4-5 years of total experience in AI/ML engineering or applied machine learning. Experience building and deploying production AI/ML systems. Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts. Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services. Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen) Python and LLM integration, including MCP and A2A orchestration. Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub. Preferred Qualifications: Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards). Experience with multi-modal models and/or advanced optimization strategies. Contributions to open-source AI tooling or published applied work.

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements * Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. * Knowledge of ML/AI applications and models * Knowledge of performance profiling and optimization tools for GPU programming * Excellent problem-solving and analytical skills * Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities * Optimize and fine-tune GPU code to achieve better performance and scalability * Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems * Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. As a Research Engineer in our Reasoning team, you'll play a crucial role in shaping our technological direction, focusing on our test-time compute scaling research ideas. If you love working with synthetic data and teach LLMs reasoning abilities, this role is for you. For more details about the project you would be working on, check out our outlook on decentralized training in the inference-compute paradigm. Responsibilities Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques. Contribute to the development of our open-source libraries and frameworks for synthetic data generation and distributed RL frameworks. Publish research in top-tier AI conferences such as ICML & NeurIPS. Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers. Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, synthetic data gen research and proactively identify opportunities to enhance our platform's capabilities and user experience. Requirements Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models. Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads. Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. Passion for advancing the state-of-the-art in reasoning and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources (here, here and here) and please reach out! Benefits & Perks Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect. Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. Visa sponsorship and relocation assistance for international candidates. Quarterly team off-sites, hackathons, conferences and learning opportunities. Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm's IT Engineering teams build and operate the tools, systems, and services that power Affirm's employee-facing IT experience. We're a creative, craft-minded team focused on building and maintaining services which are speedy, simple, and secure so Affirmers across our global, remote-first workforce can be productive from day one. Client Platform Engineering builds and maintains the hardware and software at the heart of Affirm's employee-facing operations. We're a creative, cross-functional team that cares deeply about our craft and the working lives of Affirmers around the globe. We own Affirm's endpoint platform and deliver scalable, secure solutions - including zero-touch provisioning, package and patch management, and silent updates - while partnering cross-functionally with teams like Security, Engineering, Product and Support. As a member of this team you'll have direct influence over how Affirmers experience their workplace technology and the opportunity to lead high-impact projects that improve reliability, security, and productivity across an engaged global workforce. What You'll Do Administer and scale mac OS device management using Jamf Pro, ensuring endpoints meet company compliance standards (e.g., encryption, OS patching, configuration profiles, application management). Guide architectural decisions to ensure endpoint management can easily scale with the company Drive key technical initiatives such as permission automation, third-party patching, silent updates, stability improvements, and streamlined device deployment. Build automation and infrastructure-as-code pipelines using tools like Terraform (or similar), Bash/Python scripting, and Jamf/Okta/MDM APIs to minimize manual work and create “zero-touch” provisioning workflows. Manage enterprise-grade software and package deployment, using tools like AutoPkgr or equivalent for packaging and silent rollout of updates at scale. Implement and refine endpoint change control processes, with communication, testing, rollback plans, and compliance tracking. Create dashboards and reporting for visibility into compliance, patch levels, and device health. Collaborate closely with Security, Support, Engineering, and IT to enforce policies (e.g. least-privilege), onboard security agents (AV, EDR, disk encryption), and integrate devices with Okta SSO, Oomnitza, Google Workspace, and other monitoring tools. Serve as the escalation tier for complex endpoint issues-troubleshoot deep mac OS, hardware, networking, or software issues and act as a knowledge source for IT Support. Mentor junior engineers-share expertise, set best practices, and help elevate the team's Jamf, scripting, and automation capabilities. Explore and evaluate new endpoint-management and automation technologies, run POCs, and recommend adoption to improve platform efficiency, security, and user experience. Work directly with Developer Productivity to support the unique needs of Affirm's engineers. What We Look For 5+ years of hands-on experience managing mac OS (and ideally other endpoints) at scale with enterprise MDM tools - Jamf Pro expertise required (Jamf 300+ level). Strong scripting capabilities in Bash, with fluency in a second language like Python; ability to programmatically integrate with RESTful APIs (Jamf API, Okta API, etc.). Proven proficiency in automation / infrastructure-as-code tools like Terraform, Ansible, or similar in an IT context. Experience with Windows Intune and Windows Endpoint Management Deep understanding of enterprise security practices for endpoints, including vulnerability/patch management, enforcing least privilege, encryption, and compliance frameworks. Experience building and managing package/software distribution pipelines, with tools like AutoPkg, Jamf, or others. Exceptional troubleshooting skills and ability to debug complex endpoint issues; capable of representing the IT team in high-severity escalations. Excellent cross-functional communication skills with a collaborative mindset-able to work with Security, Support, and Engineering teams effectively. A positive, growth-oriented attitude, with strong written communication: documentation, runbooks, dashboards, and process guides. Prior experience serving as a technical mentor or functional lead in a high-growth or enterprise environment is strongly preferred This position requires either equivalent practical experience or a Bachelor's degree in a related field. Pay Grade - M Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180,000 - $230,000 USA base pay range (all other U.S. states) per year: $160,000 - $210,000 Please note that visa sponsorship is not available for this position. #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Exodus is looking for a Staff Software Engineer to lead our Solana integration efforts and take wallet support to the next level. In this role, you'll own everything from wallet integration to fine-tuning smart contracts, ensuring a fast, seamless, and reliable experience for our customers. The ideal candidate is deeply immersed in the Solana ecosystem and knows the chain inside and out. You'lll be responsible for optimizing our existing Solana implementation and building the features that will define the next generation of Solana experiences for Exodus customers. What You Will Do Contribute meaningful code for Solana features across the Exodus products. Identify areas for Solana integration improvements. Improve smart contract development for new products. Take ownership of all Solana integrations and fixes. Who You Are Expert level proficiency in JavaScript, with experience building modern, performant applications. Deep expertise with the Solana blockchain, including Solana's architecture and account model. Proven experience developing Solana wallet integrations. Hands-on experience building fullstack Solana Web3 applications, from smart contracts to frontend dApps. Proficiency in writing, testing, and deploying Solana smart contracts. Understanding of various NFT and Token Standards. A Plus Contributions to open-source projects, especially within the Solana ecosystem. Proven experience shipping production level React Native mobile applications. Experience developing financial or DeFi applications. About Exodus Exodus is a multi-asset cryptocurrency wallet with a built-in exchange feature. We started our movement in 2015, and have been a distributed team since then. Our mission is to help half of the world exit the traditional financial system and move into the crypto financial system by the year 2030. What We Offer Freedom to work wherever you want, whenever you want. Building the future. Cryptocurrencies lay the foundation to the internet of value, the next major wave in application technology and personal finance. Collaborative and feedback-driven culture. Opportunity to grow. Fair pay, no matter where you live, along with a competitive benefits package. 100% pay in Bitcoin with a buffer to account for price changes and exchange fees. All the tools you need to do the job. Benefits Health: Most of our health insurance plans are covered 100% for you and covered 50% for your dependents. We'll also cover dental insurance. If you are outside of the United States, we will reimburse you up to $500 per month for any medical and dental insurance for you and your dependents. PTO: 30 days of paid time off per year on top of a flexible schedule where you can work wherever and whenever . If you're part-time with us, you'll still receive 15 days of paid time off. Unlimited Bereavement: We will pay you your full salary for the first two weeks for the loss of any immediate family members, but we allow you to take all the time you need to grieve outside of that. Parental Leave: 13 weeks of fully paid leave with and a month of flexible work for the primary caregiver. 4 weeks of paid leave if you are the child's secondary caregiver. Tax Help: Getting paid in Bitcoin new to you? Don't worry! We will reimburse you for speaking with a professional tax specialist in your state/country to make sure everything is taken care of. Perks: Exodus offers a variety of seasonal perks, such as coverage for gym memberships and therapy. We also offer quarterly Wellness Days! We want to make sure all of our employees know they are our priority and give back for their hard work often. Our Hiring Process To apply, we'd love to learn more about you. Please answer our application questions! Submitting a resume is optional. Our hiring process consists of several different stages. Recruiter Interview: If we like your initial application, expect to schedule an interview with a member of our recruitment team. This interview will focus on getting to know you a bit more and will focus on explaining the culture of the company. We want to know more about why you want to join our team, how you feel about our mission and cryptocurrency now, and how it fits into your overall career plan to make sure this is the right place for you. Live Coding Interview: Not every role consists of a live coding assessment, but if yours does, it will be directly related to the job you apply for. Interview with your future manager: This is to make sure that you are a fit for the role you are applying to and to explore your career history. In this interview, we'll learn more about the hard and soft skills you possess to help determine if you'd be a good fit for us. Interview(s) with your future colleagues: We call these focus interviews, and they are a time for you to learn more about your role from someone you will closely collaborate with. It's also a time for us to see how we align in terms of competencies and expected outcomes of the role. Pay Transparency Notice: Salary and all other total compensation information (commission and benefits) will be discussed in detail during the hiring process. Salary Range$180,000-$240,000 USD

HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. Our Mission: People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. About the role We're looking for a research engineer to help build out task configs and environments for evaluation datasets on HUD's CUA evaluation framework. Responsibilities Build out environments for HUD's CUA evaluation datasets, including evals for safety redteaming, general business tasks, long-horizon agentic tasks etc. Deliver custom CUA datasets and evaluation pipelines requested by clients Contribute to improving the HUD evaluation harness, depending on your interests, skills, and current organizational priorities. (Optional, but highly valued!) Experience Technical Skills Proficiency in Python, Docker, and Linux environments React experience for frontend development Production-level software development experience preferred Strong technical aptitude and demonstrated problem-solving ability Strong candidates may have: Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong communication skills for remote collaboration across time zones Familiarity with current AI tools and LLM capabilities Understanding of safety and alignment considerations in AI systems Evidence of rapid learning and adaptability in technical environments (e.g. programming competitions) Have hands-on experience with or contributed to LLM evaluation frameworks (EleutherAI, Inspect, or similar) Built custom evaluation pipelines or datasets Worked with agentic or multimodal AI evaluation systems We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. Representative projects: Creating and solving challenging competitive programming problem-sets Curating large high-quality datasets, especially for research and evaluation of multimodal AI agents Designing complex, functional fullstack applications. Bonus points if they have users / adopters. We prioritise contributions that show quality and quantity, such as building out large, high-quality datasets. Imagine making about ~10 small puzzles in mock web environments a day. Team & Company Details Team Size: ~15 people currently, mostly full-time in-person, but some remote. Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc Company stage: We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand. Logistics Employment: Fulltime preferred, but willing to consider part-time/internship arrangements for exceptional candidates. Location: Fully remote-friendly. We already have several fulltime, 100% remote hires. But if you're in the San Francisco Bay Area or Singapore, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to USA or Singapore. For part-time/contract/internship arrangements, we'll work fully remote (which makes things simpler anyway). Timeline: Applications are rolling. The process should involve 1 initial call, 1 five-hour take-home assignment and 1 paid, weeklong work trial before final offer. Due to high volume, we may not actively respond to every application, but feel free to contact us at ***************** or elsewhere if we missed your application!

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT OUR TEAM You'll join a tight-knit group of engineers and researchers from leading labs and product companies (DeepMind, Palantir, GitHub, among others). The culture is low-ego and high-bar, organized around hard problems. It's a place to learn by building - side-by-side with people who care about craft, rigor, and impact - on challenges that matter and aren't found anywhere else. Very few companies get a seat at this table, and all the ingredients are in place to give us the right to win. Now we just need to execute. ABOUT THE ROLE As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems. Hard problems aren't solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality. This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You'll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. RESPONSIBILITIES FDREs work in small teams with the agility and autonomy of a startup, but with the experience and support of an established organization. Among other things, you will Own the mission end-to-end. Be the technical owner in the field, clarify goals, shape the plan, make the hard calls, and ship systems that move real metrics. Partner for impact. Work directly with operators and executives to scope what matters most, then turn it into production results. Build with research in the loop. Collaborate with AI R&D on prompts, tools, and model improvements; bring back field-signals that make the next model, and the platform, better. Turn wins into a flywheel. Convert patterns into playbooks, products, and libraries so that every deployment is faster, more powerful, and more reliable than the last. WHAT YOU'LL SEE IN THE FIELD These are the kinds of skills and technologies you'll likely use and develop over time. Strong experience in any is a plus, not a prerequisite. We look for spikes! Software engineering & platforms: Backend services at scale; distributed systems; data/feature pipelines; queues/caching; fault tolerance. Agentic/LLM systems: multi-agent systems; agent communication/delegation; evals; long-running, fault-tolerant agents; tools/prompt/program design; guardrails. Evaluation & experimentation: Designing evals; monitoring performance/drift; fundamentals of Data Science/ML; able to turn a hazy problem into a structured exploration. Cloud & ops: Kubernetes, Docker, IaC (Terraform/CDK), networking, secrets, observability (Grafana/Prometheus/Datadog), CI/CD. Model ops: Fine-tuning/RL; designing agent environments; managing inference. Enterprise delivery: Security/compliance, data governance, integration with legacy systems. SKILLS & EXPERIENCE Exceptional, high-agency, low-ego. You bias to action, collaborate well, and are motivated by impact and outcome. Learning-driven. You pick up new domains quickly, ask sharp questions, and turn are comfortable with ambiguity. Product-minded. You translate field pain into clean abstractions, docs, and tools others can use. Adventurer. You are eager and willing to travel and experience new things, and meet unforeseen challenges with creativity and resourcefulness. Excellent communicator. You express ideas clearly, listen actively, and build east rapport with customers and teammates alike. If you're unsure whether you check every box, you should still apply! Impact beats pedigree here. PROCESS Intro call with a member of the Forward Deployed team Technical Interview with a Member of Engineering Interview with (another) member of the Forward Deployed team People Interview with Beatriz, Head of People BENEFITS Fully remote work & flexible hours; 37 days/year of vacation & holidays; Health insurance allowance for you and dependents; Company-provided equipment; Wellbeing, always-be-learning and home office allowances; Frequent team get togethers in Paris; Great diverse & inclusive people-first culture.

BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We've got a team of 200+ professionals, with a strong emphasis on technology-70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution-transforming complex datasets into predictive trading signals that capture short-term market opportunities. You'll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don't stay in theory but turn into real, monetized strategies. Key Responsibilities: Perform rigorous, time-sensitive applied research across diverse data sources-including high-frequency market data and alternative datasets-to uncover systematic anomalies. Design and engineer predictive features that can be rapidly tested and deployed into production strategies. Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation. Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently. Qualifications Bachelor, Master's or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution. 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred. Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves. Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code. Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor. High sense of ownership, urgency, and accountability. Additional Information What we offer: Experience a modern international technology company without the burden of bureaucracy. Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more. Enjoy excellent opportunities for professional growth and self-realization. Work remotely from anywhere in the world with a flexible schedule. Receive compensation for health insurance, sports activities, and non-professional training.

We help make autonomous technologies more efficient, safer, and accessible. Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale. Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. You will: You will focus on research and development related to the optimization of ML models on GPU's or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you will: Research, prototype and evaluate state of the art model optimization techniques and algorithms Characterize neural network quality and performance based on research, experiment and performance data and profiling Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow. Define the technical vision and roadmap for DL model optimizations Write technical reports indicating qualitative and quantitative results to colleagues and customers Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms You have: Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU's or AI accelerators Strong understanding of deep learning algorithms, software engineering and GPU-based computing Experience working with neural networks in Tensorflow and/or PyTorch Proven ability to thrive in fast-paced environment Ability to communicate complex technical concepts to colleagues and a variety of audience Introspection, thoughtfulness, and detail-orientation Proficiency in Python The following are a plus, but not required: Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field Computer vision experience We offer: Competitive health insurance options 401K plan management Free lunch and fully-stocked kitchen in our South Bay office Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts - turning days of manual experimentation into hours. You'll build the tools and infrastructure that enable researchers across the organization to develop, evaluate, and optimize reward signals for training our models. Yourscalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models. This is a role for someone who wants to stay close to the science while having outsized leverage. You'll partner directly with researchers on the Rewards team and across the broader Fine-Tuning organization to understand what slows them down: running human data experiments before adding to preference models, debugging reward hacks, comparing rubric methodologies across domains. Then you'll build the systems that make those workflows 10x faster. When you have bandwidth, you'll contribute directly to research projects yourself. Your work will directly impact our ability to scale reward development across domains, from crafting and evaluating rubrics to understanding the effects of human feedback data to detecting and mitigating reward hacks. We're looking for someone who combines strong engineering fundamentals with research experience - someone who can scope ambiguous problems, ship quickly, and cares as much about the science as the systems. Note: For this role, we conduct all interviews in Python. Responsibilities Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment Implement monitoring and observability systems to track reward signal quality and surface issues during training runs Collaborate with researchers to translate science requirements into platform capabilities Optimize existing systems for performance, reliability, and ease of use Contribute to the development of best practices and documentation for reward development workflows You may be a good fit if you Have prior research experience Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects Have strong Python skills Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling Can balance building robust, maintainable systems with the need to move quickly in a research environment Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI Strong candidates may also have experience with Experience with ML research Building internal tooling and platforms for ML researchers Data quality assessment and pipeline optimization Experiment tracking, evaluation frameworks, or MLOps tooling Large-scale data processing (e.g., Spark, Hive, or similar) Kubernetes, distributed systems, or cloud infrastructure Familiarity with reinforcement learning or fine-tuning workflows Representative projects Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up Developing automated systems to detect reward hacks and surface problematic behaviors during training Creating tooling for comparing different grading methodologies and understanding their effects on model behavior Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs Streamlining dataset preparation workflows to reduce latency and operational overhead The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary:$315,000-$340,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred : Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Responsibilities Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. Build services for reading, processing, and writing 2D/3D engineering data. Develop rendering modules for generating 2D/3D visual assets. Curate and manage large-scale datasets for learning-based systems. Implement and optimize post-training workflows for machine learning models. Contribute to the development of domain-specific languages for engineering tasks. What we are looking for 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. BSc or MSc in Computer Science, Engineering, or a related field. Proficient in writing clean, modular, and maintainable Python code. Experience with dataset creation and data pipeline development. Bonus Points PhD or MS with a focus in Computational Design, Simulation, or AI. Experience developing CAD/CAM/CAE software tools. Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning. Experience designing or implementing DSLs or compilers.

Job SummaryThe Alignment of Dynamical Cognitive Systems program seeks a Research Engineer to develop novel AI platforms addressing critical alignment challenges and practical LLM agents. Combining platform development with alignment research, this role requires expertise in agent-based systems and multi-objective optimization. You'll co-design and develop systems supporting safety research, internal tools, and community resources -- creating environments to shape multi-agent dynamics and implement cooperative AI architectures with robust alignment properties. You'll also build technical infrastructure to investigate experimental AI alignment and control approaches while collaborating with researchers to bring theoretical approaches into practice. This position offers the chance to develop foundational technologies essential for promoting safety as AI capabilities rapidly advance. About CARMAThe Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to lower the risks to humanity and the biosphere from transformative AI.We focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to provide critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of Social & Environmental Entrepreneurs, Inc., a 501(c)(3) nonprofit public benefit corporation. Responsibilities• Research and develop AI systems and platforms variously for: safety research, internal tooling, and safety community support• Design and implement architectures for agent execution environments and interaction platforms• Develop optimization algorithms for multi-objective and cooperative AI systems• Create mechanisms for conflict resolution and preference aggregation in multi-agent settings• Implement testing frameworks and example environments to validate theoretical approaches• Build middleware components that facilitate secure and efficient agent communication• Architect and develop reusable software components for AI alignment research• Document system architectures, APIs, and implementation details• Collaborate on technical publications and research presentations• Contribute to both practical implementations and theoretical research in AI alignment• Support the evaluation and refinement of research prototypes Required Qualifications• MS or PhD in Computer Science, AI, or related field (or equivalent experience)• Experience with one or preferrably more of: dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms• Strong programming skills in both Python and Java• Demonstrated ability to relatively independently drive technical projects from concept to implementation• Familiarity with techniques for AI alignment, control, safety, or related research areas• Experience developing middleware, frameworks, or platforms• Breadth of experience in machine learning and AI systems architecture• Literate in semi-formal semantics • Excellent communication skills and technical documentation abilities Preferred Qualifications• Publications (formal or informal) in AI alignment, AI safety, or related research areas• Familiarity with varied multi-objective optimization techniques• Experience with contextual pragmatics and/or constraint satisfaction problems• Developed novel multi-agent architectures• Experience with LLMs and integrating them into agent architectures• Experience with distributed systems and platform development• Knowledge of security and privacy methods for multi-party computation• Understanding of basic game theory and/or social choice theory concepts• Familiarity with metacognitive systems, metareasoning, or dynamical cognitive approaches• Demonstrable open source project contributions• Experience building systems that actively manage trade-offs between competing objectives CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the basis of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and action, an inclusive organization and actively promote equal opportunities for all humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual merit for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates outside the U.S. would be engaged as independent contractors with project-focused responsibilities. Note that we are unable to sponsor visas at this time.

SummaryJob Description About our business GE Vernova is a planned, purpose-built global energy company that includes Power, Wind, and Electrification segments and is supported by its accelerator businesses of Advanced Research, Consulting Services, and Financial Services. Building on over 130 years of experience tackling the world's challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. At GE Vernova, our Hydro Power division stands at the forefront of the hydroelectricity generation industry. We are dedicated to designing, manufacturing, and installing cutting-edge equipment for hydroelectric power plants, as well as servicing and refurbishing existing facilities to ensure optimal performance and longevity. Our turbines and generators account for over 25% of the total installed hydropower capacity worldwide. With a dynamic team of 3,600 professionals spread across more than 30 countries, we have the energy to change the world. Be part of a team that is not only shaping the energy landscape but also contributing to a more sustainable planet. Join us and make a difference with GE Vernova's Hydro Power business division! Read more on ***************** About Position The Principal Engineer in the Centre of Excellence (COE) is responsible for validating designs for projects under execution within the COE. The individual will collaborate with lead engineers and support the COE on key deliverables, ensuring timely execution of projects with a high first-pass yield. They will actively evaluate new ideas and technologies to enable cost optimization and resolve technical issues during project execution by coordinating with interfacing functions, COEs, and site crews. The role includes leading critical technical assignments and programs while providing technical expertise for project execution. The Principal Engineer will utilize their experience to solve complex problems, develop and achieve objectives for short- and long-term business goals, and demonstrate proficiency in the design and troubleshooting of hydro generators. Role & Responsibilities Validate designs for COE projects under execution, ensuring alignment with key deliverables and timely project completion with a high first-pass yield. Collaborate with consulting engineers to develop design practices, update technical guidelines, and maintain robust documentation. Evaluate and adopt emerging technologies and solutions, transferring knowledge to the COE team. Leverage technical expertise to resolve business problems by collaborating with cross-functional teams, including product lines, systems engineering, material processes, advanced manufacturing, sourcing, quality, and site teams. Lead and deliver New Product Introduction (NPI), cost-out programs, and "should-cost" initiatives within the COE. Implement lessons learned from fleet and supplier quality issues into new designs, emphasizing design robustness and reliability. Exercise technical discretion and decision-making to address and resolve site and customer-related issues. Ensure adherence to GE Global Engineering technical standards, including technology, quality, and technical rules. Foster a collaborative and innovative team environment that encourages open communication, creative thinking, and cohesive group dynamics. Qualifications Bachelor's or advanced degree in engineering with a minimum of 10 years of experience in hydro-related fields. Strong expertise in hydro products, components, and systems, with hands-on experience in hydro generator design and engineering execution. Proficiency in basic and detailed engineering, with strong skills in checking and validation processes. Open-minded and multicultural, capable of working efficiently with cross-regional COE teams. Excellent verbal and written communication skills in English. Knowledge of additional languages is preferred but not mandatory. Desirable Proactive, with a strong sense of urgency and autonomy. Exceptional analytical and critical thinking abilities, with the capability to translate insights into clear strategic recommendations. Strong focus on cost, safety, and reliability. Effective in team collaboration, fostering a culture of continuous improvement and adaptability. Ability to prioritize tasks effectively in a multicultural and multilocation environment. Rigorous in analysis and decision-making while being open to change and improvement. This position offers an opportunity to play a pivotal role in advancing engineering excellence within a dynamic and innovative team. If you are passionate about driving technical advancements in hydro generator design and thrive in a collaborative environment, we encourage you to apply. Inclusion & Diversity: At GE Vernova, we believe in the value of your unique identity, background, and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong. Please click here to learn more: *****************/sustainability/thrive Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position For candidates applying to a U.S. based position, the pay range for this position is between $111,200.00 and $185,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: ineligible.This posting is expected to remain open for at least seven days after it was posted on December 16, 2025.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Type: Full-time Experience: 8+ years Astra is a high-impact engineering team building mission-critical financial infrastructure. Our fintech platform powers payment processing, fraud detection, and financial compliance for businesses handling 100M+ in weekly transaction volume. We maintain 99.9%+ uptime, process complex cross-border payments, and coordinate with multiple third-party financial services while meeting strict regulatory requirements. The Role We're looking for a Senior/Staff Backend Engineer to architect and build complex financial systems that process millions of dollars daily. You'll be one of our core engineers designing cross-domain solutions that coordinate payments, fraud detection, compliance, and user management across our distributed microservices architecture. This role requires deep systems thinking, technical leadership, and the ability to solve complex engineering challenges that span multiple domains and external integrations. What You'll Do Architect Critical Financial Systems: Design and implement payment processing, fraud detection, and compliance systems that handle millions of dollars daily with strict regulatory requirements Lead Cross-Domain Solutions: Coordinate complex interactions between payments, fraud detection, user management, and compliance systems Drive Technical Decisions: Lead architecture decisions that impact our entire platform and establish best practices for a growing team Mentor Engineers: Guide junior engineers and establish coding standards, design patterns, and engineering practices Optimize System Performance: Improve reliability and performance across our distributed microservices architecture Collaborate Across Teams: Work closely with product and compliance teams to design systems that meet business and regulatory requirements What We're Looking For Staff Backend Engineer Requirements 8+ years of software engineering experience building complex, production systems 3+ years of technical leadership experience (mentoring, architecture decisions, cross-team coordination) Demonstrated systems engineering experience solving complex, cross-domain challenges Strong foundation in algorithms, data structures, and computer science fundamentals Experience with distributed systems, event-driven architectures, and microservices Education Bachelor's degree in Computer Science, Engineering, or related field required Master's degree in Computer Science or Engineering from an accredited university highly preferred Technical Skills Backend Development: Python (we use Python 3), strong understanding of web frameworks and APIs Database Design: Experience with NoSQL and SQL databases Cloud Infrastructure: Google Cloud Platform, or similar cloud platforms Architecture Patterns: Domain-driven design, clean architecture, CQRS System Design: Ability to design systems that balance performance, maintainability, and business requirements Preferred Experience Financial Systems: Payment processing, fraud detection, or compliance systems Financial Regulations: Understanding of AML, KYC, PCI DSS, or similar regulations Banking Integrations: Experience with financial APIs and money movement systems High-Scale Systems: Experience with systems processing high transaction volumes Third-Party Integrations: Experience coordinating multiple external service integrations Why This Role Matters Direct Impact: You'll be a big part of a small engineering team building systems that power a growing fintech platform Architecture Influence: Lead technical decisions that will scale with our business Complex Problems: Work on sophisticated challenges that few engineers get to solve Team Building: Establish engineering practices and culture from the ground up Financial Innovation: Build systems that enable new financial products and services What We Offer Competitive compensation with equity in a growing fintech company Remote-first culture with flexible working arrangements Small team, big impact - your work directly shapes our platform Professional growth - lead technical decisions and mentor team members Modern tech stack - work with cutting-edge cloud technologies Mission-driven - build systems that power financial innovation Remote Work and Culture Astra is a remote-first company hiring only within the U.S. We value thoughtful collaboration, clarity, and initiative. We're proud to be an equal opportunity employer and are committed to building a diverse and inclusive team. How to Apply We're looking for engineers who are excited by complex systems problems and have the educational background and experience to handle sophisticated challenges. If you're passionate about building mission-critical financial infrastructure and want to have a direct impact on our technical direction, we'd love to hear from you.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor's students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.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.

The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Role At Medely, we're transforming how healthcare professionals and facilities connect: faster, smarter, and at scale. Every experience we build helps nurses, clinicians, and hospitals focus less on logistics and more on care. As our Staff Front End Engineer, you'll lead the front end vision for one of our core product teams. You'll partner with backend and mobile engineers to design elegant, performant, and scalable user experiences that power both sides of our marketplace. From architecture decisions to mentoring engineers, you'll shape how healthcare staffing feels and functions in the modern era. The Impact You'll Make: Act as the front end technical lead for cross-functional, agile teams building high-impact web applications. Drive architecture decisions and code standards to ensure scalability, maintainability, and performance. Collaborate with product, design, and backend partners to translate ideas into delightful, accessible, and performant interfaces. Lead by example - write high-quality, testable code and perform thoughtful code reviews. Champion modern front end technologies, developer tools, and patterns to continuously evolve our stack. Mentor and elevate other engineers through knowledge sharing and collaboration. Who You Are: 7+ years of professional front end development experience, with deep expertise of 3+ years in React (including state management, animations, and Webpack). Strong understanding of JavaScript/TypeScript and modern frameworks; React Native experience is a plus. Proven experience leading or architecting complex, interactive applications end-to-end. Passion for design systems, performance optimization, and crafting exceptional user experiences. Track record of mentoring engineers and improving team culture and process. Collaborative mindset - you're equally comfortable whiteboarding solutions or rolling up your sleeves to ship them. Awareness of scalability and performance considerations across browsers and devices. BS/BA in Computer Science or related technical field (or equivalent practical experience). What Will Set You Apart You think beyond the code. You care about how things are built and why they matter to the user. You've owned complex, high-traffic web applications and made measurable improvements to performance, scalability, or developer experience. You have strong opinions, loosely held: you can articulate architectural decisions clearly but stay open to new ideas. You find joy in details: accessibility, animation timing, responsiveness - the subtle things that turn a good UI into a great one. Why Medely: Benefits & Perks Competitive Compensation: Based on experience and performance Long-term Incentives: 401k Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO Paid parental leave Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! Ownership: Drive meaningful business impact on a team you'll help build and define! Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.

Country USA State Ohio City Cincinnati Descriptions & requirements About the role: As a customer obsessed Staff Engineer, you will join one of our agile teams and will be responsible for developing new versions of our core applications using a modern tech stack. You will identify opportunities to incorporate tools and technologies that help make your fellow developers more productive. You are a technical leader with a passion for delivering big results for your customers. You will use your full-stack software engineering experience to architect and develop a mix of custom and third-party solutions to help us maintain our leadership position in transportation technology. What's in it for you: * Position based in Cincinnati, OH, Charlotte, NC or Tampa, FL (relocation assistance provided) * Access to the latest emerging technologies * Influence and build the future of TQL Technology * A culture of continuous education and technical training (and reimbursements for the same) * Hybrid work environment with the ability to work remotely 40 hours per month * Comprehensive benefits package * Health, dental and vision coverage * 401(k) with company match * Perks including employee discounts, financial wellness planning, tuition reimbursement and more * Certified Great Place to Work and voted a 2019-2026 Computerworld Best Places to Work in IT What you will do: * Lead and collaborate with cross-functional, full-stack agile teams to deliver software solutions that meet customer needs * Design and build hybrid, on-prem, and cloud-based APIs and web-based applications * Participate in and lead the full SDLC including technical research, requirements gathering, design, development, testing, deployment, and maintenance * Participate in a weekly support rotation, resolving incidents/problems as needed * Lead architectural design sessions for your team and review system designs for other teams. * Mentor junior and senior engineers across your team * Deliver industry-leading full-stack solutions to help support rapid growth of our business What you need: * BS in Computer Science and 5+ years of experience in software engineering, or 10+ years of experience in software engineering * 5+ years of hands-on, full-stack development experience: Web applications and web Services, REST APIs, .NET (C#), Front-end tools (TypeScript, React), databases (MS SQL Server). We accept proficiency in similar technologies with an eagerness to learn our stack. * 3+ years of leading a team with a proven track record of delivering complex solutions on time * Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency * Experience with Infrastructure as a Code (Terraform), containerization (Docker, Kubernetes), CI/CD (Jenkins, Circle CI), and operational tools (ServiceNow, DataDog) * Experience with modern development practices (DevOps) and coaching others in those areas * Microsoft Azure and cloud technology experience is a plus * Willingness to commit extra effort to meet deadlines as required for high profile and business-critical projects Where you'll be: 4289 Ivy Pointe Boulevard, Cincinnati, Ohio 45245 Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered. About Us Total Quality Logistics (TQL) is one of the largest freight brokerage firms in the nation. TQL connects customers with truckload freight that needs to be moved with quality carriers who have the capacity to move it. As a company that operates 24/7/365, TQL manages work-life balance with sales support teams that assist with accounting, and after hours calls and specific needs. At TQL, the opportunities are endless which means that there is room for career advancement and the ability to write your own paycheck. What's your worth? Our open and transparent communication from management creates a successful work environment and custom career path for our employees. TQL is an industry-leader in the logistics industry with unlimited potential. Be a part of something big. Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status. If you are unable to apply online due to a disability, contact recruiting at ****************** *

Applicant Privacy Notice 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 how it works. You treat the code as the source of truth and are able to discern nuances from there. Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. You feel at home in a hacker culture. You believe that creativity is not just limited to the arts. You understand the rules of the system primarily so you can bend them. WHAT YOU WILL BRING Highly proficient in Golang; the language and its primitives are second-nature to you, and you are comfortable mentoring others. Independent Solidity experience; you are comfortable deploying a smart contract to production. Deep knowledge of the life of an EVM transaction, from wallet to opcode. Demonstrable experience with geth internals are a bonus. Salary Range: $253,479 to $269,321 ( **This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week, with exceptions.) #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we're proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.