Python jobs in San Francisco, CA - Page 10Create job alerts

About Eventual Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms. Eventual and Daft Bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. At Eventual, we’re pushing the boundaries of artificial intelligence and large-scale distributed data systems. As a Research Engineer focused on AI Pretraining, you will operate at the intersection of cutting-edge AI research and scalable system development. Your work will involve implementing advanced dataset and model training techniques—including multimodal learning, synthetic data generation, and reinforcement learning from human feedback (RLHF)—to drive innovation and performance on the Daft data engine. In this role, you will collaborate closely with the Daft data engine team to build and optimize a high-performance data engine, ensuring it meets the scale and demands of modern AI workloads. * Build model pretraining pipelines: build training and data pipelines in a principled and observable manner using state-of-the-art data techniques * Develop a set of benchmarks: design and define the benchmarks for AI data workloads * Data Engineering for AI: Collaborate with our data engine team to design and optimize the Daft data engine for these targeted AI data workloads on massive 100TB+ datasets * AI Research: Stay at the forefront of AI research, incorporating the latest advancements into our data engine and platform capabilities * Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. * Deep understanding of transformer architectures, self-supervised learning, and AI model training techniques. * Experience with distributed training frameworks (e.g., DeepSpeed, FSDP, Horovod) and efficient model parallelism. * Expertise in data pipelines and large-scale dataset management. * Familiarity with ML compilers, kernel optimizations, and GPU acceleration is a plus. * Familiarity with systems programming (Rust, C++) is a plus. * PhD or equivalent research experience in Machine Learning, Computer Science, or related fields is preferred. * Work alongside world-class experts in distributed computing and AI research. * Build the next generation of scalable AI infrastructure and training techniques. * Competitive salary, equity, and top-tier benefits. * A collaborative, engineering-driven environment where innovation thrives. We are believers in both having the flexibility of remote work but also the importance of in-person work, especially at the earliest stages of a startup. We have a flexible hybrid approach to in-person work with at least 3 days of in-person work typically from Monday - Wednesday at our office in San Francisco. We believe in providing employees with best-in-class compensation and benefits including meal allowances, comprehensive health coverage including medical, dental, vision and more. A short phone screen over video call with one of our co-founders for us to get acquainted, understand your aspirations and evaluate if there is a good fit in terms of the type of role you are looking for. A technical phone screen question over video call to understand your technical abilities. Technical interviews with the rest of the Eventual team with questions to further understand your technical strengths, weaknesses and experiences. As many chats as necessary to get to know us - come have a coffee with our co-founders and existing team members to understand who we are and our goals, motivations and ambitions. We look forward to meeting you! We are well funded by investors such as YCombinator, Caffeinated Capital, ___ and top angels in the valley from Databricks, Meta and Lyft. Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning. Our team members have previously worked in top technology companies such as Amazon, Databricks, Tesla and Lyft. We are looking for exceptional individuals with a passion for technology and a strong sense of intellectual curiosity. If that sounds like you, please reach out even if you don't see a specific role listed that matches your skillsets - we'd love to chat!

Engineering, Full-Time San Francisco, CA Salary range: $165,000 - $220,000 + Equity At Ello, our mission is to maximize the potential of all children. Our first product, Read with Ello, is an AI reading teacher that listens to children read out loud. Ello uses speech recognition to help them when they get stuck, makes up stories using generative AI, and inspires a love for reading. We’re now building on the success of Read with Ello and putting together the pieces of the world’s first complete AI teacher for all children. Together, we believe we can close the primary school education gap worldwide. Ello has been recognized on Fortune’s “Change the World” and Time’s 2024 Best Inventions lists. We are well-funded, backed by world-class investors, and ready to recruit new talent to help us achieve our vision. Who you’ll be joining Ello’s 5-person Machine Learning team includes some of the world’s foremost experts in their areas. To give one example, our speech perception efforts are led by the co-authors of ___. At Ello, they’ve built the world’s best child speech recognition system, beating Whisper. That ability to understand child speech reliably enables us to unlock the power of generative AI tools for early childhood learning. We work on a broad range of machine learning problems across NLP/NLU, image generation, and speech perception. We collaborate closely with advisors from Stanford and top industry research labs (on a weekly basis, not in some hands-off way). We work in-person out of our San Francisco office and we’re big believers in face-to-face collaboration. About the role As the Tech Lead on the ML team, you will work closely with the Co-Founder & CTO to lead the architecture design for all of our ML efforts. You will be in charge of MLops in collaboration with our Platform team and set good standards for your colleagues on critical design questions around dataset management, experiment tracking, and distributed training infrastructure. You will also get into the weeds as an IC, develop and review model and application code, and implement state-of-the-art machine learning systems for reading instruction, story generation, and interactive dialogue teaching. You should have a strong background in software engineering and machine learning. We work on research problems on a production timeline. You will be successful in this role if you enjoy setting up scalable training systems and infrastructure from scratch and like shipping real-world products. Most importantly, you are excited about the opportunity to make a real impact on child development at scale. Responsibilities * Oversee the development and deployment of machine learning models to production environments * Lead by example, fostering a culture of excellence in architecture, coding, and model development * Provide guidance, regular feedback, education, and mentoring to other members of the ML team * Monitor and maintain deployed models and data pipelines * Independently lead research work streams as part of Ello’s ML team * Lead collaboration with platform and Unity engineers as well as TPM and data team on data collection, pipeline design, model training, and deployment * Continuously learn and stay up to date with the latest advancements in machine learning engineering Required Experience * 4+ years experience as an ML engineer/researcher working with modern Machine Learning toolkits (Python stack, very comfortable with PyTorch) * 2+ years of experience building, scaling, and optimizing ML systems * Experience setting up ML ops workflows and infrastructure from scratch in a startup environment (ideally in Terraform on AWS) * Production programming experience on a data-intensive project in distributed infrastructure * Experience deploying distributed data and training pipelines on Kubernetes * Experience with large language models * Experience writing high-performance, parallelized code * Applied mathematics and linear algebra proficiency at the level at which you can contribute to research discussions with a deeply technical team * Very accustomed to agile software engineering processes, git flow, etc. Nice to have experience * Prior experience setting up GPU clusters (e.g. previously set up SLURM, or built multi-cloud model training pipelines with Infrastructure-as-Code) * Some familiarity with basic full-stack web development workflows and frontend API interaction * 2+ years of experience leading teams developing ML solutions * On-device systems experience * An understanding of low-level build pipelines and deployment experience in C/C++ or similar * Experience working with mobile operating systems and I/O pipelines in resource-constrained environments * Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization) * Signal processing background We look for candidates who * Have something to teach us * Want to do work they are proud of to ship products they are proud of * Have an urge to make a real impact on child development at scale * Take initiative and full ownership of their work * Prefer open and direct communication grounded in empathy to beating around the bush * Exemplify integrity in their actions, decisions, and communication * Want to build meaningful relationships at work Here are some reasons to be a part of our team * Help lead a small but rapidly growing team of A+ engineers in a well-funded company * Work at the cutting edge of interactive learning and artificial intelligence * Stay plugged in with the research community while building real-world products * Do meaningful work supporting child development that you can witness firsthand during in-office playtests. Make an edit in your jupyter notebook this week, deploy it on-device in C++ next week, and watch it bring smiles to kids’ faces a day later A note on immigration We don’t shy away from sponsoring US visas and green card petitions. Our CTO and CEO have each gone through their own immigration journeys and are familiar with the challenges. We have successfully secured O-1 visas, H-1B transfers, etc. for Ello employees and retain top immigration counsel. About Ello Ello is a public benefit corporation on a mission to maximize the potential of all children. We’re currently around 45 people, headquartered in San Francisco, with offices in São Paulo, Brazil; Nairobi, Kenya; and New York. Our team has deep expertise in artificial intelligence, K-12 education, and child development across institutions such as Stanford, Berkeley, Google, Apple, and more. We were part of Y Combinator’s W20 batch and are funded by world-class investors including Goodwater Capital, Homebrew, Reed Hastings, Common Sense Growth, Ravensburger, Project A Ventures, Reach Capital, Khosla Ventures, WndrCo, Visible Ventures, and K9 Ventures. We’re a small, collaborative team that takes each other’s voices very seriously. Because our mission is to support all children, it is critical that our team is representative of the communities we work in; we place significant emphasis on ensuring diversity in our team and inclusion in our culture. We feel enormously privileged to be one of the few companies that has the opportunity to take a shot at truly revolutionizing education with AI at this inflection point in technology. We don’t take it for granted, so we work quite hard to turn that vision into reality with urgency. We want to create an environment in which we can all be our best selves, use our strengths to take Ello forward, and develop our own skills. We want to have fun while working hard to do impactful things that we’re proud of – and we believe it’s possible to do both. At Ello, we view diversity as a moral imperative and a competitive advantage. We do not discriminate on the basis of race, religion, skin color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you need any accommodations throughout the interview process, please reach out to .

A bit about Cantina: Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet. Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! A bit about the role: As the sole Senior DevOps Engineer, you will own the design, deployment, and optimization of our AWS cloud infrastructure using Terraform. You’ll collaborate with product and engineering teams to build scalable, secure, and cost-efficient systems while establishing best practices for automation, monitoring, security, and governance. This role offers high visibility, ownership, and the opportunity to shape the company’s DevOps strategy from the ground up. A bit about the work: * Lead the practice of container-based microservices and serverless applications (ECS, EC2, Lambda) using Terraform and other automation tools. * Build and manage CI/CD pipelines (CircleCI, GitHub Actions, Docker) to automate application, platform, and infrastructure deployments. * Monitor systems, implement alerts, troubleshoot issues, and optimize performance, scalability, and cost-efficiency. * Conduct security audits and ensure compliance with AWS best practices. * Enforce cloud governance policies, including IAM, resource tagging, and cost management. * Develop disaster recovery and business continuity plans for critical infrastructure. * Collaborate with stakeholders to assess requirements, recommend tools, and deliver scalable, reliable, and secure solutions. * Lead projects of moderate complexity and provide technical guidance, knowledge sharing, and mentorship across the company. A bit about you: * BS or higher in Computer Science or equivalent experience * 5+ years of relevant experience in cloud infrastructure, DevOps, or platform engineering * Strong experience setting up, maintaining, and automating CI/CD systems * Hands-on experience with Infrastructure as Code, particularly Terraform * Knowledgeable managing and customizing monitoring tools like Datadog and Sumo Logic, for creating dashboards, alerts, and metrics displays. * Fluency with source control (GitHub, GitLab, Git) and build systems (CircleCI, GitHub Actions, Docker). * Proficient with AWS: Redis, OpenSearch, Aurora PostgreSQL, Redshift, MongoDB, EC2, ECS. * Adept at scripting Python, Bash, Perl and automating infrastructure. * Proven ability to take ownership, lead projects, and influence engineering teams. Location: We have offices located in Sunnyvale, CA, San Francisco, CA, and Brooklyn, NY. While we offer fully remote and hybrid employment opportunities, our team strongly desires candidates to be available to work in the Bay Area or within the Pacific Time Zone (PST). Pay Equity: In compliance with Pay Transparency Laws, the base salary range for this role is between $150,000-200,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: * Health Care — 99% of premiums for medical, vision, dental are fully paid for by Cantina, plus One Medical membership. * Monthly Wellness Stipend — $500/month to use on whatever you’d like! * Rest and Recharge — 15 PTO days per year, 10 sick days, all Federal holidays, and 2 floating holidays. * 401(K) — Eligible to participate on day one of employment. * Parental Leave & Fertility Support * Competitive Salary & Equity * Lunch and snacks provided for in-office employees. * WFH equipment provided for full-time hybrid/remote employees.

Why Work for the Department of Technology (DT)? DT is the centralized technology services provider in the City and County of San Francisco (CCSF). We deliver technology infrastructure and services to approximately 33,000 employees! With an annual operating budget of over $140M and approximately 300 employees, DT provides a host of services that range from Public Safety radio and wiring and Network services to Enterprise Support and the Cloud. Benefits of Working for CCSF: In addition to challenging and rewarding work, the City provides a generous suite of benefits to its employees. • Competitive pay, as well as pension and robust retirement options., • Generous paid time off, family leave, and more!, • Hybrid Work with a minimum of 20% of time spent in our office in San Francisco, California for all IT related roles, • Diverse work environment in a diverse city CLOSING THE DIGITAL DIVIDE — bring the benefits of the internet to low-income and marginalized residents! SHINE A LIGHT ON WHAT MATTERS — join an award-winning production team at SFGovTV to help residents watch legislators or learn more about what makes this City great! DRIVE INNOVATION — deliver new, cutting-edge technology to residents and city partners to help San Francisco serve its residents! The City and County of San Francisco is seeking a talented and motivated Principal AI Engineer to join our Emerging Technologies team at the Department of Technology. As a Principal AI Engineer, you will play a crucial role in designing, developing, and implementing cutting-edge artificial intelligence solutions to enhance the efficiency and effectiveness of various city services. This position offers a unique opportunity to contribute to the public sector by leveraging AI technologies to solve real-world problems and improve the lives of San Francisco residents, workers, businesses, and visitors. Key Responsibilities: • AI Solution Development: Design, develop, and deploy AI models and algorithms to address various challenges faced by city departments, such as traffic management, public safety, healthcare, and public works. Identify opportunities and design solutions that show what’s possible with exemplary projects. This role will help set best practices and develop decision-making frameworks for the rest of the City on when to use AI., • Data Engineering: Collect, preprocess, and analyze large datasets from multiple sources to support AI initiatives. Ensure data integrity and security while adhering to privacy regulations., • Collaboration and Consultation: Work closely with cross-functional teams, including data scientists, software engineers, and domain experts to identify AI opportunities and implement solutions to build best practices and templates, and cultivate a community of AI developers and users in the City., • Prototyping and Experimentation: Rapidly prototype AI applications and conduct experiments to test hypotheses and validate model performance., • Continuous Improvement: Monitor, build an evaluation framework for generative AI, and evaluate the performance of AI systems in production. Implement improvements and updates as necessary to maintain high accuracy and efficiency., • Documentation and Reporting: Maintain comprehensive documentation of AI models, processes, and project progress. Prepare and present reports to stakeholders and senior management. This Permanent Exempt (PEX), Full Time position is excluded by the Charter from the competitive civil service examination process and shall serve at the discretion of the appointment officer. The anticipated duration of this project position is thirty-six (36) months and will not result in an eligible list or permanent civil service hiring. Work Location If hired, incumbent must be a resident of or relocate to the State of California within 4 weeks as a condition of employment. This position supports remote work. The incumbent may be permitted to work a hybrid schedule with their supervisor’s approval, after which they must work at least two days in the office every two weeks. Minimum Qualifications Education: An associate degree in computer science, computer engineering, information systems, or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in one of the fields above or a closely-related field]. Experience: Five (5) years of experience analyzing, installing, configuring, enhancing, and/or maintaining the components of an enterprise network. Substitution: Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/ forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in one of the fields above or a closely related field. Completion of the 1010 Information Systems Trainee Program may be substituted for the required degree. Desirable Qualifications Technical Skills: * Proficiency in programming languages such as Python, R, or Java. * Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy). * Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is desirable. Analytical Skills: Excellent problem-solving skills and the ability to analyze complex datasets to extract meaningful insights. Communication Skills: Strong verbal and written communication skills. Ability to convey technical concepts to non-technical stakeholders. Certifications: Relevant certifications in AI/ML or cloud computing. Public Sector Experience: Familiarity with government processes and experience working on public sector projects. Project Management: Experience with project management tools and methodologies. Team Player: Ability to work effectively in a collaborative team environment and manage multiple projects simultaneously. Compensation: $77.9250 - $98.0125 (hourly)/$162,084 - $203,866 (annually) How to Apply: • Applicants are encouraged to apply immediately as this recruitment may close at any time, but not before Monday, January 6, 2025. Late or incomplete submissions will not be considered. Mailed, hand delivered or faxed documents/applications will not be accepted. The City and County of San Francisco does not sponsor visas. If you have an F1 student visa, the City will not sponsor the “optional practical training” requirement. All applicants must be able to demonstrate that they are legally able to work in the United States without visa sponsorship by the employer Additional Information Regarding Employment with the City and County of San Francisco: All your information will be kept confidential according to EEO guidelines. The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

📐 About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. * Design and implement AI retrieval systems: Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. * Optimize performance: Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. * Collaborate with cross-functional teams: Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. * Code quality and best practices: Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. * Testing and validation: Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. * API development: Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. * Streaming and cancelable endpoints: Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. * Continuous improvement: Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. * Language fundamentals: Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. * Functions: Experienced in calling functions, using default and variable arguments, and writing lambda functions. * Virtual environments: Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. * File handling: Skilled in reading, writing, and manipulating files in Python. * Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. * Datamodels: Knowledgeable in designing and using data models to represent and manage data efficiently. * Context managers and logging best practices: Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. * Inheritance and method overriding: Experienced with object-oriented programming concepts, including inheritance and method overriding. * Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. * Code formatting: Adheres to code formatting standards using tools like black, isort, flake8, and pylint. * Testing: Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. * Versioning: Familiar with semantic versioning and maintaining changelogs to track changes and updates. * Data structures: Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. * Functional programming: Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. * Async programming: Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. * Threading vs multiprocessing: Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. * Memory and performance profiling: Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. * API development: Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. * Streaming responses and cancelable endpoints: Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. * Machine learning experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. * Natural Language Processing (NLP): Experience with NLP techniques and tools, such as spaCy or NLTK. * Distributed systems: Knowledge of distributed systems and experience with tools like Kubernetes or Docker. * Cloud services: Experience with cloud platforms like AWS, GCP, or Azure. * Open source contributions: Contributions to open-source projects or a strong portfolio of personal projects. 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you. 🦸🏻‍♀️ Your responsibilities * Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities * Evaluate the performance of AI models & systems through rigorous testing and experimentation. * Deploy LLM-based applications in production, evaluating and improving their performance over time * Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency. * Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities. * Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions. * Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems * Implement strong testing and CI/CD practices that help us move with confidence in our AI system development ⭐️ Is this you? * Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience * High level of coding proficiency using Python * 5+ years of professional experience in software engineering, AI/ML development including: * Proficiency with production software (Python) and systems design * Machine learning algorithms and model development techniques * ML lifecycle tools like MLflow, dvc, weights & biases * Cloud deployment of ML systems * Professional experience with LLMs and large-scale models * Very strong software engineering skillx with a track record of building scalable, distributed product machine learning systems * Strong analytical and problem-solving skills * Ability to communicate complex ideas and concepts effectively * Ability to work independently and collaboratively Preferred Skills: * Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc * Depth of knowledge with RAG implementation and improvements Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs when needed. * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * You have experience with AI and ML, with additional proficiency in Python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

📐 About this role We are looking for a Data Engineer to join our small but mighty Data team. This role presents an extremely rare and unique opportunity to influence the architecture and tools that power our data analytics and reporting capabilities. You’ll be at the intersection of engineering, product and data, leading the integration of our product, financial, and business systems. If you are passionate about data modeling and solving complex data problems, we want to hear from you! Tech stack Core tools: BigQuery, dbt, Fivetran, Hightouch, Segment, Amplitude, Omni Periphery tools: Salesforce, Hubspot, Gong, Vitally 🦸🏻‍♀️ Your responsibilities: * Data Workflows: Own, build, and maintain data pipelines, ETL/reverse-ETL processes and BigQuery environment. * Data Quality: Implement an orchestration tool. Design a suite of tests and validations to ensure data consistency, accuracy and integrity. * Data Modeling: Develop reliable and lasting data models, while optimizing for scale. * Documentation: Catalog and document all aspects of our data pipelines. Create the foundation for a data governance program. * Collaboration: Partner with product and engineering teams to deliver data solutions that align with downstream use cases. * Data Leadership: Establish data engineering best practices and serve as a subject matter expert on our data architecture, models and systems. ⭐️ Is this you? * 5+ years of hands-on experience in a data engineering role, ideally in a SaaS environment * Expert in SQL, dbt and Python * Advanced knowledge of data engineering tools, frameworks and languages (eg. Airflow, Airbyte, Kafka, github workflows) * Experience working with services in cloud environment (eg. AWS or GCP) * Care deeply about data quality, integrity and security * Thrive in ambiguity and can create paved roads from dirt paths * Bonus points if you have experience with product event/attribute tracking design and implementation AND * High intellectual curiosity and a proclivity to lean into a new subject matter * A trusted advisor and partner for all levels of the organization * Intrinsically motivated: you set the highest possible bar for what you build and ship * An eye for spotting an opportunity, intuition for determining which ones to prioritize, and courage to follow through * Possesses humility — no work is too trivial if it’s impactful * Resilient and open to honest (and kind) feedback; tough skin * Self-aware and committed to learning the why for both successes and failures * Proactive communication skills, both sync and async * Experience managing and building relationships across multiple departments and stakeholder levels * A natural affinity to our values of connect, challenge, own #LI-Hybrid 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role As a Customer AI Engineer at Writer, you'll play a critical role in developing and building complex prompts, applications, and agents to support our most important customers. You'll work closely with our Customer Success team both to determine how best to take the input data we receive from our customers and use it to produce first-rate content using our proprietary Palmyra family of models. You'll also ensure customer content aligns with their style and formatting requirements. Your expertise in Python, dataset curation, prompt design, and linguistics will be crucial to growing and maintaining Writer’s relationships with its customers. You'll initially report to our VP of Technical Delivery. 🦸🏻‍♀️ Your responsibilities: * Base Prompt Design and Iteration: Create and optimize base prompts that will be used to supercharge our customers’ content creation pipelines. * Linguistic Expertise: Utilize your understanding of linguistics to craft search patterns used to enforce customer formatting guidelines in their content. * Prompt Chain Design: Collaborate with the team to design, develop, and evaluate prompt chains for specific content creation tasks. * Technical scoping: Work with stakeholders in Customer Success and with our customers to scope projects and define best practices for using what you create. * Documentation: Maintain clear and comprehensive documentation of prompt engineering processes and outcomes and share innovative techniques with the team * Cross-functional Collaboration: Collaborate with engineering team members to integrate your prompt engineering work seamlessly into our product. ⭐️ Is this you? * Bachelor's degree or higher in Computer Science, Linguistics, or a related field * Solid coding proficiency using Python. * Professional experience in prompt design and a deep understanding of linguistic principles. * Expertise working with search patterns for morphology and word patterns. * Proven experience in designing, developing, and evaluating base prompts. * Knowledge of natural language processing and machine learning concepts is a plus. * Excellent communication and collaboration skills. * Problem-solving mindset and a passion for working on complex challenges. * Attention to detail and the ability to work independently and as part of a team. Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

About Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. About the Role The AI Research Team is seeking a highly motivated Data Scientist to join our growing team. In this role, you'll play a pivotal role in unlocking the power of data to optimize our platform, personalize teaching and learning experiences, and ultimately, improve student outcomes. Do you have a growth mindset, meticulous attention to detail, and an unwavering passion for excellence? We'd love to chat! \n You will: • Utilize a strong foundation in traditional data science techniques, ensuring the appropriate application of tools and methodologies, • Apply practical AI skills, including prompt engineering, RAG (retrieval augmentation generation), and fine-tuning, to enhance teaching or learning experiences; with a keen understanding of when to use each method, • Collaborate effectively with engineers, product managers, designers, educators, and curriculum experts to align data science initiatives with business goals, • Contribute to AI research, from experimentation through publishing findings You have: • 5+ years professional experience with product analytics for digital SaaS platforms, • Degree in Computer Science, Statistics, or a related field, PhD or PhD ABD preferred, • Proficiency in Python and comfortable with version control, • Strong practical AI skills, including experience with prompt engineering, RAG, and fine-tuning models, • Experience in the EdTech industry or a strong interest in improving K-12 education through technology, • Publications or contributions to AI research \n$130,000 - $180,000 a year\n Salary range is dependent on geography, past experience, seniority, and demonstrated role related ability during the interview process. What we offer Full time permanent employees are eligible for the following benefits: -Competitive salary -Meaningful equity -Health benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance -10 paid sick days per year -Unlimited vacation time policy (subject to internal approval). Average use 4 weeks off per year. -Paid family leave for eligible employees COVID Vaccination Policy Kiddom policy requires employees to be vaccinated before they visit an office or attend company events.. We have remote roles but in certain positions where office attendance is deemed to be essential to the role, offers of employment shall be conditional upon proof of vaccination.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role We are looking for a foundational member of the Cloud Infrastructure team at Writer. This role will involve contributing to the development and implementation of our Site Reliability Engineering (SRE) program. The ideal candidate will ensure the reliability, scalability, performance, and security of Writer’s critical systems, taking a proactive approach to guarantee that our high-ROI products reach our customers seamlessly. 🦸🏻‍♀️ Your responsibilities: * Lead the design, implementation, and maintenance of Writer, Inc.’s cloud infrastructure to ensure high availability and performance * Design and implement scalable cloud automation to support seamless deployment for our largest enterprise customers * Automate infrastructure provisioning and management using Terraform & Python * Collaborate with development teams to optimize cloud resources and enhance system reliability * Develop and maintain monitoring and alerting systems to proactively identify and resolve issues affecting the reliability of our writing solutions * Conduct post-mortem analyses of system failures to identify root causes and implement preventive measures * Optimize and scale our cloud infrastructure to support growing user demand and ensure cost efficiency * Ensure the security and compliance of our systems, adhering to industry standards and regulations * Provide mentorship and technical guidance to junior engineers, fostering a culture of reliability and continuous improvement * Stay current with emerging technologies and industry trends to continuously improve our site reliability practices ⭐ Is this you? * Proven expertise in Site Reliability Engineering with a minimum of 7 years of hands-on experience * Deep understanding of system architecture and infrastructure design to ensure high availability and performance * Bachelor’s degree in Computer Science, Engineering, or a related technical field * Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring * Experience with cloud platforms like AWS, Azure, or GCP, and their respective services for scalable and resilient systems * Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools * Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to maintain system health and performance * Ability to lead and mentor junior engineers in best practices for reliability and system optimization * Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders * Proactive approach to identifying and mitigating potential system failures and performance bottlenecks * Preferred Skills & Experience: * Software engineering expertise * Terraform * Python * Kubernetes * Scala * AWS/GCP Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

From the inception of a project through to completion and beyond, Turner & Townsend help to deliver the outcomes that matter through transformational projects covering the full spectrum of consultancy, project delivery and post-project operations. With offices located globally, you're never far away from our services. With over 22,000 specialists in more than 60 countries, we blend local knowledge with global insight to tackle challenges of any scale. Our team is dynamic, innovative and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result, our people get to enjoy working on some of the most exciting projects in the world. Turner & Townsend is seeking an experienced and highly skilled Data Analyst to join our dynamic San Francisco team. In this role, you will support a global technology client with data analytics and visualization for their real estate construction portfolio. This position requires strong analytical skills, expertise in data analysis tools, and the ability to effectively communicate complex information. Responsibilities: • Collaborate with internal teams and stakeholders to gather, process, and analyze data from various sources., • Work with internal teams and stakeholders to understand data needs and provide actionable insights to support construction project management and decision-making., • Develop and maintain data models, dashboards, and reports to present data insights to stakeholders and internal teams., • Perform benchmarking, trend identification, and growth forecasting., • Analyze project cost trends, detect potential issues, and identify ways to improve and streamline processes using software tools and automation., • Create and apply statistical models to predict project outcomes, identify trends, and optimize construction processes., • Ensure the accuracy and integrity of data by performing regular data quality checks and implementing data governance practices., • Identify opportunities for process improvements and recommend data-driven solutions to enhance project efficiency and effectiveness., • Provide training and support to end-users on new reports, dashboards, and data analysis tools., • Manage and mentor junior data analysts, providing guidance and support to enhance their skills and performance., • Construction experience is strongly preferred., • Expertise in SQL, Python, Tableau and Dashboard creation., • Ability to work in our San Francico office, or onsite in Cupertino, CA when required., • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field., • At least 5 years of demonstrated experience as a Data Analyst, preferably within the construction or engineering industry., • Expertise in using professional data analysis and visualization tools, along with proficiency in programming languages., • Strong analytical and problem-solving skills with the ability to interpret complex data sets and provide actionable insights., • Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders., • High level of attention to detail and accuracy in data analysis and reporting., • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously., • Experience with construction management software and systems., • Knowledge of industry-specific regulations and standards., • Certification in data analysis or related fields. The salary range for this full-time role is $110K-$150K per year. Ranges are determined by role and level and represent a good faith effort to provide a fair and equitable salary. This range is a reflection of base salary only, not of a total compensation package. Please note Turner & Townsend reserves the right to pay more or less than the posted range, depending on candidate’s experience and qualifications. Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at ___ Please find out more about us at #LI-MB1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

DoorDash is building the world’s most reliable on-demand logistics engine. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders each day, supporting business-critical use cases like Ads, Groceries, Logistics, Fraud, and Search. At DoorDash, the Frontend Engineer on the ML Infrastructure team builds intuitive, high-impact tools that accelerate machine learning across the company. You'll create user interfaces that support core ML workflows—like model training, experiment tracking, and Generative AI development—empowering teams working on Search, Recommendations, Fraud, Chatbots, and more. ML experience is not required—this is a perfect opportunity to learn AI/ML and Generative AI by working alongside top experts in the field. You must be located in San Francisco, Sunnyvale, or Seattle for this hybrid position. • Work at the intersection of engineering and AI by building tools that power machine learning across DoorDash., • Collaborate with top ML engineers and researchers, gaining hands-on exposure to cutting-edge AI workflows—no prior ML experience required. If you are keen to learn ML, the team is ready to help you!, • Own high-impact frontend systems that directly influence the speed, scale, and reliability of model development and deployment., • Solve complex UI/UX challenges in technical domains like model experimentation, data visualization, and ML observability., • Join a small, high-leverage team where your contributions shape the future of DoorDash’s ML platform., • 5+ years of experience building and maintaining production-grade frontend applications, • Proficiency in modern JavaScript/TypeScript and frontend frameworks, especially React, • Strong understanding of UI/UX principles and ability to build intuitive user interfaces, • Experience integrating with REST/gRPC APIs and a solid grasp of fullstack fundamentals, including backend interaction patterns and data flow, • Comfortable collaborating with backend, ML, and infrastructure teams to define and consume data endpoints in Python backend services., • Familiarity with GenAI coding tools like Cursor, • Familiarity with ML workflows, experiment tracking, or model management tools, • Background in building developer tools or internal platforms at scale, • Experience in cloud environments like AWS or GCP Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using ___ from August 21, 2023, through December 21, 2023, and resumed using ___ again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: ___ The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page ___. See below for paid time off details: • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year., • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $159,800 - $235,000 USD At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection.

About the Company: Our client is reinventing how companies manage freight audit and payment. Their mission is to unlock profit trapped in the supply chain by replacing inefficient workflows and legacy systems with domain-driven AI that automates complex back-office logistics tasks. Their intelligent platform helps large enterprises understand, control, and optimize transportation spend. Backed by J.P. Morgan, Founders Fund, Index Ventures, 8VC, and operators from Flexport, Uber, Meta, and Google, our client is growing fast with industry leaders like J.P. Morgan Chase, Great Dane, and Loadsmart already on board. With over $65M raised, Loop is positioned to disrupt one of the most complex markets on Earth. Roles and Responsibilities: As an AI Engineer, the selected candidate will be responsible for building and scaling Loop’s AI-driven infrastructure that powers everything from multimodal LLMs to document intelligence and audit agents. The team is tackling deeply technical challenges—from fine-tuning large models to building practical agent workflows—all with a strong bias toward shipping fast and delivering measurable business impact. Key responsibilities include: • Training, fine-tuning, and deploying multimodal LLMs for document parsing and understanding., • Integrating and orchestrating LLM APIs (e.g., OpenAI, Claude, Gemini) into production services., • Collaborating cross-functionally with product, engineering, and infrastructure teams to ship features that deliver AI-powered insights., • Improving reliability, scalability, and performance of inference engines for high-volume throughput., • Building agent-based systems for invoice auditing, data normalization, and workflow automation., • Scaling ML infrastructure (training and inference), improving fault tolerance, and enabling observability for deployed AI systems., • Writing production-grade backend code in Python and other relevant technologies. Example projects include: • Scaling their inference engine with batched real-time processing., • Reducing hallucinations in custom fine-tuned LLMs., • Developing agents that automate freight invoice validation and reconciliation. Job Requirements: • 1–2+ years of hands-on experience building applied AI/ML systems., • Strong understanding of deep learning frameworks (e.g., PyTorch, TensorFlow)., • Experience with LLM APIs, fine-tuning, prompt engineering, or building agentic workflows., • Solid programming skills (Python preferred) and engineering fundamentals., • Experience deploying ML to production (not just research or experimentation)., • Background working with cloud environments (AWS, GCP, or Azure)., • Bachelor’s degree in CS, AI, or related field from a top-tier institution. Bonus if the candidate has: • Experience with multimodal data (text + visual inputs)., • Exposure to workflow automation in enterprise or logistics settings., • Familiarity with vector databases, semantic search, or RLHF pipelines.

Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. We are looking for a strategic and hands-on Marketing Data Scientist to join our Growth team. You’ll partner closely with Performance marketing team to architect our measurement framework, optimize performance across full-funnel marketing, and enable smarter business decisions through data. This is a pivotal role for scaling Descript's marketing engine across both B2C product-led and B2B sales-led growth motions. You'll pioneer the use of AI-enhanced analytics tools that automate strategic decision-making processes and deliver predictive insights at scale. This role can be remote in the US or based in the SF Bay Area. • Develop channel specific CAC targets accounting for audience intent and funnel stage, • Iterate and improve attribution models, while navigating platform-reported limitations and first-party data availability, • Drive incrementality measurement, partnering with the performance marketing team to design and run in-house conversion lift experiments, • Design and build AI-powered tools that automate routine marketing analyses and surface actionable insights, • Own the creation and ongoing refinement of marketing dashboards, • Ensure clear, automated, and actionable reporting on acquisition, retention, and monetization, • Create models to score leads based on their likelihood to convert, helping sales and marketing teams prioritize high-value prospects, • Build models to forecast campaign performance and support monthly budget allocation, • Develop recommendation systems that leverage user behavior data to suggest optimal channel mix and budget allocation, • Collaborate with Marketing, Sales, Product, and Analytics Engineering to ensure data quality, interpretability, and usability., • Champion high standards for experimentation, measurement, and statistical rigor across the org., • Proactively identify trends, patterns, and opportunities through data to improve day-to-day operations and drive user acquisition, activation, and retention., • Extreme ownership and resourcefulness to get things done., • Deep understanding of ads platforms (Meta, Google, Microsoft), data enrichment, and reverse ETL process through a CDP such as Segment or Census., • Strong working knowledge of incrementality testing, randomized controlled experiments and quasi-experiments., • Experience with building in-house attribution models, • Proven success working with both product-led growth funnels and sales-led GTM motions., • Experience with AI tools and frameworks for marketing analytics and optimization, • Familiarity with LLMs and how they can be leveraged to enhance marketing insights, • Understanding of how to build and deploy AI-powered prediction models for user behavior and conversion, • Bachelor's or Master's degree in a relevant field (e.g. computer science, mathematics, statistics, etc)., • 5+ years of experience in a data scientist or related role., • Proficient in SQL and at least one programming language such as Python or R. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Data Scientist. While titles may not change, we are actively seeking a senior and above Data Scientist to join our team. The base salary range for this role is $144,000- $192,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above. Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a ___ and the backing of some of the world's greatest investors (___, ___, ___, ___). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. ___ are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

We are redefining how knowledge is shared. We are enabling anyone to transform their unique expertise into an interactive experience, a digital version of their mind: a dynamic reflection of their knowledge and perspective. This is a completely new medium of knowledge transfer designed to make human intelligence deeply engaging and infinitely scalable. Imagine a world where the collective wisdom of individuals isn’t locked away, but is instead a dynamic, ever-evolving resource anyone can engage with. We are building a future where human wisdom is abundant, learning is radically personalized, and individual brilliance scales effortlessly. 2,800 years ago individuals from across the Greek world and beyond, including kings, city-state leaders, and ordinary citizens, ___, seeking guidance on matters ranging from war and politics to personal affairs. And now people will come to Delphi again. Learn more about Delphi and this position by calling the CEO’s digital mind ___ Learn more about Delphi and this position by calling the CEO’s digital mind Our Supporters We are proud of the coalition that we’ve been able to build behind Delphi. * The best investors and angels you can find: backing from Sequoia, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde and the founders of Lyft, Zoom, Doordash, and more. * Incredible customers: we are a trusted and loved product by thousands of the world’s most brilliant minds. From Tony Robbins to Codie Sanchez, our customers reach tens of millions of people * High talent density: our team includes founders with successful exits and builders from Apple, Discord, Spotify, Substack and more, all focused on our mission. We've more than doubled our revenue, users, and Delphi interactions in the last 6 months—all organically through word of mouth. We plan to accelerate even further from here. Delphi is for those who want to be pushed to do their greatest work. We’re looking for those who don’t view their work as a job but rather, they want to shape the future of human connection and leave a lasting impact. This will work for you if: * You are ambitious – Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives. In a world of ___ we are in search of barrels. * You are obsessed – ___. It is hard. You know that and it excites you. We value people who want to be great. * You have a unique perspective, and tend to view the world positively – At the end of the day our product is a result of the collaboration of our team. We want people who are additive to culture. We value people who ask the question “What could go right?” Our backend stack is primarily built on top of Python, Postgresql, ECS, FastAPI, Lambda, Redis, S3. You will be in charge of owning and extending our infrastructure for the creation of Delphis & all conversations, as well as writing critical application code for certain pythonic backend services. * Strong experience with cloud infrastructure: * Strong understanding of networking and interest in it * E.g. If asked to explain how TLS or TCP works could you? * Strong experience with Python. * Strong experience with databases and caching. * Containerization experience * Experience and passion with designing and standing up extensible and scalable infrastructure. * IAM/Access Control configuration experience, CloudFormation/Terraform (IaC) * SQS/SNS Pub Sub * Do you nerd out about the Reactive Manifesto? * Strong Familiarity with security * Understanding of basic security principles such as least privilege * How to design and create systems that are inherently secure * Can you name a certificate authority off the top of your head? * High Expectations: We demand excellence. If you’re not comfortable with high standards, constant iteration, and direct feedback, this environment may not align with your working style. * In-Person Collaboration: We believe in-person collaboration drives better ideas. If you thrive in a remote-first environment, this may not be the best fit. * Ambiguity & Uncertainty: Many of our challenges don’t have obvious solutions. If you’re not comfortable navigating ambiguity or tackling problems without previous solutions this might not align with your working style. * Not a 9-to-5: We move fast, iterate often, and tackle ambitious challenges. This isn’t a clock-in/clock-out environment. * Excellent team: We have worked hard to put together some of the most ambitious, creative, smart people that we have met. They want to get to know you and work with you. * Equity: We are confident that this opportunity is massive, and we want you to share in the upside. * Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together. * Health, Dental, Vision: Comprehensive coverage to keep to take care of your health. * In-Person Office: Work from our beautiful office in Jackson Square, San Francisco. We believe that learning through osmosis, in-person, is the best way to learn. * Ascension: We’ll push you to do the greatest work of your life, with opportunities to grow both personally and professionally. If all of this piques your interest reach out to us with your resume or linkedin and share a little bit about * Who you are. * What you’re motivated by. * Which role and why you’re a good fit. No essays or AI-generated content, please. Authenticity is always the best.

At Instawork, our mission is to create meaningful economic opportunities for local businesses and skilled hourly professionals in communities around the world. We're building the leading AI-powered labor marketplace—and we're looking for exceptional talent to help us scale quickly and make an even greater impact. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re transforming the way the world works. We are seeking an innovative Senior / Staff ML Engineer to join our dynamic and growing team. Our goal is to create economic opportunity for businesses and local professionals globally. We believe AI and Machine Learning will be key factors across our products and company in accelerating our mission. What You'll Do: • Build/integrate new machine learning models into production using the necessary tools to monitor/administer them, • Collaborate with cross-functional teams to set and align on machine learning platform strategies to meet company objectives, • Deliver best-in-class technical approach and problem analysis documents, • Impact key company objectives by working closely with Product to refine our roadmap, • Build/maintain reports, dashboards, and metrics to monitor the performance of our products, • Mentor junior team members helping them to grow their skills and expertise, • Drive key architectural decisions and contribute to our ML platform architecture and strategy, • Act as a data evangelist to create a data-driven culture across the company and provide mentorship/feedback to analysts and other data-minded stakeholders Who You Are: • BS or MS in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field; PhD is a plus but not required, • 8+ years (Staff) / 5+ years (Senior) of experience in quantitative analysis, statistical modeling, and deploying ML solutions to production, • Strong command of advanced statistical techniques, including regression, hypothesis testing, and distributions, with practical experience applying them to real-world problems, • Deep understanding of machine learning algorithms, including decision trees, clustering, neural networks, and their trade-offs in production environments, • Hands-on experience with LLMs and generative AI (e.g., prompt engineering, Agent frameworks, fine-tuning, RAG, or LLMOps), • Proficient in Python and SQL, with experience in ML libraries such as PyTorch, TensorFlow, and XGBoost, • Familiar with data modeling and pipeline development using dbt, with the ability to design clean, scalable transformations that support downstream ML applications, • Working knowledge of modern data/ML infrastructure (e.g., Airflow, MLFlow, feature stores, vector databases, CI/CD for ML), • Strong communication and documentation skills with the ability to collaborate cross-functionally, • Experience mentoring or providing technical guidance to others is a plus For CA based applicants: • The base salary range for this position is $210,000 - $250,000, dependent on experience, • This position is eligible for equity in the form of stock options, • This position is eligible for Instawork benefits, including:, • A variety of medical, dental, and vision plans with coverage beginning on the date of hire, • Flexible paid time off, • At least 8 paid company holidays annually, • Home office stipend, • Phone stipend, • Commuter stipend, • Supplemental pay on qualified leaves, • Employee health savings accounts (HSA) contribution, • Flexible spending plans, • 401K plan, • Perkspot - discount program through Lumity A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above. About Instawork Founded in 2015,___ is the leading flexible work app for local, hourly professionals. Its digital marketplace connects thousands of businesses and more than five million workers, filling a critical role in local economies. Instawork has been featured on CBS News, the Wall Street Journal, The Washington Post, Associated Press, and more. In 2022, Instawork was ranked among the country’s top 10% of fastest-growing companies by Inc. 5000 and was included in the Forbes Next Billion Dollar Startup list. Instawork was also named the 2022 ACE Award recipient for “Best Innovation” and one of the “Best Business Apps” by Business Insider. Instawork helps businesses in the food & beverage, hospitality, and warehouse/logistics industries fill temporary and permanent job opportunities in more than 25 markets across the U.S. and Canada. At Instawork, we constantly evaluate how to build an optimal work environment for success. Currently we operate on a hybrid model, but we remain open to adapting our policies to meet the needs of our evolving business and team dynamics. As we continue to grow, we're seeking candidates who are excited about contributing to our in-person culture and open to the idea of working in-office up to 5 days a week. For more information visit ___For more information visit We value diversity on our team and firmly believe Instawork is stronger when we hire people who make their own unique contributions to our culture. We welcome all applicants and encourage candidates from underrepresented backgrounds to apply. To learn more about our company values, please visit: ___To learn more about our company values, please visit:

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The Data Platform team at Headway is a small but mighty team building our Snowflake data platform, data ingestion tooling, AWS infrastructure, CI/CD, and data developer experience to help Headway deliver best-in-class experience for our patients and therapists. As we scale, we're looking for an experienced Data Platform Engineer to help us design and build infrastructure to support the growth of our data engineering, data analyst and machine learning teams. You’ll work closely with our Data Analytics & Engineering teams, Product Engineering, and Machine Learning teams to support analytics needs as we grow in traffic, data, and scale. Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing. Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration. Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind. Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes. We’re looking for data-focused software engineers who have the ability to create clarity from ambiguity and build quickly and strategically in a fast-paced, high-growth environment. Below are some additional experiences we think help engineers succeed at Headway. Experience we’re seeking: • 6+ years of experience as a Data Platform Engineer, Software / Infrastructure Engineer specializing in Data, or Data Engineer in a high-code environment., • Building & maintaining a full-stack data platform including data warehousing, data ingestion & other data pipelines, orchestration, monitoring & alerting, CI/CD, developer tooling, cloud infrastructure, and third party integrations., • Understanding of data warehouse architecture patterns, performance tuning, and permissions management strategies across a variety of use cases on a MPP analytics database (Snowflake, Databricks, BigQuery, AWS RDS), • Service mindset - able to collaborate & communicate actively with stakeholders with varying levels of technical expertise to design best practice, easy-to-use solutions and build strong cross-functional relationships., • Designing & maintaining cloud infrastructure resources (AWS, GCP, Azure) with infrastructure-as-code frameworks (Terraform, Pulumi, AWS CDK, etc.), • Strong Python skills, good foundational knowledge of SQL, • Working with and maintaining data pipeline orchestration infrastructure (preferably Airflow/Astronomer), • Bonus points if you have experience with:, • APM tools like DataDog, New Relic, custom alerting/monitoring, data quality & observability tooling, • ETL/ELT best practices, • Data security & compliance practices especially with PHI (we are a healthcare company!) or in other regulated environments, • Greenfield development in a startup or other high-growth environment, • Docker, Github Actions, DBT, Spark, • Change the trajectory of a startup striving to redefine access to mental health in America, • Work on a highly collaborative, cross-functional engineering team in order to build the best products for therapists, patients, physician and payer partners, and/or your teammates at Headway, • Build and improve tooling to make engineering more streamlined and efficient, • Help establish and engrain best practices throughout our codebases, • Work in a fast-paced, iterative development process -- we release changes to our products multiple times per day!, • Contribute to our engineering culture, processes, and documentation with the same thought and care that we do our software (one of our engineering cultural principles is “Everything is a Product”) The expected base pay range for this position is $198,050 - $233,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. • Benefits offered include:, • Equity compensation, • Medical, Dental, and Vision coverage, • HSA / FSA, • 401K, • Work-from-Home Stipend, • Therapy Reimbursement, • 16-week parental leave for eligible employees, • Carrot Fertility annual reimbursement and membership, • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st, • Flexible PTO, • Employee Assistance Program (EAP), • Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway employees work remotely across the US, with the option to work from offices in New York City, San Francisco and Seattle. Headway participates in E-Verify. To learn more, click ___ Headway employees work remotely across the US, with the option to work from offices in New York City, San Francisco and Seattle. Headway participates in E-Verify. To learn more, click

Since 2012 Odaseva has helped global enterprises protect and secure their most valuable asset: data. Our platform and tools empower data-driven organizations to combat evolving threats, maintain operational integrity, and comply with data regulations. Our products include Backup and Restore, Archiving, Data Privacy solutions and much more. We’re a fast-growing scale-up with offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, Singapore, and more. We serve a global customer base including Fortune 500 companies, government organizations, and NGOs, reaching more than 100 million Salesforce users worldwide. At Odaseva, our values — Trust, Service, Commitment, Excellence, Kaizen, and One Team — define the environment we foster for our employees to thrive and succeed. Due to significant growth and to address the needs of our Technical Teams department, we are seeking a AWS Cloud DevOps Engineer. \n As a Cloud DevOps Engineer you will join the Infrastructure team, made up of 6 people, based in France and the United States and you'll play a pivotal role in bridging the gap between development, operations, and security. Also, you will work closely with our engineering teams to design, implement, and manage the infrastructure and tools that power our SaaS platform. You will report to the manager of the Infrastructure team and your responsibilities will include : • Cloud Infrastructure: Design, provision, and manage cloud resources on AWS and Azure, ensuring optimal performance, scalability, and cost-efficiency., • Security: Implement and maintain security best practices throughout our cloud infrastructure, protecting our data and applications from threats., • Automation: Develop and maintain GitLab CI/CD pipelines to automate the build, test, and deployment of our SaaS applications., • Monitoring & Observability: Implement robust monitoring and logging solutions to proactively identify and resolve issues, ensuring high availability., • Collaboration: Work closely with development, operations, and security teams to foster a culture of collaboration and continuous improvement., • Troubleshooting: Diagnose and resolve complex technical issues across our cloud infrastructure. Skills and Qualifications: • Education: A degree in Computer Science, Engineering, or a related field,, • Experience: 5+ years of experience in a DevOps or similar role, with a demonstrable depth of expertise in AWS,, • Automation: Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, and Ansible,, • Monitoring: Familiarity with monitoring and logging tools like Datadog,, • Scripting: Strong scripting skills in languages like Bash or Python,, • Database Knowledge: Familiarity with both relational databases and NoSQL solutions,, • Problem Solving: Excellent troubleshooting and problem-solving skills,, • Communication: Strong communication and collaboration skills. \n$50,000 - $500,000 a year\n More about Odaseva: Odaseva is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. For more informations and follow us: ___ and ___ For more informations and follow us: and

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

As an Applied AI Engineer at Mercor, you'll work at the intersection of machine learning research, product engineering, and customer success. You’ll be responsible for refining human datasets and transforming them into model-ready signals. You’ll also translate real-world insights into product and infrastructure features that meaningfully improve the platform. In addition, you’ll run tight feedback loops across the Ops and Engineering teams to ensure clients get the maximum value from Mercor by building tooling and prototypes. * Previous founding or startup experience * Fluency in React, Next.js, and Python * Experience designing schemas for SQL and NoSQL databases, Airflow or similar orchestration ETL tools * Experience deploying LLMs or other models in production, including evaluation pipelines * Experience with Systems Integration across recruitment systems, payments systems, CRMs and data warehouses * Attention to detail and eagerness to learn

Provable is looking for an experienced DevOps Engineer to scale our end-to-end stress-testing and benchmarking frameworks for the Aleo blockchain. You’ll partner with our protocol engineers to spin up adversarial testnets and codify attack-vector scenarios - from high-volume transaction storms to malicious clients and network partitions. Your work will ensure the Aleo blockchain remains secure, performant, and cost-efficient at the highest possible uptime. You’ll also provide some form of on-call support - in close agreement - swiftly resolving incidents and feeding lessons learned back into our test automation. Ideally, you are crypto-native, comfortable with distributed-systems testing, and passionate about building bulletproof infrastructure. * Stress-test development: Design, implement, and maintain end-to-end adversarial tests for snarkOS networks using Terraform and Ansible. Most of our software is written in Rust, and you’ll be able to get your hands dirty making it more reliable and performant. * Cloud Infrastructure Management: Oversee the provisioning, operation, and management of AWS or GCP cloud infrastructure. * Monitoring and Optimization: Deploy and tune Prometheus/Grafana and ELK stacks. Continuously identify performance bottlenecks and opportunities to reduce cloud spend. * Automation: Develop, maintain, and improve automation systems for test runs. * On-Call Support: Respond rapidly to incidents, troubleshoot test infrastructure failures, and restore service while minimizing downtime. * Continuous Improvement: Stay abreast of new features and technologies. Recommend and implement improvements to infrastructure and processes. * Collaboration: Work closely with other teams and colleagues, including protocol engineers and devops engineers, to ensure cohesiveness and reliability of services. * Bachelor's degree in Computer Science, Information Technology, or a related field. * A foundation in blockchain concepts and, ideally, experience contributing to or working on a blockchain project. * Experience managing AWS cloud infrastructure. * Experience in Ansible, Terraform, Python, Bash, Git, and GitHub workflows. * Experience in handling on-call responsibilities. * Experience with setting up and managing monitoring solutions. * Strong analytical and problem-solving skills, especially under pressure. * Ability to communicate complex technical ideas across teams. * Understanding of cloud security best practices and compliance requirements.

Since 2012 Odaseva has helped global enterprises protect and secure their most valuable asset: data. Our platform and tools empower data-driven organizations to combat evolving threats, maintain operational integrity, and comply with data regulations. Our products include Backup and Restore, Archiving, Data Privacy solutions and much more. We’re a fast-growing scale-up with offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, Singapore, and more. We serve a global customer base including Fortune 500 companies, government organizations, and NGOs, reaching more than 100 million Salesforce users worldwide. At Odaseva, our values — Trust, Service, Commitment, Excellence, Kaizen, and One Team — define the environment we foster for our employees to thrive and succeed. As a Cloud DevOps Engineer you will join the Infrastructure team, made up of 6 people, based in the United States and France. You will play a pivotal role in bridging the gap between development, operations, and security. Also, you will work closely with our engineering teams to design, implement, and manage the infrastructure and tools that power our SaaS platform. You will report to the manager of the Infrastructure team. \n Your responsibilities will include: • Cloud Infrastructure: Design, provision, and manage cloud resources on Azure and AWS, ensuring optimal performance, scalability, and cost-efficiency., • Security: Implement and maintain security best practices throughout our cloud infrastructure, protecting our data and applications from threats., • Automation: Develop and maintain GitLab CI/CD pipelines to automate the build, test, and deployment of our SaaS applications., • Monitoring & Observability: Implement robust monitoring and logging solutions to proactively identify and resolve issues, ensuring high availability., • Collaboration: Work closely with development, operations, and security teams to foster a culture of collaboration and continuous improvement., • Troubleshooting: Diagnose and resolve complex technical issues across our cloud infrastructure. Skills and Qualifications: • Experience: 5+ years of experience in a DevOps or similar role, with a demonstrable depth of expertise in Azure,, • Communication: Strong communication and collaboration skills,, • Automation: Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, and Ansible,, • Monitoring: Familiarity with monitoring and logging tools like Datadog,, • Linux: Solid command-line skills and experience with Linux system administration, including security hardening best practices,, • Networking: Solid understanding of networking fundamentals, including DNS, firewalls, and load balancing., • Containerization: Hands-on experience with Docker and containerization concepts, including building, managing, and troubleshooting containerized applications,, • Scripting: Strong scripting skills in languages like Bash or Python,, • Database Knowledge: Familiarity with both relational databases and NoSQL solutions. \n$50,000 - $500,000 a year\n Who We Are At Odaseva, we believe in fostering an inclusive, supportive work environment where talented people can innovate and grow. Our culture is built on being smart, humble, hardworking, and above all—collaborative. Our core values define who we are: Trust, Customer Centricity, Engagement, Excellence, Continuous Innovation, and Teamwork. Inclusive & Diverse – We champion equality and embrace diversity. Supportive & Collaborative – A team of smart, kind professionals who uplift each other through teamwork, not competition. Excellence with a Casual Touch – High professional standards in a relaxed, approachable work culture. Impact-Driven – A place where you can truly make a difference and advance your career. Innovators in Data & Cloud – Leading the way in cutting-edge technology and solutions. Competitive & Rewarding – Offering industry-leading compensation and benefits. Truly Global – With offices in Paris, San Francisco, Sydney, and London, and a worldwide presence. Flexible Work Environment – We support a hybrid, flexible office culture. At Odaseva, we are an Equal Employment Opportunity (EEO) employer. We consider all applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If this sounds like the right place for you, we encourage you to apply!

About the role At Publica, engineers have a unique opportunity to work on a platform that handles billions of requests per hour in one of the fastest growing areas in Ad Tech: Connected Television. Engineers at Publica work in an environment where trust and responsibility are given and engineers take projects from design to production across the full stack - from the frontend load balancers, servers running our platforms, data warehousing, developing ML solutions and user interface for clients. We are looking for a Fullstack Senior Software Engineer with experience in machine learning to be a part of our CTV product team. As a member of the engineering team, you will work towards specific outcomes with the freedom and responsibility to figure out the best way to achieve them together with the other engineers and product team members. You will primarily use Golang and Python to develop on our platform, and should be willing and able to learn and contribute across the stack. Engineers on our team tackle a variety of technical challenges that require them to continuously learn new technologies and techniques in collaboration with other engineers and product team members. Considered candidates must have: • 4+ years experience as a software/ML engineer, • Demonstrated experience in deploying machine learning models into production environments., • Experience with data preprocessing, feature engineering, and model evaluation techniques., • Fluency in python and industry recognized ML frameworks (scikit-learn, PyTorch, TensorFlow), • Authorization to work in the U.S. without requiring sponsorship now or in the future, • Willing to work in San Francisco (hybrid work schedule), we are not open to relocation, • Experience contributing to technical architecture discussions and helping drive technical decisions, • Excellent written and verbal communication skills, and experience explaining technical concepts and communicating clearly in cross-functional teams, • A positive attitude towards taking responsibility, learning new tools and technologies, and making immediate contributions to the product Bonus points for candidates with: • Experience with infrastructure and basic DevOps (we use Kubernetes, Terraform, AWS, Docker), • Experience building production-ready data pipelines that feed ML models, • Experience with real-time programming, concurrency and parallelism with a language like Golang, Java. What We Offer • A work culture focused on open communication between teammates, autonomy and a team that cares about teaching each other and improving each other’s work experience, • A true full-stack experience where engineers are not siloed into specific parts of the platform, • Unlimited PTO, • Full medical / dental/ vision benefits, • 16 weeks of paid parental leave, • Monthly wellness stipend California Applicants: The salary range for this position is $145- $160,000. Actual pay may vary based on experience. About Publica Publica by IAS is the leading Advertising Platform for Connected Television (CTV). As audiences shift from Cable TV to Digital, Publica’s goal is to power the next generation of ad experiences on the big screen. The core of our platform is an Over-the-top (OTT) bidding solution that enables content publishers to run a unified auction between their direct sales and 50+ video Sell Side Platforms (SSPs). In addition, we provide an Audience Management solution based on our integrations with LiveRamp, Transunion, Cadent, and others as well as a best-in-class Server-Side Ad Insertion solution. About Integral Ad Science Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit___ and ___ Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit and Equal Opportunity Employer: IAS is an equal opportunity employer, committed to our 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 strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. California Applicant Pre-Collection Notice We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at . To learn more about us, please visit___ and___ To learn more about us, please visit and Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to . We will get back to you if there's interest in a partnership. #LI-Hybrid

Our client, a world leader in diagnostics and life sciences, is looking for an "Image Data Scientist” based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Further Extension) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Job Description: The Translational Safety, Pathology team provides pre-clinical pathology assessments of risk. Within this group, the Digital Pathology team focuses on revolutionizing the analysis of digital histopathology slides by leveraging computational methods to enhance pathological evaluations traditionally performed solely by humans. Our objective is to integrate cutting-edge digital and computational techniques into pathology workflows and develop computational tools to support pathologist-driven identification and interpretation of findings. Contributing to the development and application of image-processing methods and pipelines using both conventional techniques and advanced techniques, such as machine learning and deep learning. The successful candidate should be proficient with commercially available image analysis software and able to perform basic statistical analyses and data visualizations. Ideally, the candidate will also contribute to the development and implementation of new AI-powered image analysis algorithms and should have programming expertise, particularly in Python. The role requires close collaboration with pathologists to design and execute image analysis workflows tailored to biological questions, as well as working with computational and data scientists across various departments. Skills: If interested, please send us your updated resume at /

Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions. Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors. The company has completed an initial public offering (IPO) in February of 2023. With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location. POSITION SUMMARY We are seeking a highly motivated Data Scientist with strong software engineering skills to join the Biometrics and Data Management group. This role will focus on advancing the current platform and developing novel and scalable data science tools to support evolving business needs. As a key contributor in a multidisciplinary environment, you will work closely with clinical scientists, biostatisticians, data managers, statistical programmers, and other stakeholders to design, implement and deploy robust data-driven solutions that accelerate decision-making and improve patient outcomes. In addition to modeling and analytics work, you will contribute to building production-grade tools and frameworks that extend the capabilities of the current internal platforms. • Preference is for local candidates, and we are moving to a 4-day work week/in the SSF QC office, • If remote, you will be required to work in SSF QC office one week a month ESSENTIAL DUTIES AND RESPONSIBILITIES • Collaborate with cross functional units to understand business needs and gather insights to support internal data science tool development., • Enhance the existing platforms by contributing to the development, validation, deployment, and ongoing maintenance., • Develop and validate data science tools for clinical research, and trial optimization., • Transform experimental analyses into robust, scalable and reuseable software components., • Ensure the scalability, maintainability, and reliability of analytical solutions through software engineering best practices (e.g., testing, documentation, CI/CD pipeline)., • Communicate technical results and insights to stakeholders through clear, structured presentations and documentation. REQUIREMENTS • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field., • Minimum of 10 years of Data Science experience with a Bachelor’s degree, 8 years with a Master’s, or 4 years with a Ph.D., including at least 3 years of hands-on experience developing production-grade software in programming languages such as Python or R., • Demonstrated understanding of software architecture, performance optimization and validation., • Strong expertise in Machine Learning and Deep Learning techniques (e.g., Scikit-learn, TensorFlow, or PyTorch)., • Familiar with data visualization tools such as ggplot2. Plotly, Matplotlib or Seaborn., • Strong analytical thinking and problem-solving skills., • Experienced with Github. Preferred Qualifications • Master’s or Ph.D degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field., • Experience with cloud-computing platforms (AWS, GCP, or Azure) and containerization (e.g., Docker)., • Experience with creating Large Language Models (LLMs) and GenAI based solution in production environment., • Experienced in designing and implementing CI/CD pipelines. The target salary range for this full-time role is $161,000 - $202,950 + bonus + equity + benefits. Structure Therapeutics determines salary ranges based on level and scope of responsibilities, as well as location. Individual pay is further determined by additional factors, including relevant experience, specific job skills, education and training. More details about the specific salary range for your location will be discussed with you during the hiring process by the StructureTx Talent Acquisition Team.

Diamond Foundry Inc. is solving the thermal limitation at the foundation of today's most exciting tech industries -- AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world's first single-crystal diamond wafers and are now on a mission to put a diamond behind every chip. We are the rare unicorn that has grown fast and profitably. We received $515m in funding and are executing a multi-$B expansion plan for one of the greenest forms of tech manufacturing: converting greenhouse gas into diamond wafers using zero-emission energy. We are looking for a detail-oriented, hands-on Data Scientist to strengthen and grow our data collection, analysis, and visualization capabilities, which we use to track financial performance, optimize e-commerce operations, and report on key business metrics. You will be collaborating with a team of finance, accounting, and e-commerce professionals, supporting and leading various data-driven initiatives to enhance decision-making, identify growth opportunities, and streamline operations. Your goal will be to maximize business impact by improving data ingestion and extraction techniques, standardizing reporting processes, and ensuring the accuracy and security of financial and operational data. A strong candidate will bring a subset of the listed skills/qualifications and a willingness to develop others. \n Responsibilities • Collaborate with Finance, Accounting, and e-commerce teams to validate business metrics, ensure data accuracy, and support reliable financial reporting, • Design, maintain, and automate reports to analyze performance against budgets, forecasts, and strategic plans, • Analyze large datasets to uncover trends, identify opportunities, and generate actionable insights to drive business decisions, • Optimize data infrastructure and workflows by introducing automation and leveraging new technologies, • Build and automate financial models to support planning, valuation, and forecasting, and present recommendations to stakeholders. Requirements • BA / BS in Accounting, Finance, Economics, or Statistics, with 3+ years of working experience in a data-focused role within finance, accounting, or eCommerce, • SQL expert with strong communication and data presentation skills, • Experience with financial planning and reporting, • Experience with data visualization tools like Looker, Tableau, PowerBI, etc, • Proficient in programming languages like Python \n$130,000 - $170,000 a yearThis position is eligible for company shares. Actual compensation may be higher or lower in the range based on various factors, including, but not limited to a candidate’s job duties, experience, and expertise. We will also consider higher-level candidates and salary will be adjusted accordingly.\n Diamond Foundry believes in supporting our employees from the workplace to their personal and home life. We provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Perks include employee discounts to VRAI. All benefits offered are available starting your first day. Diamond Foundry is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor under federal, state or local law. Diamond Foundry Inc. is committed to operating in full compliance with all applicable state and federal laws. Our commitment extends to ensuring that our manufacturing and engineering departments adhere to the highest standards of legal and regulatory compliance. Additionally, these departments may have specific physical requirements to ensure the safety and efficiency of our operations. We prioritize the well-being of our employees and strive to create a work environment that promotes both legal compliance and the optimal functioning of our manufacturing and engineering processes. Manufacturing and Engineering Departments Physical Requirements: -Use appropriate PPE and follow all safety policies, practices, and procedures. -This position will often: Sit, stand for long periods, walk, grasp, reach with hands and arms, lift below and above shoulders, bend, twist at the waist, climb, balance, stoop, squat, kneel, crawl, talk, hear, see, use fine finger manipulation, and complete repetitive motions. -Some tasks may require the use of ladders or stairs -Some tasks may require driving or the use of foot controls -Lift/carry and push/pull up to 50 pound This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

This role focuses on enabling custom models and dedicated inference on Together. We are responsible for optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices, • Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or general cloud provider is a very big plus, • Good taste and ability to thoughtfully discuss how what you’ve built has failed over time, • Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources, • Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale, • Expert-level programmer in one or more of Golang, Rust, Python, C++, or Haskell, • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, • Experience with Kubernetes or other container orchestration systems, • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience, • Writing-heavy roles or companies are a plus, • New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, light model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools., • Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure, • Partner with product teams to understand functional requirements and deliver solutions that meet business needs, • Write clear, well-tested, and maintainable software and IaC for both new and existing systems, • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance 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 and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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 ___

About GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit ___. Role OverviewGridware is creating cutting edge technology to increase hazard awareness on the electric distribution system. We are building the observability layer of a safer and more efficient grid.We are seeking an Machine Learning Engineer to lead the development of robust models and data pipelines for detecting and interpreting events from distributed sensors installed on electrical distribution infrastructure. You will support the full ML product lifecycle from model development and prototyping to building stable, fully supported, production systems for real-time event detection.You will collaborate with a diverse team of scientist and engineers to build the hardware, software, and the operational systems to deliver actionable information to utility operators. • Design, train, and deploy ML models for real-time and batch detection of events, anomalies, or faults from distributed sensor networks., • Build end-to-end data and ML pipelines for sensor ingestion, preprocessing, feature extraction, and model inference., • Collaborate with hardware teams, data engineers, and product managers to define ML system requirements., • Work with distributed streaming systems (e.g., Apache Kafka, Spark Structured Streaming) for real-time data processing and inference., • Develop tools and processes for continuous model evaluation, retraining, and performance monitoring (MLOps best practices)., • Lead the adoption of scalable frameworks for spatial-temporal and graph-based modeling of sensor systems., • Mentor junior engineers and participate in architecture and design reviews., • 5+ years of experience designing and deploying ML systems in production environments., • Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost)., • Strong background in time-series analysis, anomaly detection, or sensor fusion., • Experience with real-time or distributed data systems: Spark, Kafka, Flink, or similar., • Solid understanding of data engineering fundamentals, including ETL and batch/streaming processing., • Experience deploying models via REST APIs or frameworks like MLflow, TorchServe, or FastAPI., • Familiarity with cloud-native architectures (AWS, Azure, GCP) and containerization (Docker, Kubernetes)., • Experience with Graph Neural Networks (GNNs), spatial-temporal modeling, or edge ML., • Exposure to sensor networks in domains like energy, industrial IoT, transportation, or environmental monitoring.

Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. The Role As a Staff Software Engineer focusing on Data & AI/ML at Verse, you will drive the development and implementation of applications and pipelines across a diverse range of data sources including time series, text, and images. You will work closely with our Data Science team deploying energy forecasting and estimation models into production and create tools for structuring and organizing the data that feed these models. As an advanced technical leader in the Python ecosystem, teammates will look to you for best coding standards and conventions. Additionally, your skills will guide the progression of internal generative AI tools and the evolution of our Aria Assistant product. You will leverage frontier foundation models such as OpenAI GPT, Anthropic Claude, Google Gemini, and Meta's Llama to build solutions that enhance our capabilities. Key Responsibilities • Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders, • Read and write a lot of Python: implementing, maintaining, and promoting best practices and hygiene in our Python code repository for others to follow and emulate, • Develop, train, test, refine, and deploy forecast models in production, • Collaborate with our optimization and analytics team members to write shared libraries, design and implement robust solutions intended for high performance with large datasets and complex computations, • Ensure data quality and integrity throughout the data lifecycle, • Integrate internal and external user applications with frontier generative AI models, • Shape and guide the team’s AI/ML strategy with your technical input and execution, • Occasionally work alongside our platform and infrastructure engineers on various data flows and pipelines to support our product and internal operations What We're Looking For (Minimum Qualifications) • 8+ years of experience delivering production-quality software with increasing levels of ownership and technical leadership., • Fluent in Python and expertise with libraries like NumPy, Pandas, and scikit-learn, • Strong background in statistical analysis and computational mathematics with first principles knowledge of machine learning techniques, • Fundamental understanding of modern AI/ML technologies and their application in commercial environments., • Proficiency in working with large datasets and data processing (streaming and batch) solutions for analytical workloads, • Technical leadership and commitment to delivering high quality software on time or ahead of schedule, and adhering to best software development practices, • Discipline using generative AI tools in day-to-day work, • Note: We are open to Sr. Staff and Principal level for this role as well What Will Make You Standout (Preferred Qualifications) • Master’s degree or PhD in a related field, • Familiarity with cloud-native ecosystem, • Advanced experience developing and deploying applications built on frameworks such as PyTorch or TensorFlow, and proficiency working with natural language processing libraries like spaCy, NLTK, Polyglot, etc, • Practical knowledge of and hands on experience with model inference, training, retrieval augmented generation (RAG), and fine tuning (e.g. PEFT), • Understanding of application-specific architectures such as CUDA, GPUs, and TPUs, • Familiarity with forecast libraries such Google GraphCast, Nvidia CorrDiff, or Microsoft Aurora, and electricity market simulation tools (e.g. PLEXOS) are a big plus What Makes Verse a Great Place to Work? • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection, • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $160,000 - $250,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO, • Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a machine learning engineer as a part of the Data org, contributing to diverse, high-impact machine learning challenges. Specifically, you will focus on designing, building and deploying scalable ML solutions and systems. You will lead the efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models. If you're interested in building the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat! \n Responsibilities • Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services., • Experiment with cutting edge ML modeling techniques., • Work on both 0-1 stage problems as well as 1-10., • Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring., • Collaborate with teams across Plaid to define ML roadmap., • Dive deep into data and apply data driven decisions in day-to-day work., • A high ownership, bottom-up driven team. Qualifications • 5+ years in training and serving AI/ML models in a production environment., • Experience in building/working with data intensive backend applications in large distributed systems., • Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc., • Take pride in taking ownership and driving projects to business impact., • Data analytics and data engineering experience is a plus., • Experience with the industry application of NLP is a plus., • Experience with the FinTech industry is a plus., • Ability to work with technical and non-technical teams, • Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field. \n$203,040 - $303,480 a yearTarget base salary for this role is between $203,040 and $303,480 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.\n Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice ___.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. As part of the GTM Analytics team, you will provide data-driven insights that help shape GTM strategy across Sales and Customer Success. This role will be key in optimizing our customer success strategy by reshaping reporting and forecasting of retention metrics. Collaborating with GTM leadership, this position will help define strategic initiatives and rigorously track their efficacy. • Data Insights & Reporting: Oversee the development of analytical models and reporting tools that provide transparency into GTM performance, on strategic initiatives, and other aspects of our customer-facing motions., • Strategic Planning: Lead quarterly planning for retention and success, and align targets with Finance and Success., • Cross-Functional Collaboration: Partner closely with Sales, Success, and Finance to provide actionable insights, forecast performance, and evaluate market opportunities., • Operational Excellence: Drive business change by developing a keen understanding of the business and making data-driven recommendations., • Market Intelligence: Synthesize customer insights, market trends, and product usage data to inform GTM planning and innovation., • 5+ years of experience in analytics, GTM, or a related field, • Strong GTM knowledge and experience with Sales and Success functions., • Expertise in data analytics and business intelligence tools (e.g., SQL, Tableau, Looker, Python, R)., • Demonstrated ability to establish highly collaborative relationships with cross-functional teams across the GTM organization., • Strong strategic mindset, with a demonstrated ability to influence senior stakeholders through data-driven insights., • Excellent communication and storytelling skills, with the ability to present complex data in a clear, actionable manner. We are a well-treated bunch with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :) • Competitive salary and meaningful equity, • Comprehensive medical, dental, and vision coverage, • Regular compensation reviews - great work is rewarded!, • Flexible paid time off policy, • Paid Parental Leave Program, • 401k plan & match, • In-office bicycle storage, • Fun events for Intercomrades, friends, and family! *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $190,800 - $227,900. Actual pay will depend on a variety of factors such as education, skills, experience, location, etc. The pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our ___. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Is this role not quite what you're looking for? ___ to stay connected with us.

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. As a Deep Learning Performance Engineer at Genmo, you will play a critical role in optimizing the performance of our large generative AI models. Your expertise will ensure that our models run efficiently on clusters, leveraging advanced techniques and tools to enhance their performance. This role is perfect for someone with a deep understanding of deep learning performance bottlenecks, kernel optimization, and distributed training strategies. * Analyze and optimize the performance of massively parallel and distributed systems * Implement and fine-tune distributed training strategies for multi-GPU and multi-node environments * Implement high-performance CUDA, Triton, C++ and PyTorch code. * Profile model performance and identify bottlenecks using tools like NVIDIA NSight Systems, PyTorch Profiler, and TensorFlow Profiler * Develop and maintain benchmarking suites for continuous performance monitoring * Master's or PhD in Computer Science, Electrical Engineering, or a related field * 5+ years of experience in optimizing deep learning models, preferably in a production environment * Must have * Strong programming skills in Python and C++. Experience in training large models using Python & PyTorch and/or TensorFlow including their distributed training frameworks. * Proven track record of optimizing large-scale models (10B+ parameters) * Deep understanding of GPU architecture and CUDA programming * Experience in entire development pipeline from data processing, preparation & data loading to training and inference. * Experience optimizing and deploying inference workloads for throughput and latency across the stack (inputs, model inference, outputs, parallel processing etc.) * Demonstrated expertise in high-performance computing using NVIDIA Triton and CUDA * Demonstrated ability to significantly improve model inference and training speeds through low-level optimizations * Ideal candidates will have: * Knowledge of distributed inference systems for handling high-volume workloads * Strong background in linear algebra, optimization, and machine learning algorithms * Experience with generative AI models (GANs, Diffusion Models, Transformers) * Knowledge of hardware-aware neural architecture design * Experience with high-performance computing (HPC) environments * Contributions to relevant open source projects or research publications Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the ___ and the ___.

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability. Primary Location: United States (US) – CA - San Francisco Function: Technology Title: Senior Data Engineer - 2025037 Onsite/Remote: Onsite Position Your Responsibilities As a Senior Data Engineer for John Deere in San Francisco, CA, you will: • Write clean, well-tested code to enable ingest, storage, retrieval, and transformation of large scale geospatial data for analysis, research, and model development;, • Build and support production oriented high performance data pipelines that are efficient and reliable with robust monitoring;, • Contribute to the development of next-generation data structures and APIs that enable secure, performant, cost effective access to data scientists and engineers to identify and build needed infrastructure, tools and libraries to support machine learning algorithms., • Up to 10% domestic travel required. Must live within normal commuting distance of the worksite. Up to 50% remote work allowed. What Skills You Need • 5 years of experience in develop software systems and automation scripts using Python Programming language for data manipulation, governance and consistency across platforms, • 5 years of experience in developed and maintained scalable data pipelines using distributed database management system for processing large datasets, • 2 years of experience in design and implement Application Programming Interface for interaction with Machine Learning models, • 5 years of experience in develop interactive data visualizations to analyze large volumes of data, • 2 years of experience in deploy Machine Learning (ML) models developed by Data Scientists and ML Engineers for production usage with monitoring and reporting functionality, • 5 years of experience in implement automation of data extraction, transformation and load workflows using workflow management platforms such as Apache Airflow and Databricks Education/Experience • Bachelor’s degree in Computer Science or related field plus 5 years related experience. What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: • Flexible work arrangements, • Highly competitive base pay and performance bonuses, • Savings & Retirement benefits (401K and Defined Contribution), • Healthcare benefits with a generous company contribution in the Health Savings Account, • Adoption assistance, • Employee Assistance Programs, • Tuition assistance, • Fitness subsidies and on-site gyms at specific Deere locations, • Charitable contribution match, • Employee Purchase Plan & numerous discount programs for personal use $206,315 - $216,315 per year + Benefits Follow this link to learn more about our Total Rewards Package Please apply on-line at ___ and search for Job Posting Number 2025037 The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers. If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you. • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc, • Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda, • Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse, • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi, • Proficiency in version control practices and integrating IaC with CI/CD pipelines., • Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar, • Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript, • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience, • Experience with Kubernetes, or containers a plus, • Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily, • Analyze and improve the robustness and scalability of existing data processing infrastructure, • Partner with product teams to understand functional requirements and deliver solutions that meet business needs, • Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems, • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance, • Participate in an on-call rotation to address critical incidents when necessary 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 and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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 ___

About Krea: At Krea, we're dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We’re backed by Bain Capital Ventures, A16Z, Abstract Ventures, Pebblebed and many others. If you're passionate about pushing the boundaries of AI and empowering human creativity, we'd love to hear from you. We're looking for a Machine Learning Engineer to help us optimize the inference and training of our AI models. You will collaborate closely with our AI research and infrastructure teams to integrate optimizations seamlessly. Our culture: * We work full-time and in-person at our waterfront office in San Francisco. * We believe that demonstrated interest in the creative space is key: our team includes musicians, designers, visual artists and more. What you'll do: * Write custom CUDA Kernels to speed up multi-node inference on image and video models. * Work on various caching and dynamic compilation techniques to optimize the loading and unloading of the variety of AI models we serve at Krea. * Speed up and efficiency of training runs across our GPU clusters. We'd like you to have: * Proficiency in CUDA or parallel programming. * Python/C++ programming experience. * Experience in optimizing diffusion/transformer models for performance and scalability. * High agency and resourcefulness. What we offer: * Openness to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3) * Work alongside a world class developing the future of AI tooling * Significant impact on Krea’s market presence and growth * Competitive compensation (75% percentile of market rates) with significant equity upside

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios. The Application Window is expected to close on 9/15/25. However, the job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The Datastores team is focused on the platform’s critically important datastores (think ElasticSearch, Kafka, MongoDB, and MySQL). The team is responsible for all aspects of our platform’s datastores, such as availability, performance, change management, capacity planning, monitoring, and emergency response. Do you have a background in software or operations with experience in designing, analyzing, and troubleshooting large-scale datastores systems? As a Site Reliability Engineer, you will focus on handling the company’s core datastore services, maintaining a constantly growing infrastructure capable of processing meaningful incoming data daily. You will be collaborating with our application development teams to ensure the reliability and performance of our infrastructure. • Collaborate and work closely with the software engineers to ensure that the ThousandEyes platform datastores, infrastructure, and services are designed and optimized for availability, latency, and performance., • Shown experience building and supporting critical services focusing on automation, availability, and performance., • Design, implement, and maintain elastic and resilient datastores that support our growing platform on a multi-region scale., • Drive and build automation wherever possible, enabling our datastores to scale effortlessly. Think self-service., • Participate in and contribute to improving our 24/7 incident response and on-call rotation., • Ability to design and implement scalable and well-tested solutions, with a focus on datastores., • Be proficient in writing high-quality code in Python or Go., • Strong Infrastructure as Code skills, ideally with Terraform and Kubernetes., • Practical knowledge of cloud provider-led services (ideally AWS), and demonstrated in our context., • Solid grasp of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols., • Good communication and documentation skills., • Experience running highly performant and highly available MySQL, MongoDB, DynamoDB, or Apache Druid databases Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact. 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. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work. 152,500-219,200 USD Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have ___ to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

About Arcade: Arcade is the world’s first AI product marketplace, enabling anyone to design, purchase, and sell custom, manufacturable products with a simple text prompt. Co-founded by Mariam Naficy, Arcade brings together the power of generative AI with a global network of top artisans to turn user ideas into personalized, physical products. Arcade aims to redefine commerce by offering unprecedented personal choice, expression, and meaning in product creation. Arcade is incubated by Heretic Ventures and is backed by investors such as Offline Ventures, Sound Ventures, and Reid Hoffman This is a unique opportunity to contribute to a breakthrough company from the ground up while learning from successful repeat entrepreneurs and a stable of powerful and experienced mentors and advisors. Overview of Role: Arcade is seeking a highly skilled and innovative AI Research Engineer who will be creating and launching generative AI systems that solve difficult and novel tasks. This person will drive the development of cutting-edge artificial intelligence solutions. The ideal candidate is a researcher with previous experience taking a project from potential concepts to a deployable model, specializing in models that create images from multiple viewpoints, 3D meshes, or CAD-like structures. They will be a strong developer, capable of making and explaining a reusable pipeline for training and running models. \n Key Responsibilites: • Create and evaluate novel models for 3D applications, • Understand, implement, and improve existing models, • Maintain deterministic, repeatable and automatable training scripts, • Work with teams to deploy new models for inference, • Collaborate with cross-functional teams to create the right AI systems in order to meet product & business requirements, • Stay up-to-date with the latest advancements in AI technologies and research, and apply them to enhance the performance and capabilities of our ventures, • Communicate complex AI concepts and solutions effectively to both technical and non-technical stakeholders. Qualifications: • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • Research experience in generative AI, with a proven ability to take projects from concept to deployment., • Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and proficiency in Python., • Experience developing scalable, reusable pipelines for training, validating, and deploying AI models., • Familiarity with large-scale data handling and the ability to efficiently use data for training AI models., • Proven ability to work in a fast-paced startup environment, collaborating with multidisciplinary teams., • Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders alike. Preferred Qualifications: • Experience working with generative AI models that solve eCommerce-specific challenges such as recommendation systems, dynamic pricing, or personalized search., • Knowledge of cloud platforms (AWS, GCP, Azure) and experience with deploying AI models in cloud environments. Benefits: • Competitive salary, equity options, and comprehensive benefits package., • Opportunity to work on high-impact AI research projects that shape the future of eCommerce., • Hybrid work environment (4 days onsite at our sunny Presidio, SF office, 1 day remote). \n Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, starting with common research tasks like literature review. What we're aiming for: * Elicit radically increases the amount of good reasoning in the world. * For experts, Elicit pushes the frontier forward. * For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit. * Elicit is a scalable ML system based on human-understandable task decompositions, with ___. This expands our collective understanding of safe AGI architectures. Visit our ___to learn more about how Elicit is helping researchers and making progress on our mission. AI engineering is a new category of technical work. Its emergence is linked to the increasing availability of powerful new artificial intelligence tools: notably generative machine learning systems like large language models. The term was suggested by ___ and we've written about it on our blog before. Elicit predicted the rise of powerful ML systems even before GPT-1 was trained, and has the deepest experience of building trustworthy, capable, and transparent applications using these tools. If you're a software engineer who relishes the more difficult parts of backend code—like concurrency, fault-tolerance, and distributed systems—you could be a great AI engineer. Since launching the newest version of Elicit last fall, response has been strong. We introduced Elicit Plus, our monthly subscription plan, and added thousands of paying users in a matter of months as well as hundreds of thousands of new sign-ups. This has been energizing for our team, but we want to ship more useful functionality to our users even faster. We believe that building great AI-powered products requires excellence across multiple parts of the tech stack: from frontend UX to infrastructure. But one of the crux areas is certainly how we prompt, invoke, respond to, and manage the suite of different ML models required to make Elicit work. This is what an AI engineer will be responsible for at Elicit. * Backend: Node and Python. * Frontend: Next.js and TypeScript (we expect you to be 80+% focussed on backend work, however). * We like static type checking in Python and TypeScript * All infrastructure runs in Kubernetes across a couple of clouds * We use GitHub for code reviews and CI Consider the questions: * What's the difference between anyio, trio, and asyncio? * What does the await keyword do in JavaScript? * What is a Kubernetes pod, and how is it different from a container? * How would you manage state when using an LLM to power a conversation? If you have a solid answer for these—without reference to documentation—then we should chat! We have a lovely office in Oakland, CA, but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend 1 week out of every 6 with teammates. * We have a quarterly team retreat, normally in and around the SF bay area. * We have quarterly co-working weeks (offset from the team retreats) in our Oakland office. * If you come to the retreats and co-working weeks, you'll meet our expectations for in-person time! * There is flexibility around the specifics here: if you're not sure you can make this work, get in touch. * Backend implementation of our "living document" * We believe that user interactions with language models should be much deeper than yet more chatbot interfaces. * We wrote about our ___ approach which is one way in which users can have much richer LLM-powered product experiences. * You would work on, curate, extend, and improve the backend part of that technology. This is fascinating and challenging distributed systems work. * Building Elicit into a product researchers can’t live without * We ship useful, exciting features out to users on a weekly basis. Your focus will be on the code which exists between the BFF endpoints and the ML models we use. * You will work on a mix of known features / fixes, prototypes to validate ideas, and exploratory projects in between. * Our team is small, so we expect you to appreciate the user needs underlying everything you work on. You should be comfortable making decisions and trade-offs that help us fulfill users’ needs best. * Keeping Elicit’s bar for quality high * You’ll balance shipping features in the short term with building extensible and maintainable systems. * You will be responsible for your features in production: they need to be scalable, resilient, and easy to operate. * You’ll contribute to discussions around system design, performance evaluation, and architecture. * Start building foundational context * Get to know your team, our stack, and the product roadmap. * You’ll get to know our company documentation and other supporting resources like ___. * Make your first contribution to Elicit * By the end of your first week, you’ll have completed your first Linear issue, have a PR merged into our monorepo, gained understanding of our CI/CD pipeline, and learned about our monitoring and logging tools. * You’ll complete your first multi-issue project * As you learn the ropes, you’re able to tackle more impactful projects, with input from domain experts where you need it. * You’re actively improving the team * You’ll have gotten into the swing of contributing to regular team meetings and hack days, and you’ve demoed something you’ve worked on during a team sync. * You’ve added some documentation, how-to guides, diagrams, or other resources meant to help us and new hires in the future. * You’ve suggested an improvement to our development process. * You’re flying solo * With the context you’ve gained, you’re able to implement changes independently and you’re comfortable making big, impactful decisions in the course of your work. * You’ve developed an area of expertise * Our engineering team is just a few people, so each person quickly becomes a go-to resource in some area of the tech. Within your first quarter, we expect that there’s a part of Elicit you’ll become the domain expert for that others reach out to for support when working in this area. * You actively research and improve the product * By the end of your first quarter, you’ll have gotten to know Elicit and our users well. We expect that you’ll have thought about and scoped some user-facing improvements to the product as well as identified technical improvements to implement. * Strong technical aptitude that allows you to move comfortably around our back-end tech stack, with strong computer science fundamentals. * A genuine curiosity and enthusiasm for the capabilities of language models. * A defensive, fault-first mindset. * Above-average communication skills. Elicit is a small, highly-collaborative team, so you’ll frequently be tapped to communicate complex engineering topics with stakeholders across the company. * A sense of joy in what you do. One thing we love about our team at Elicit is that everybody’s a craftsperson who cares deeply about their field. This role will report directly to ___, our Head of Engineering, and work very closely with the rest of the engineering team: * ___ (AI engineer, full-stack) * ___ (AI engineer, infra) * ___ (ML Engineer) You'll also spend a lot of time collaborating with ___ (Head of Product), and co-founders ___ & ___. In addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location): * Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking events * Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family * Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays * 401K with a 6% employer match * $2,000 device budget to start, with more accumulating for each month of work * $500 / year personal development budget * A team administrative assistant who can help you with personal and work tasks * You can find more reasons to work with us ___! For all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. * This role starts between $195-230K + equity, depending on your level. We're optimizing for a hire who can contribute at a L4/senior-level or above.

As a Principal Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. • Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis., • Optimize data infrastructure and processes to ensure optimal performance and scalability., • Develop and maintain data documentation and data lineage., • Stay current with emerging technologies and industry trends related to data engineering., • 7+ years of experience in data engineering., • Extensive experience in the design, build, and maintenance of data ETL pipelines., • Extensive knowledge of coding in Python or Scala with a focus on data processing., • Experience using Apache Spark (PySpark or Scala)., • Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.)., • Experience with data and entity relationship modeling to support data warehouses and analytics solutions., • Deep understanding of relational and non-relational databases (SQL/NOSQL)., • Comfortable working with unstructured and semi-structured data (Web scraping)., • Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean)., • Basic data privacy and security principles., • Interest and/or experience in AI/ML applications, including support for model development or deployment workflows., • Proactive mindset around exploring emerging technologies in AI and data science to drive innovation., • Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC., • Experience with Delta Lake and/or Databricks., • Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation., • Experience with machine learning workflows and data requirements for use with ML frameworks., • Experience validating data quality, preferably with test automation.

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. About the RoleGoodLeap is building AI agents to empower professionals in the trades industries and homeowners to adopt sustainable solutions. As a Principal Software Engineer – AI Agents, you will play a critical and strategic role in shaping our next generation of intelligent, conversational, and task-driven products.This is a hands-on technical leadership role—you will architect, build, and deliver production-grade AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. You will work closely with product, design, and other engineering teams to ensure our AI solutions are reliable, scalable, and truly impactful for our customers.We are looking for someone who thrives in environments where deep technical expertise, strategic thinking, and execution excellence intersect. • Lead the design, architecture, and development of AI agent platforms and tools, including multi-modal interactions, multi-agent orchestration, memory systems, long running tasks, and other agentic AI fundamentals., • Set technical direction for AI-powered systems, balancing near-term delivery with long-term scalability and maintainability., • Partner with cross-functional leaders to identify high-impact opportunities for AI agent integration across products and workflows., • Build backend services and APIs (primarily in Python with FastAPI) to support agent orchestration, memory, and secure tool access., • Develop and integrate vector databases, embeddings, and semantic search capabilities to enhance agent intelligence., • Drive technical excellence in system performance, reliability, observability, and security., • Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship., • Conduct hands-on prototyping and R&D to explore new AI capabilities and frameworks, validating technical feasibility and product fit., • 5+ years of professional software engineering experience, including designing and delivering production systems at scale., • 1+ years of experience working with LLMs or building and deploying machine learning models., • Proven technical leadership in driving architecture, guiding teams, and delivering complex projects end-to-end., • Strong backend development experience in Python (FastAPI strongly preferred)., • Experience integrating with LLM APIs (e.g., OpenAI, Claude, AWS Bedrock, Vertex AI), vector databases, and RAG pipelines., • Familiarity with MCP and multi-agent frameworks., • Deep understanding of system design, distributed systems, and architectural trade-offs., • Excellent communication skills, able to convey complex technical ideas to diverse stakeholders., • Experience building production AI agents or agent frameworks., • Familiarity with AWS services for scalable backend deployment, • Experience with AI observability, MLOps, and CI/CD for AI pipelines., • Collaborative and mentoring mindset, helping others level up technically., • Strong problem-solving ability—able to break down complexity into actionable steps.

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 and engineers in our journey in building the next generation AI infrastructure. We are hiring a talented Senior DevOps Engineer to develop the software and processes for orchestration of AI workloads over large fleets of distributed GPU hardware. In this role, you'll be part of a cloud engineering organization that aims to automate everything and build failure-resistant and horizontally scalable cloud infrastructure for GPU-resident applications. As a Senior DevOps Engineer, you'll build deep understanding of Together AI’s services and use that knowledge to optimize and evolve our infrastructure's reliability, availability, serviceability, and profitability. The best applicants for this role are deeply technical, enthusiastic, great collaborators, and intrinsically motivated to deliver high quality infrastructure. You have experience practicing infrastructure-as-code, including the use of tools like Terraform and Ansible. You also have strong software development fundamentals, systems knowledge, troubleshooting abilities, and a deep sense of responsibility. Requirements • Minimum of 5 years of prior relevant experience in DevOps, cloud computing, data center operations and Linux systems administration, • Experience in programming in at least one of the following languages: Go, Python, Java, and C++, • Experience designing and building advanced CI/CD pipeline frameworks, • Experience with cloud computing toolsets like Terraform, Vault, and Packer, • Experience with configuration management tools like Ansible, Pulumi, Chef and Puppet, • Experience with Kubernetes and containerization, • Strong sense of ownership and desire to build great tools for others Responsibilities • Introduce tools to facilitate greater automation and operability of services, • Design, build, and maintain CI/CD infrastructure, • Architect, deploy, and scale observability infrastructure, • Create runtime tools/processes that optimize cloud triaging and limit downtime, • Define best practices to make our systems and services measurable, • Work closely with internal teams to ensure best practices are appropriately applied, • Build tools to help engineering and research teams measure and improve their velocity, • Analyze and decompose complex software systems, • Collaborate with and influence others to improve the overall design 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 competitive benefits. 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 ___

Founding Applied ML Engineer Audio & Speech Location: San Francisco (strongly preferred) or New York City Position Type: Full-Time (Permanent) Start Timeline: ASAP Hiring Target: 2 About A fast-scaling early-stage startup is building the worlds most advanced audio dataset infrastructure global, studio-grade, and optimized for ML training. The team is leveraging audio to bridge digital and real-world AI applications, with early traction from major tech labs and customers. Why join Founding team role with high ownership and early equity Lead ML architecture for cutting-edge speech models Fast-paced ML environment (75% engineering / 25% research) Significant impact across research, infra, and production deployment Paid meals, strong benefits, and 401(k) access Compensation • Base Salary: $200,000 $250,000, • Equity: Competitive (~0.5%), • Relocation: Required (must be onsite 5 days/week in SF or NY), • Visa Sponsorship: Available, • Tech environment, • Languages: Python, • Frameworks: PyTorch, • Cloud: AWS or GCP Responsibilities • Develop cutting-edge ML models for audio and speech, • Implement inference systems and production-ready APIs, • Architect durable pipelines and evaluations, • Translate research into high-performance code, • 5+ years in ML, including 2+ years in audio/speech (DSP/ML), • Demonstrated ownership of ML systems from POC to production, • Proficient in Python and PyTorch, • Experience with cloud-based ML development (AWS or GCP), • Prior software engineering experience (~1 year min before ML), • Ability to connect model quality to user experience and business value, • Graduate degree (MS or PhD), esp. from top schools like Stanford, MIT, • Stanford Music/Audio Tech program experience, • Led ML teams or drove roadmap direction, • Experience training generative AI models, • Speech research background, • Experience with classical DSP and ML-based audio processing

Handshake is seeking a Staff Data Scientist, Product Analytics to lead how we measure and grow the impact of our products across students, employers, and university partners. You’ll partner with product, engineering, and analytics leaders to deliver strategic insights, architect experimentation frameworks, and shape key product and growth decisions. • Define and track critical business and product metrics with product and engineering leaders, • Lead analytics workstreams to uncover trends and drive product innovation, • Design and analyze experiments to guide strategic product development, • Build and scale dashboards and reporting systems for data-driven decisions, • Mentor and provide technical guidance to other data scientists and analysts, • 8+ years in data science, analytics, or a related quantitative field, • Proven success using data to shape product strategy and drive impact, • Advanced proficiency in SQL and Python or R, • Deep expertise in experimental design and A/B testing, • Strong communication skills for technical and executive audiences, • Experience with dbt or similar data modeling frameworks, • Leadership in developing data-informed product strategies, • Contributions to the data science or analytics community, • Experience in multi-sided marketplace or platform environments, • Familiarity with BI tools such as Looker, Hex, or Mode Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been. When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin. At Handshake, we'll give you the tools to feel healthy, happy and secure. Benefits below apply to US employees in full-time positions. * 💰 Equity and ownership in a fast-growing company. * 🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents. * 💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support. * 📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career. * 💰 Financial coaching through Origin to help you through your financial journey. * 🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work. * 🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees). * 🥗 Free lunch provided 3x a week across all offices. * 🤝 Referral bonus to reward you when you bring great talent to Handshake. * 🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year. * 🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off. * 💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home. * 🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming! * 💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more. Looking for more? Explore our mission, values and comprehensive US benefits at ______ Looking for more? Explore our mission, values and comprehensive US benefits at Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we use data, AI, and machine learning to constantly iterate and innovate our product offering to create more value for the ecosystem. Faire is searching for a top-notch senior engineer to lead design and execution as we continue to build our AI platform that will power our wholesale marketplace. This role will architect and build scalable, reliable systems to enable seamless software driven AI and machine learning deployment to improve Faire’s core metrics. What You’ll Do: • Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to), • “Machine-Learning-as-a-service”, • ML Model Training framework, • Feature store, including batch and real-time feature computation, serving, and monitoring, • Deep learning infrastructure that powers training and serving of Faire’s language and image models, • Model prediction services to manage model deployment, inference and monitoring, • AI Agent platform, • Partner with our internal customers to understand their AI/ML development pain points and craft platform solutions to address them, • Provide technical mentorship to AI/ML engineers and interns on the team What it takes: • 3+ years experience building production AI/machine learning systems or platform components such as feature store, model training framework, ML prediction service etc, • Degree in a relevant discipline such as Computer Science, Machine Learning, or another similar field, • Strong coding skills in Python/Java or equivalent, • Experience working within common backend system architectures (e.g. microservices), • Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation Salary Range: California: the pay range for this role is $192,000 to $264,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Effective January 2025, Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire • We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process., • We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners., • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy., • We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our___. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our ___ ()

• Innovate vision and control systems: Design and implement machine-learning pipelines for perception and control—applying modern pre-trained models and fine-tuning for robotics., • Advance sim-to-real transfer, • Integrate ML with control loops: Build feedback-aware perception modules that work within real-time control and embedded pipelines., • Optimize for edge compute: Develop models and algorithms optimized for deployment on constrained hardware (robot SOCs, embedded GPUs)., • Deep hardware engagement: Interface ML pipelines in senor–actor loops; responsible for lab setup, characterization, and performance tuning., • Collaborate on system design: Work cross-functionally—safety, perception, and motion planning teams—to architect control strategies for high-DoF robots., • Publish, mentor, learn: Contribute to technical documentation, present findings internally, and guide junior engineers., • Strong ML background: Proven experience with modern ML architectures—LVMs, transformers, reinforcement learning, CNNs, …; hands-on work with pre-trained models and fine-tuning for real-world applications., • Simulation & robotics stack: Deep familiarity with ROS 2, Isaac Sim, MuJoCo; able to orchestrate end-to-end pipelines., • Python + frameworks: Expert-level Python; hands-on experience with PyTorch, JAX, plus proficiency in C++/embedded languages., • Sim-to-real expertise: Demonstrated ability to bridge simulated prototypes to real-world systems., • Hardware-first mindset: Experience integrating ML models with sensors, cameras, motors, and embedded compute; comfortable tweaking hardware and firmware., • Edge deployment skills: Experience optimizing models and deploying on edge devices., • Educational & experiential basis: MSc or PhD in Robotics, Computer Science, Controls, or equivalent. 5+ years in robotics/ML, with at least 3 years in vision/control applications., • Experience with active perception and vision–guided manipulation pipelines., • Background in realtime operating systems (RTOS) or embedded Linux., • Publications or open-source contributions in robotics or ML., • Familiarity with multi-agent or human-robot interaction systems. Benefits We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. The annual compensation is expected to be between $100,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location.

As a Forward Deployed AI Engineer at Vultron, you'll be a hands-on AI leader working shoulder-to-shoulder with customers. You will own implementation, and deployment of end-to-end AI-powered products. Your work will go beyond prototypes—you will ship production-grade systems that help reshape how government and defense ecosystems operate. You’ll act like a startup CTO within our customer engagements: identifying real-world problems, architecting full-stack AI solutions, and working across product, infrastructure, and operations to deliver. * Architect, implement, and deploy LLM-based workflows that operate at production scale. * Work closely with partners (from Fortune 500s to federal agencies) to define AI strategy and rapidly ship impactful solutions. * Write scalable code and own deployed systems—monitor, debug, and iterate in real-world environments. * Contribute field learnings to Vultron's core platform to inform product development and improve capability reuse. * Plan and lead technical work across AI, MLOps, data processing, and UI integration. * Build integrations into customer and partner ecosystems to enable seamless delivery and adoption. * 6+ years of engineering experience with proficiency in Python, JavaScript/TypeScript, or similar languages. * Deep understanding of the GenAI landscape, including experience with LLMs (e.g., RAG, prompt engineering, fine-tuning). * Strong foundation in Machine Learning principles: training, evaluation, and system design. * Experience building real-world applications that process and reason over large, complex datasets. * Proficiency with front-end frameworks such as React. * Strong systems thinking and the ability to work across infrastructure, AI, and UI layers. * U.S. Citizen eligible for Secret security clearance. * Background in Computer Science, Physics, Mathematics, or related technical field. * Experience with physical systems, motion planning, or multi-agent autonomy. * Familiarity with behavior trees, modeling and simulation (M&S), and safety-critical software. * Understanding of distributed communication systems and real-time architectures. * Experience working with or for defense or intelligence communities; familiarity with military operational concepts.