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About the Role Together AI is hiring a Lead Cloud Infrastructure Engineer to own and operate the cloud foundation that powers our rapidly scaling data platforms. In this role, you will be the primary engineer responsible for defining, building, and maintaining the AWS infrastructure that underpins data engineering systems across the company — from internal analytics pipelines to customer-facing metering and billing systems. You will work closely with multiple data engineering teams, enabling them to move faster by building reliable, secure-by-default infrastructure they can depend on. You’ll partner with our dedicated security engineering team to ensure best practices around IAM, network design, and data lake access — while focusing on platform reliability, scalability, and developer experience. This is a high-ownership, hands-on engineering role. You’ll manage everything from Terraform modules and CI/CD pipelines to Lake Formation permissions and observability tools — with a mandate to build infrastructure that just works, and keeps working. Responsibilities • Own the design, implementation, and operation of all AWS-based infrastructure supporting data systems, • Build and maintain reproducible, well-documented Terraform infrastructure modules, • Collaborate with multiple data engineering teams to understand and support their infrastructure needs, • Implement and maintain IAM policies and Lake Formation permissions in partnership with the security engineering team, • Build internal tooling and automation to support self-service infra provisioning, • Monitor infrastructure health and cost, and drive continuous improvements in reliability and efficiency, • Serve as the point person for infrastructure questions, issues, and requests across the company’s data platforms Requirements • 5+ years of experience in infrastructure, SRE, or DevOps roles, • Deep experience with Terraform and AWS infrastructure design, including VPCs, IAM, S3, EC2, etc., • Experience with access control and permissions in AWS, including Lake Formation or similar, • Experience supporting data infrastructure or working alongside data engineering teams (Kafka/Kinesis/ClickHouse a plus), • Familiarity with CI/CD for infrastructure (GitHub Actions, TeamCity, ArgoCD, etc.), • Proficiency in scripting or programming (Python, Go, or Bash preferred), • Comfortable working autonomously and supporting multiple stakeholders, • Bonus: experience with Kubernetes, hybrid cloud/on-prem infrastructure, or cost optimization at scale 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. 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 - $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. 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 ___

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. • Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem, • Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications, • Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems, • Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards, • Implement automated testing, deployment, and rollback systems for ML models in production safety applications, • Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs, • Contribute to the development of internal tools and frameworks that accelerate safety research and deployment, • Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment, • Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX, • Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes), • Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads, • Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems), • Are results-oriented, with a bias towards reliability and impact in safety-critical systems, • Enjoy collaborating with researchers and translating cutting-edge research into production systems, • Care deeply about AI safety and the societal impacts of your work, • Working with large language models and modern transformer architectures, • Implementing A/B testing frameworks and experimentation infrastructure for ML systems, • Developing monitoring and alerting systems for ML model performance and data drift, • Building automated labeling systems and human-in-the-loop workflows, • Experience in trust & safety, fraud prevention, or content moderation domains, • Knowledge of privacy-preserving ML techniques and compliance requirements, • Contributing to open-source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary: $300,000 - $405,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like 1Password, Fivetran, Greenhouse, and hundreds more. For more information, visit ___. Note: Exact job title will be commensurate with experience We have an ambitious product vision in a nascent area - AI-powered realtime collaboration - so there are a ton of interesting technical challenges on our roadmap. This is a role focused on implementing ML features into Nooks. Our ideal candidate will have prior experience working in industry for a business where ML is a core part of the offering. Responsibilities will include training production models to improve their accuracy for specific sales use cases. You will align our technical strategy with performance, cost and feasibility considerations. These are just examples, this list is non-exhaustive, and you definitely don’t need experience in all of these areas. But hopefully you find some of them exciting! * Realtime audio AI & precision/recall/latency tradeoffs (algorithms & models) * We use audio data, transcription, silence detection, and several other signals to detect whether a live phone call is a voicemail, a human, or a dial tree. Here, latency is a third factor added to the standard precision/recall tradeoff because it’s important we can detect humans quickly. Our approach involves LLM embeddings, few-shot learning, data labeling, and continuous monitoring of model performance in prod. * Smart call funnels & playbooks (data wrangling, backend eng, GPT-3, UX) * At what point in the conversation do my reps get stuck? What are the toughest questions that we need to address? Can I “program” a playbook so that Nooks will help my team standardize toward best-practices? We’re using GPT-3 and other LLM’s to turn companies’ mostly unstructured call data into actionable strategies & feedback loops. * Conversation embeddings & markov models (ML modeling) * What does the anatomy of a call look like? If I say XYZ, what are the different ways the prospect might answer and the probabilities of each? Conditioned on the first half of the call, what do I say next to maximize the likelihood that I book a demo at the end of the call? Can we use LLM’s to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed? * Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. * 3+ years of industry experience, including 2+ years training and deploying ML models in production. * Full stack ML Eng chops: proficiency in general purposes programming languages such as Python/Javascript, and with libraries like TensorFlow, PyTorch, Keras, scikit-learn etc. * Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models. * Background in an analytical field like heuristics, data science &/or statistics * Prior experiences working in both startup and research environments We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to market. In compliance with pay transparency laws and in pursuit of pay equity and fairness, we publish salary ranges for our open roles. The target salary range for this role is $140,000 - $240,000. On top of base salary, we also offer equity, generous perks and comprehensive benefits. Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

Drive technical excellence and establish ML best practices across the Buyer and Discovery teams, working closely with our Machine Learning Platform team. As our next Machine Learning Scientist you should have:.

About Us: Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our comprehensive audience engagement platform includes creative strategy and execution. With over 14 years in the industry, we handle 5 million mobile ad requests per second from over 10B devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. Role Overview We are seeking a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with senior research scientists and other team members to drive impactful data science projects and contribute to innovative solutions. This is an on-site role, 5 days a week, based in our South Beach office in San Francisco, California. Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement. Role & Responsibilities • Develop and deploy machine learning models at scale to address key challenges in programmatic advertising, such as user response prediction, bid landscape forecasting, and fraud detection., • Conduct exploratory data analysis and apply statistical techniques to extract insights and support decision-making., • Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation., • Work closely with senior data scientists and cross-functional teams including product, engineering, and business units to integrate models into production systems and applications., • Assist in the development and implementation of best practices for model deployment, monitoring, and performance assessment., • Stay updated on recent developments in machine learning and data science, and apply relevant techniques to solve complex problems and enhance our platform., • Minimum of five (5) years in data science with practical experience in machine learning, statistical analysis, and data modeling., • Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. PLUS if master's degree is a plus in Mathematics, Physics, Computer Science, or a related technical field., • Preferred experience with additional programming languages (e.g., Rust, C++, Java, Scala) and large-scale data processing systems., • Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus., • Proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch., • Proficiency in Python and SQL. Familiarity with Spark. Experience with libraries such as TensorFlow/PyTorch, Scikit-Learn, • Strong understanding of probability, statistics, and data analysis., • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.

About the Team The Runtime team builds the low level framework components to power our ML training systems. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. About the Role As a ML Infrastructure Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs * Profile and optimize our training framework * Work with researchers to enable them to develop the next generation of models You might thrive in this role if you: * Have run small scale ML experiments * Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden * Have strong software engineering skills and are proficient in Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Parcha is building the automation layer for fintech and banks. Our platform leverages cutting-edge language models and machine-learning techniques to automate complex compliance workflows while maintaining the highest standards of accuracy and reliability. Leading financial institutions trust us to handle their most sensitive compliance processes. We are looking for an Applied AI Engineer to drive innovation in our compliance automation platform. You'll work at the frontier of language model applications, developing novel solutions for document processing, due diligence, and risk assessment while ensuring robust evaluation and governance of AI systems. * Design and implement innovative LLM-powered solutions for compliance automation * Develop sophisticated prompting strategies and RAG architectures * Apply fine-tuning and in-context learning techniques * Create custom evaluation frameworks * Build robust model evaluation and governance systems * Design comprehensive back-testing methodologies * Implement A/B testing frameworks * Monitor model performance and drift * Research and apply cutting-edge AI techniques * Evaluate new models and architectures * Experiment with novel training approaches * Develop custom RAG implementations * Write production-quality code to implement ML systems * Design scalable architectures * Implement proper monitoring * Ensure system reliability * Deep expertise in modern LLMs and their applications * Prompt engineering and chain-of-thought techniques * RAG architectures and vector databases * Fine-tuning and model adaptation * Strong foundation in ML evaluation and testing * Back-testing methodologies * A/B testing frameworks * Model monitoring and governance * Solid software engineering fundamentals * Advanced degree in ML, CS, or related field * Experience applying LLMs to real-world problems * Background in financial compliance or RegTech * Track record of implementing novel AI techniques * Experience in fast-paced startup environments * Publications or open-source contributions * Modern LLM APIs (OpenAI, Anthropic, AWS Bedrock, GCP Vertex AI, etc.) * Vector databases and RAG frameworks * Python ML ecosystem * Cloud infrastructure (GCP) * Competitive salary and substantial stock options * Comprehensive health coverage: medical, dental, and vision insurance * Relocation assistance to San Francisco * Flexible PTO policy * Regular team-building activities and offsites * Professional development budget * Opportunity to significantly impact the direction of a high-growth AI startup * Work at the intersection of AI innovation and regulatory compliance * Solve complex problems with real-world impact * Access to the latest AI technologies and research * Collaborate with leading financial institutions * Join a well-funded startup with strong market traction Parcha is committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, especially those from historically underrepresented groups in tech. Join us in building the future of enterprise AI!

With more than 570+ million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you’ll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keep up with industry trends in recommendation systems, • Leverage LLMs to enhance content understanding What we’re looking for: • 6-12+ months of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • Degree in computer science, statistics, or related field, • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems, • Nice to have:, • M.S. or PhD in Machine Learning or related areas, • Publications at top ML conferences, • Expertise in scalable realtime systems that process stream data, • Passion for applied ML and the Pinterest product, • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-SM4

Overview: Vi is recognized as a Great Place to Work and one of Glassdoor's 100 Best Companies to work for. Learn from the best and accelerate your career with Vi. What We Offer: • Competitive pay, • Exceptional benefits, • Generous Paid Time Off - start accruing on day one, • 401k with company match, • Paid maternity and paternity benefits, • Award-winning training and development, • Tuition Reimbursement, • Luxury work environment, • Meaningful and rewarding work Vi at Palo Alto is located at 620 Sand Hill Road, Palo Alto CA 94304 Responsibilities: Maintenance Technician An opportunity exists on our highly accomplished maintenance team. The selected candidate will be responsible for completing routine repairs and preventative maintenance on building systems, life safety systems, building automation systems and equipment. Operates and maintains maintenance equipment. Qualifications: • Qualified applicants are required to possess 2 years of experience in operating and maintaining mechanical equipment and/or performing building repairs., • A trade school or courses in Electrical Wiring, Refrigeration, Heating/Air Conditioning, Plumbing or Carpentry is preferred., • High school diploma or GED equivalent is required., • Knowledge of safety procedures, preventative maintenance program and work order programs. The application window is anticipated to close within 30 days of the date of the posting. Pay Range: USD $28.84 - USD $36.05 /Hr.

Overview: Vi is recognized as a Great Place to Work and one of Glassdoor's 100 Best Companies to work for. Learn from the best and accelerate your career with Vi. What We Offer: • Competitive pay, • Exceptional benefits, • Generous Paid Time Off - start accruing on day one, • 401k with company match, • Paid maternity and paternity benefits, • Award-winning training and development, • Tuition Reimbursement, • Luxury work environment, • Meaningful and rewarding work Vi at Palo Alto is located at 620 Sand Hill Road, Palo Alto CA 94304 Responsibilities: HOUSEMAN An opportunity exists on our highly accomplished housekeeping team. The selected candidate will operate standard housekeeping equipment in: • Performing routine carpet and hard surface floor restoration and maintenance in the community's common areas., • Performing minor repairs on an as needed basis.repairs. Cleans common areas of the community. THIS ROLE DOES REQUIRE APPLICANT TO HAVE A DRIVER'S LICENSE Qualifications: Qualified applicants will preferably possess a minimum 2 years of experience in floor care, housekeeping, or janitorial work in a Hospitality, Healthcare, Environmental Services, or Senior Living Environment. Must possess a valid and current driver's license, where applicable. Additional requirements include: • Demonstrated skill in operating and maintaining equipment, • Knowledge of floor care procedures., • Skill with chemical solution and dilution ratios Pay Range: USD $21.26 - USD $25.10 /Hr.

Overview: Vi is recognized as a Great Place to Work and one of Glassdoor's 100 Best Companies to work for. Learn from the best and accelerate your career with Vi. What We Offer: • Competitive pay, • Exceptional benefits, • Generous Paid Time Off - start accruing on day one, • 401k with company match, • Paid maternity and paternity benefits, • Award-winning training and development, • Tuition Reimbursement, • Luxury work environment, • Meaningful and rewarding work Vi at Palo Alto is located at 620 Sand Hill Road, Palo Alto CA 94304 Responsibilities: Transportation Supervisor An opportunity exists at our community with our highly accomplished resident service teams to ensure that our residents receive all appropraite assistance during outings! The selected candidate is responsible for supervising the transportation staff responsible for transporting residents for their appointments and outings using the community vehicles. Qualifications: Qualified applicants would possess the following: • At least 3 years of experience as a bus or van driver, • Previous leadership and supervisory experience is preferred, • High school Diploma/GED equivalent is preferred, • Must possess a valid and current Commercial Driver's License, • A clean DMV driving record, • Excellent communication skills, patience, and the ability to deal with stress, • Possess a client and customer-focused approach to problem solving and goal setting Pay Range: USD $30.86 - USD $38.58 /Hr.

Senior Engineer to drive the development of innovative, client-facing GenAI solutions. You will mentor junior engineers on platform and application solutions and will focus on building strong technology practices on the team. What you have Required Qualifications: 8+ years of software developmen

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.

Joining Cyberhaven offers a unique opportunity to revolutionize data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution. About the role We’re looking for a passionate, artificial intelligence research engineer to help build groundbreaking applications of artificial intelligence in cybersecurity. We have exclusive datasets available for training and are employing novel techniques, such as graph neural networks, and transformers to analyze them. Our technology is new and rapidly evolving, and you’ll have a chance to be an early contributor at a Series D-sized company with a substantial impact on the solution. What you’ll do * You’ll apply both proven and cutting-edge machine learning technologies to build innovative solutions to solve hard, but critical, problems in the cybersecurity domain * You’ll see the near-term impact of your work, working with real customers and real data starting from the early prototyping phase * You’ll work in a small research and development team directly with the company CTO, tightly collaborating with the core product team to rapidly turn prototypes into products that help customers protect their data against ongoing real-world threats Who you are * Passionate about cybersecurity and AI * You have a strong track record in applying machine learning techniques to solve real-world problems in either research or industry settings * You’re creative and looking for innovative solutions but focused on solving important practical problems and ensuring your solution works in the real world * Experience working with transformer models like BERT, GPT or similar * Experience using pytorch and/or tensorflow, huggingface, and similar frameworks * You have excellent verbal and written communication skills in English Nice to have * Experience with deep learning research, peer-reviewed papers, or a Ph.D. degree * Blogs, articles or conference talks about cybersecurity or AI * Experience building apps on top of Large Language Models, such as GPT-4 * Experience with Anomaly Detection What you can count on * Competitive salary and stock options * Health benefits – 100% paid for you and your family * Flexible time off (paid) * Career advancement opportunities * Compensation Range: $225 - $250k Please note that Ranges showed encompass the entire US market, from higher rate cities like NYC, Bay Area and Seattle, to all the US Metro Area. Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $250M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others. Our company values are: * Think Deeply and Use Sound Reasoning * Step Up and Take Ownership * Continuously Learn and Grow * Obsess About Customers * Enjoy the Journey * Reach for Ambitious Goals Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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:

Stytch is the platform for user authentication. We build infrastructure that sits in the critical path of our customer's applications. As an Experienced Infrastructure Engineer, you'll work on designing and building back end systems and infrastructure to be secure and highly reliable for our customers globally. * A collaborative environment with a tight feedback loop between the work you do and the impact it has on users * Solving problems with pragmatic solutions — you know when to make trade offs between complexity and shipping quickly * Building products that make developers lives easier — as an infrastructure engineer for a developer infrastructure company, what you build will have an immediate impact on our customers * Shaping the culture and growing the team through recruiting, mentorship, and establishing best practices * Learning new skills and technologies in a fast paced environment * 5+ years as an infrastructure, site reliability or platform engineer * Familiarity with containerization and orchestration technologies (e.g. Kubernetes, Docker) and Infrastructure as Code (e.g. Terraform, GitOps), * Experience with observability tooling (e.g. Honeycomb, Datadog, ELK) and a compiled language (e.g. Go) * Experience scaling cloud infrastructure including relational databases (MySQL preferred) and Kubernetes (EKS preferred) * Experience designing and building highly reliable systems at scale * Technical — build new, highly reliable services that our customers can depend on * Ownership — advocate for projects and solutions that you believe in and ship them to production * Leadership — level up your teammates by providing mentorship and guidance * Go for backend services * Node and Typescript for our web services * Next.js and React/Typescript on the frontend * Swift for our iOS sdk and Kotlin for the Android sdk * We run our services on AWS with Kubernetes for orchestration * We use Terraform and GitOps to manage our infrastructure * gRPC and protobufs for internal service communication Expected base salary $185,000 - $225,000. The anticipated base salary range is not inclusive of full benefits including equity, health care insurance, time off, paid parental leave, etc. This base salary is accurate based on information at the time of posting. Actual compensation for hired candidates will be determined using a number of factors including experience, skills, and qualifications. We're looking to hire a GREAT team and that means hiring people who are highly empathetic, ambitious, and excited about building the future of user authentication. You should feel empowered to apply for this role even if your experience doesn't exactly match up to our job description (our job descriptions are directional and not perfect recipes for exactly what we need). We are committed to building a diverse, inclusive, and equitable workspace where everyone (regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics) feels like they belong. We look forward to hearing from you! Learn more about our team and culture ___! Stytch 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 United States. #li-hybrid

ABOUT BASETEN Baseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including ___, ___, ___, and ___, we’re trusted by leading AI-driven innovators like ___, ___, ___, ___, ___ ___, and ___ to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent ___ funding, we’re growing fast to make AI accessible across all products. THE ROLE As an Applied AI Inference Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. This role is part our Forward Deployed Engineering Team, with extra emphasis on the performance engineering aspects of the role. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: * * * * RESPONSIBILITIES: * Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. * Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion. * Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers * Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs. * Own products and customers projects end-to-end, functioning as both an engineer, project manager and product manager, with a focus on user empathy, project specification, and end-to-end execution. * Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. * Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS: * Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. * 1+ years of professional work experience in a fast-paced, high-growth environment. * Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python. * Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment. * Strong communication skills, particularly on complex technical topics. * Experience in building or optimizing AI/ML projects is highly valued. BENEFITS * Competitive compensation package. * This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era. * An inclusive and supportive work culture that fosters learning and growth. * Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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

CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality. As an Applied Gen AI Engineer at CodeRabbit, you'll play a central role in designing, building, and deploying advanced generative AI systems that power our code review and developer productivity tools. You’ll be responsible for bringing the latest advancements in generative AI to life — integrating techniques like RAG, RLHF, and multi-step agentic reasoning into high-impact product workflows. You’ll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real-world value, improving how developers write, review, and ship code. * Design and optimize LLM-based systems for high-quality, context-rich code reviews * Build and refine agentic workflows that reason across multiple steps and contexts * Develop and maintain knowledge base and retrieval pipelines (e.g., chunking, embeddings, semantic search) * Deploy generative AI models and pipelines into production and monitor performance * Collaborate across teams to ensure that AI outputs align with user needs and product goals * Analyze human-in-the-loop feedback and usage data to iteratively improve system performance * Apply RLHF, ranking, and reward modeling techniques to improve response quality over time * Stay current with the latest generative AI developments and apply them to new use cases * Education: Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience * Experience: 3+ years applying ML or LLM-based systems in real-world production environments, with at least 2 years of industry experience focused on generative AI * Technical Skills: Strong programming skills in TypeScript and Python * AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb * Prompt Engineering: Strong skills in prompt engineering * Data Fluency: Ability to extract insight from telemetry, logs, user signals, and structured feedback * Practical Mindset: Comfortable applying research-inspired methods to solve concrete product challenges * Cross-Functional Collaboration: Experience working across product, engineering, and design to deliver production-grade systems * Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies * Hands-on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs * Experience integrating LLM systems into developer tooling or collaborative workflows * Track record of contributions to open-source projects or publications in applied AI/ML * Build the Future: Help shape a new development paradigm with cutting-edge technology that has real-world impact. * Real Ownership: Every engineer owns projects end-to-end — from proposal to production. * Collaborative & Innovative Environment: Join a tight-knit team passionate about building transformative products. * Professional Growth: We invest in our people through mentorship, responsibility, and development opportunities. * Competitive Compensation: Strong salary, equity, and benefits package. * Hybrid Work Culture: Weekly in-person collaboration with flexibility for heads-down remote work. * 🤝 Collaborative Humans — Prioritizing collective intelligence * 🚀 Fearless Innovators — Turning obstacles into growth opportunities * 💪 Persistent, Passionate Developers — Thriving on complex, long-term challenges * 🎯 Impact-Driven Creators — Crafting intuitive tools for developers * 🧠 Rapid Learners and Un-learners — Adapting quickly in our fast-paced technological world Base pay range for this role is $200k-275k. Actual salary will be based on job-related skills, experience, and location. Apply Now — If you're excited to push the frontier of applied AI with practical impact, we’d love to meet you.

About Bland At ___, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior ML Engineer at Bland, you'll own the intelligence behind our voice AI platform. You're not just optimizing models—you're architecting the ML systems that make our agents sound genuinely human and drive real business outcomes for enterprise customers. Your work directly impacts whether our agents can handle complex, nuanced conversations or sound like corporate robots. What You'll Do * Own the full ML stack: Lead engineering and optimization efforts for our self-hosted STT, LLM, and TTS systems from research through production deployment. * Build production-grade inference systems: Design and implement high-throughput ML infrastructure serving millions of daily voice interactions with sub-second latency requirements. * Drive model performance: Research and implement novel approaches to improve our models' conversational quality, RAG pipelines, and reduce latency, * Optimize for enterprise scale: Handle complex inference optimization challenges—model quantization, efficient serving architectures, and cost optimization for large-scale deployments. * Collaborate across teams: Work closely with Deployment Engineers to understand customer requirements and translate business needs into ML solutions that actually work in production. * Push the boundaries: Experiment with cutting-edge techniques in conversational AI, real-time speech processing, and multi-modal understanding to keep Bland at the forefront of voice AI. What Makes You a Great Fit * Deep ML expertise: 3+ years in machine learning with 1+ years focused on speech, or conversational AI. You've shipped ML systems that real users depend on. * Experience with TTS/STT systems: You get your hands dirty with any new emerging technologies in this space, and are implementing novel solutions. * Specialist: You don’t have to have experience with the entire STT, LLM, TTS stack. We want someone who can narrow down on a specific problem and understand it in and out. * Production experience: You've built and scaled ML infrastructure from 0-1 and 1-100. You know the difference between a research prototype and a system that works at enterprise scale. * Full-stack mindset: Comfortable working across the entire ML pipeline—data, training, inference, monitoring, and everything in between. * Startup DNA: You've thrived in fast-moving environments where you own outcomes, not just tasks. You're comfortable with ambiguity and excited by the challenge of figuring things out. Bonus Points If You Have * Experience with real-time speech processing, TTS/ STT, or telephony systems * Background in large-scale distributed training and inference * Experience with conversational AI, chatbots, or voice assistants * PhD in ML/AI or equivalent research experience How You Show Up * Ownership mindset: You take full responsibility for your systems' performance and never wait for someone else to solve problems you can tackle. * Quality obsessed: You care deeply about the craft—our agents should sound truly human, not like phone trees. * Data-driven: You measure everything, run rigorous experiments, and let results guide decisions. * Collaborative: You work seamlessly with engineers, deployment teams, and customers to deliver solutions that actually work. * Relentless: You push through ambiguous challenges and complex technical problems until you find solutions. Benefits and Pay: * Healthcare, dental, vision, all the good stuff * Meaningful equity in a fast-growing company * Every tool you need to succeed * Beautiful office in Jackson Square, SF with rooftop views If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly. Please note, however, for this position machine learning experience at an United States based company is required. Compensation Range: $140,000-$250,000

About P-1 AI: We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth. Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.). About the Role: We’re looking for an experienced engineer to take ownership of LLM training operations across our applied research team. Your focus will be on making large-scale GPU training run reliably, efficiently, and fast on a dedicated mid-size GPU cluster and possibly on cloud platforms as well. You’ll work closely with researchers and ML engineers developing new models and agentic systems, ensuring their experiments scale smoothly across multi-node GPU clusters. From debugging NCCL deadlocks to optimizing FSDP configs, you’ll be the go-to person for training infrastructure and performance. What You’ll Do: * Own the training pipeline for large-scale LLM fine-tuning and post-training workflows * Configure, launch, monitor, and debug multi-node distributed training jobs using FSDP, DeepSpeed, or custom wrappers * Contribute to upstream and internal forks of training frameworks like TorchTune, TRL, and Hugging Face Transformers * Tune training parameters, memory footprints, and sharding strategies for optimal throughput * Work closely with infra and systems teams to maintain the health and utilization of our GPU clusters (e.g., Infiniband, NCCL, Slurm, Kubernetes) * Implement features or fixes to unblock novel use cases in our LLM training stack About you: * 3+ years working with large-scale ML systems or training pipelines * Deep familiarity with PyTorch, especially distributed training via FSDP, DeepSpeed, or DDP * Comfortable navigating training libraries like TorchTune, Accelerate, or Trainer APIs * Practical experience with multi-node GPU training, including profiling, debugging, and optimizing jobs * Understanding of low-level components like NCCL, Infiniband, CUDA memory, and model partitioning strategies * You enjoy bridging research and engineering—making messy ideas actually run on hardware Nice to Have: * Experience maintaining Slurm, Ray, or Kubernetes clusters * Past contributions to open-source ML training frameworks * Exposure to model scaling laws, checkpointing formats (e.g., HF sharded safetensors vs. distcp), or mixed precision training * Familiarity with on-policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2C * Experience working at a startup Interview process: * Initial screening - Head of Talent (30 mins) * Hiring manager interview - Head of AI (45 mins) * Technical Interview - AI Chief Scientist and/or Head of AI (45 mins) * Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale. As the pioneer in deploying machine learning into clinical workflows, Curai Health enables its dedicated, specially trained clinicians to deliver primary care to more people at a fraction of the cost. Easy-to-use and convenient, Curai Health partners with insurers and health systems to keep patients engaged in their care over time, improving health outcomes and reducing costs. Our company is remote-first and we consider candidates across the United States. Our corporate office is located in San Francisco. Machine Learning Engineering at Curai We are looking for a ML Engineer to join our AI team. Our team is responsible for Curai’s ML/automation technology. Your work will have a tremendous direct impact on provider and patient-facing ML-augmented applications, thereby providing low-friction, high-quality care to patients of Curai Health. We are primarily a text-based service and NLP is at the core of our ML work. With recent advances in large language models, we see a tremendous acceleration in capabilities. A non-trivial part of our work involves appropriately leveraging and building on top of these models thoughtfully (and with scaffolding) to our use cases and backing them up with a sound automated evaluation. In addition, we use the in-house deidentified data as robust feedback data for continuously improving the ML models. Who You Are • A self-starter and have a growth mindset, • Enjoy tackling complex problems in a scientific and data-driven way, • Thrive in ambiguity and love tackling complex problems that span multiple systems, • Enjoy thinking through trade-offs with mindfulness of near-term needs and Curai’s long-term strategy, • Are collaborative and appreciate working with people with diverse expertise What You’ll Do • Develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference,, • Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights., • Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation., • Interview diverse talent to build and grow a strong ML team. What You’ll Need • 2+ years of industry experience in ML/NLP including building production systems., • “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need exposure to the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops., • "Product sense" or intuition on what to build: With guidance, you will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions., • Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the mental models of the audience and communicating ideas crisply to this diverse set of stakeholders will be a vital part of the role. • You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes. Our interview process typically consists of an initial call to meet your future manager and a technical phone call with two future teammates. The next round is a series of four technical phone calls where you meet cross-functional partners and other teammates at the company. These interviews are set up in such a way as to allow you to learn more about us (mission, product, company culture, and vision) and for us to know more about you (your superpowers and strengths). We tailor our interview process to your background and interests. What We Offer • Culture: Mission-driven talent with great colleagues committed to living our values, collaborating, and driving performance, • Pay: Competitive compensation and stock, • Wellness: Unlimited PTO, flexible working hours and remote working options, • Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave, • Financial: 401k plan with employer matching The annual base salary range for this position is between $150,000 - $200,000. annually. Stock grants also play a key part in any offer, they increase your overall compensation package significantly based on company success. Please note that the base salary range is a guideline, and individual total compensation will vary based on qualifications, skill level, competencies, and work location. Curai Health is a startup with a small but world-class team from high-tech companies, AI researchers, and practicing physicians to team members from non-traditional career paths and backgrounds. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors, including Morningside, General Catalyst, and Khosla Ventures. At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, 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, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission-driven teammates, who embody our core values, and appreciate our transparent approach. \n \n Beware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at ___.

Ironclad is the #1 contract lifecycle management platform for innovative companies. Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. Ironclad is ___ that shows how beautiful and functional contracting will change business. We’re a leader in the ___. We have been recognized as a ___ for four consecutive years. Our innovation and work culture have been recognized by ___, Forbes’ ___, Wing Venture Capital's ___, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture. We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit ___ or follow us on ___ and ___. About the Role: We're seeking an experienced Infrastructure/Platform Engineer to help build and maintain our cloud-native infrastructure across multiple environments. You'll be instrumental in designing, implementing, and operating highly available, scalable systems that power our production services. We believe in fostering a culture of continuous learning and improvement. You'll have opportunities to work with cutting-edge technologies while solving complex challenges at scale. Core Responsibilities * Design and implement cloud infrastructure solutions across GCP and AWS environments * Architect and maintain database systems including PostgreSQL and NoSQL solutions * Drive infrastructure-as-code initiatives using Terraform and other modern DevOps tools * Build and improve CI/CD pipelines to enable rapid, reliable software delivery * Implement and maintain observability solutions across our distributed systems * Collaborate with development teams to improve system reliability and performance * Mentor junior engineers and contribute to technical decision-making * Drive automation initiatives to improve operational efficiency Required Qualifications * 5 - 7+ years of experience operating performant distributed systems * Strong expertise in cloud platforms (GCP and AWS) * Extensive experience with infrastructure-as-code, particularly Terraform * Proficiency in TypeScript and modern programming practices * Deep understanding of PostgreSQL and NoSQL databases * Experience with containerization and Kubernetes orchestration * Strong Linux systems administration skills and understanding of OS internals * Proven track record of building and maintaining CI/CD pipelines * Experience with configuration management tools (e.g., Salt) * Strong foundation in distributed systems and concurrency control * Expert-level knowledge of observability, monitoring, and alerting practices Preferred Qualifications * Contributions to open-source projects * Experience building developer platforms and tooling * Track record of improving system reliability and performance at scale * Experience with capacity planning and cost optimization * Knowledge of security best practices and compliance requirements * Experience mentoring and leading technical initiatives Key Competencies * First Principles Thinking: Ability to break down complex problems and focus on delivering what matters most to users * System Design: Strong ability to design scalable, resilient distributed systems * Problem Solving: Excellent analytical and troubleshooting skills * Communication: Ability to effectively communicate technical concepts to various stakeholders * Leadership: Experience in technical leadership and mentoring * Initiative: Self-motivated with a strong drive to improve and automate processes What Sets You Apart * Deep understanding of cloud-native architectures and best practices * Experience handling incident response and post-mortem analysis * Track record of improving system reliability through automation * Contributions to technical documentation and knowledge sharing * Experience with multi-region and high-availability architectures * Demonstrated ability to balance technical debt with business needs Impact You'll Have * Shape the technical direction of our infrastructure and platform * Drive adoption of modern Platform Engineering practices across the organization * Improve system reliability, performance, and cost-efficiency * Build scalable solutions that enable rapid product development * Mentor and grow the technical capabilities of the engineering team Benefits: * Health, dental, and vision insurance * 401k * Wellness reimbursement * Take what you need vacation policy * Generous parental leave for both primary and secondary caregivers Base Salary Range: $190,000 - $210,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Logistics is one of the single largest industries in the world. Globally, logistics is an ___ trillion dollar industry and in the US alone, ___, representing ___ of GDP. A single percent of improvement drives profound change to every corner of the world—from the cost of our goods, to the livelihoods of local communities, to even the impact on our environment. To reshape the industry, at TruckSmarter, our focus is first on truck drivers. Trucks move ___ of freight in America (~$800bn annually) & the trucking industry represents nearly ___ of the full-time jobs in the country. If you look around you, every item has sat on a truck at one point on its journey to you. However, despite the industry being one of the greatest levers of innovation throughout history, it is still deeply fragmented & structurally misaligned. Our mission is to fix that—and we need your help. As our first Senior Machine Learning Engineer, you will be responsible for building machine learning models, the corresponding data pipelines and the local and production training and inference systems for our core product and operational workflows. You will work closely with designers, operations team, and other engineers driving the technical design, implementation and scale up. Working model: TruckSmarter offers an in-office collaborative culture. This role is based out of our downtown San Francisco office, and requires in-office presence three days per week (typically Mondays, Wednesdays, and Fridays). What Excites You * Define the AI/ML roadmap for building LLM-based AI agents, as well as the traditional AI/ML models for identity verification, fraud detection, and underwriting. * Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. * Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. * Investigate, prototype and deliver innovative solutions * Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth. * Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics. What Excites Us * Master’s or PhD degree in Computer Science or a related field. * 5+ years of experience with designing, building and scaling ML Training and real-time Inferencing systems. * Proficiency in Python with experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch. * Prior experience using LLMs to build AI agents. * Excellent written and oral communication skills and the capability to drive cross-functional requirements with business, product, operations and engineering teams. What Success Looks Like * Build AI agents to solve end-user problems as well as increase the efficiency of our internal operations. * Use TruckSmarter’s proprietary and other third party data to build our first machine learning models to predict the likelihood of fraud, and underwrite credit for businesses to keep our NPAs very low. * Establish the data pipelines for offline training and real-time inference. * Health, Dental & Vision Plans * Competitive Pay * 401k * Unlimited PTO * Lunch + dinner daily * Commuter benefits We would love to have you be a part of something special, and are excited to review your application.

Rattle is building the first AI-powered Revenue Intelligence Platform, solving the most critical problem in B2B sales: 75% of companies miss their revenue forecasts because the entire revenue tech stack depends on manual seller input and CRM guesswork. The Problem We're Solving: Every Monday morning across 500,000 companies worldwide, revenue teams gather to answer three questions: Which deals will close? For how much? By when? This is solely based on the seller’s version of reality. Hence, revenue leaders spend more time inspecting deals than executing on them. We're targeting the $2B+ forecasting market currently dominated by solutions that customers find disappointing due to their dependence on manual data hygiene. We are at an early stage of this product with a clear path to explosive growth, leveraging our experience & network in building Rattle over the last 5 years. Join us in eliminating the manual drudgery of revenue operations and building the future where forecasting is automatic, accurate, and actionable. Backed by Tier-A investors, including Lightspeed, Insight Partners, Google Ventures, and Sequoia. We're hiring for our San Francisco office - all positions require working in person. • Built multi-agent systems with orchestration workers and smooth handoffs, • Deep expertise in vector databases, matching algorithms, and preprocessing pipelines, • Experience with Graph RAG and agent frameworks like LangGraph/Autogen, • Codes daily and excited about 0→1 product development, • Experience in scrappy early-stage startup environments, • Shapes architecture and implementation decisions, • Willing to dive deep into complex technical problems, • You love Slack (we are a Slack-first company). You have been part of an early/mid-stage start-up before, • You love TechCrunch. We are obsessed with reading and talking about startups, • You have created some amazing open-source projects, • Shape the culture: As an engineer here, you’ll be instrumental in building the culture with us, • Have meaningful impact: Your work will enable 1000s of enterprise customers and millions of data requests per hour, • Flexibility: You get to design your workday around your life - we believe in outcomes and not counting hours, • Listen and be heard: We love feedback, we enjoy receiving and giving each other feedback, and we grow together

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do * Define Fleet Health metrics and indicators to objectively measure and improve system availability * Collaborate with the observability team on comprehensive monitoring and alerting systems to proactively predict, detect and respond to issues or anomalies * Create runbooks and automated remediations for common failure scenarios * Build in automation and auditing to ensure compliance and improve efficiency and productivity * Participate in on-call rotations and provide support for incident response and resolution * Implement and integrate logging and metrics across platforms such as Datadog, Prometheus, OpenTelemetry, Grafana, SumoLogic, etc You * 7+ years of experience in Site Reliability Engineering, DevOps, or a similar role * Strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization * Strong understanding of Linux-based systems in a distributed environment * Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling. * Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, SumoLogic) * Proficiency in automation and configuration management tools (e.g., Ansible, Terraform) * Familiarity with cloud platforms (e.g., OCI, AWS, GCP, Azure) * Excellent problem-solving and troubleshooting skills * Strong communication and collaboration skills * Passion for continuous improvement and innovation Nice to Have * Experience in the machine learning or computer hardware industry * Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) * Experience building and/or operating HPC resources. * Background in chaos engineering or similar reliability testing methodologies * Understanding of compliance frameworks (SOC 2, ISO 27001, etc.) Salary Range Information Based on market data and other factors, the annual salary range for this position is $155,000-$224,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda * Founded in 2012, ~350 employees (2024) and growing fast * We offer generous cash & equity compensation * Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. * We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability * Our___ have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG * Health, dental, and vision coverage for you and your dependents * Commuter/Work from home stipends for select roles * 401k Plan with 2% company match (USA employees) * Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

✍🏽 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 ___.

We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. We're looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. You’ll be instrumental in designing low-latency, high-throughput systems that serve state-of-the-art models in real time. As an early technical leader, you'll shape both our systems and culture from day one. • Architect and implement the inference engine for diffusion transformer-based generative models, • Optimize model execution across the stack — memory, compute, and networking, • Drive performance engineering to minimize latency and maximize throughput, • Work closely with research to productionize new generative techniques and model variants, • Build the tools, services, and monitoring that make these systems robust and scalable, • Set the technical bar and help define engineering culture as an early team member, • 3+ years of experience building high-performance ML or systems infrastructure, • Deep fluency with PyTorch and production-grade Python, • Strong understanding of GPU systems (CUDA, memory hierarchies, scheduling, etc.), • Experience optimizing inference for generative models (e.g., diffusion, transformers), • Bonus: Familiarity with Triton, CUDA, TensorRT, or model parallelism techniques, • Startup-ready: you take ownership, move quickly, and solve hard problems end to end, • Strong Python + PyTorch skills, • Proven experience optimizing inference for generative models, • Deep systems knowledge, especially GPU performance tuning, • High agency and eagerness to build from scratch, • Competitive SF salary and foundational team equity

About Us Supio is a trusted AI platform purpose-built for law firms, reshaping how data drives impactful outcomes. Our innovative approach blends technology with deep legal expertise, making us a leader in our field. We go beyond surface-level AI to deeply understand our customers’ daily needs, empowering law firms with unparalleled data insights. Supio delivers human-level, accurate analysis of complex data and legal records, quickly and efficiently bringing critical insights when they matter most. Trusted by top litigation lawyers, our platform has supported over $1 billion in settlements, even in courtrooms. Does this sound like you? We're seeking a Senior Machine Learning Engineer to drive and scale the validation of our AI systems. You'll lead a team of applied scientists while staying hands-on, building the measurement frameworks and experimental approaches that ensure our AI systems deliver reliable results. In this role you will: • Design, build, and deploy ML systems that power core product features—from prototype to production., • Work across the stack to integrate models into scalable and maintainable infrastructure., • Conduct rigorous experimentation, data analysis, and performance evaluation to drive improvements., • Collaborate closely with product, design, and engineering teams to align technical solutions with business goals., • Mentor junior engineers and help establish best practices for our ML development lifecycle., • Own projects end-to-end in a fast-paced, agile environment—wearing multiple hats when necessary., • Stay up-to-date with research and emerging techniques to inform our ML roadmap. Qualifications: • Expertise in Machine Learning algorithms and LLM architectures, • Experience with developing, fine-tuning, and deploying LLMs and other advanced ML models in production environments., • Experience with cloud-based platforms and ML infrastructure (e.g., AWS, GCP, Azure) to scale model development and deployment., • Strong communication skills to explain complex ML and LLM concepts to non-technical stakeholders and influence decision-making at the leadership level. Nice-to-haves: • Experience producing and working with AI-driven or data-heavy platforms., • Familiarity with legal technology or products in the legal industry., • Previous experience in fast-paced startup environments or building products from the ground up. Compensation: Salary Range: The salary range for the SF Bay Area is $155,000-220,000 annually plus equity, with the potential for variation based on qualifications and skills. Why Join Us? As a Series-B startup, joining Supio means becoming a vital contributor to our success, where your ideas and efforts will directly shape our products, company culture, and long-term vision. We're in an exciting phase of scaling, presenting opportunities for both company and career growth as we expand our market presence and develop new features and services. Benefits & Perks Supio offers an extensive benefits package and perks which include: • Health insurance: medical, dental, and vision, • 401k, • Flexible paid time off (PTO) and company-paid holidays, • Monthly commuter subsidies, • DoorDash subsidies for breakfast and dinner E-Verify Participation Notice Supio participates in E-Verify, an employment authorization program through the U.S. Department of Homeland Security and the Social Security Administration. Equal Employment Opportunity (EEO) Statement Supio is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Look around you today, every store, home, hospital, school, was made possible by the coordination of architects and a team of professionals. They are charged with the responsibility of creating our shelters and yet, they are left with nothing more than Excel to manage their work. We're here to change that. Monograph is a firm performance management platform for architecture and engineering practices. Firms use Monograph to make quick and confident decisions about budgeting and resources to drive their practices forward. People first: Core to the team, we believe in people first, curiosity, and empathy. You'll be a culture ambassador and deploy your genuine value for relationships to drive success and happiness. Build a company that will redefine architecture: Project management is just the beginning...we have big ambitions to help facilitate the entire design process from becoming the document source of truth to coordinating with consultants. You can shape the future of building design. Work with some of the best product people in the world: We’re an innovative team of highly productive individual contributors with a strong design background. You will be doing some of the best work of your life. We are ready to bring on our first AI engineer, dedicated fully to this function. • Currently in the SF area (required) and open to joining a remote-first team, eventually coming in office to collaborate about 1x per week, • A generalist who takes pride in your work and seeks impact in what you deliver, • React/Typescript and Ruby on Rails experience, • Familiarity with GraphQL, • Effective written and verbal communication, • Mid to senior level startup experience, • Next.js frontend web app, • Ruby on Rails backend web app, • GraphQL, • React native / Expo mobile app, • Postgres, redis, • Spend time learning about the industry we serve. A significant portion of our team has worked in architecture or architecture-adjacent industries, so there’s a wealth of knowledge on tap!, • Provide technical mentorship to a teammate., • Work with your product and engineering peers to scope, deliver, test, and maintain features that delight our customers., • Estimate project work, to set or reset expectations with your teammates., • Spend time 1:1 with your manager and other Monograph leaders, sharing your experience and working together to help you reach your growth goals., • Contribute to decision-making through our RFC process. We use RFCs to collaborate on our process and technical decisions., • Perform compassionate code reviews, seeking opportunities to learn and teach., • Track down and fix pesky bugs. We’re always looking for ways to improve the product!, • Collaborate closely with customer-facing teams to ensure our users continue to love our product., • Write and ship code in our Next.js and Rails applications., • Contribute to our engineering culture by giving a presentation, or sharing something you’ve read., • Spend time with your teammates, whether in a pairing session, a “coffee, cookies, and code” meeting, or regular team syncs., • Share your weekly goals with your teammates, and review their goals with an eye toward how we can assist one another in reaching them together!, • Occasionally travel to team off-sites for real, face-to-face interaction and collaboration., • Exposure to a range of problem domains, programming languages, and frameworks, and familiarity with patterns that are idiomatic to them. We value diverse perspectives, and the depth and breadth of your experience will provide unique insights into the problems we solve each day!, • Bringing a people-focused approach to your work. How will your work impact our customers? How will it impact your coworkers? These are front-of-mind for you when you consider the ever-present tradeoffs in building software., • Being intentionally curious. During your time as an employee, you are expected to challenge the status quo, not take things for face value, and ask: “why?”, • Willingness to do the hard thing, whether having a difficult conversation with a coworker or stretching into the discomfort at the edges of your experience and knowledge., • Finding the opportunities for enjoyment in new challenges, and making space for silliness now and again. You’ve learned how to make work fun for yourself and those around you., • Being design driven. Experiences should be as well-designed as the buildings our customers work on. Salary Range: $100,000 - $130,000 depending on experience We encourage individuals from underrepresented backgrounds, including women and minorities, to apply for this position. We believe in creating a diverse and inclusive workplace and welcome candidates who may not meet every listed requirement but are eager to contribute and grow within our team. Even if you don't meet every requirement, we still encourage you to apply. 🎭 Innovative engineering and product culture 💰 Early-stage well-funded company ❤️ Inclusion and diversity as a company priority And for US-based, full-time employees: 🌡 100% premium coverage on our healthcare plans for employees and their families 🦷 Dental & vision coverage for employees and families 🖥 New laptop & equipment 🏋🏻‍♀️ Wellness Stipend

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at ___. Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment ___ they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * ___ named us an “enterprise startup to bet your career on” * ___ recognized us as one of the top 100 private cloud companies in the world * ___ ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * ___ ranked us the #1 best company for remote workers We are seeking an exceptional Senior Software Engineer to join our EMEA team and build new ML/AI services. You will collaborate closely with product and engineering to create scalable and intuitive services. This role requires a high technical standard. * Design, build, and enhance AI services and APIs powering our Workato products, leveraging LLMs and custom ML models. * Develop well-architected, testable, and efficient Python code production services and experimentations. * Implement and improve validation, monitoring, and observability for production-grade solutions. * Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. * Continuously evaluate and optimize existing implementations for performance, scalability, and usability. * Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. * Conduct code reviews and mentor team members to uphold high engineering standards. * Production deployment & integration. Create and maintain APIs and microservices for model serving; build and maintain middleware layers integrating LLMs with existing systems. * * Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. * 5+ years of experience as an ML Engineer, Data Scientist, or similar role. * Strong Python programming skills and hands-on experience with NLP and LLM models. * Proven track record of deploying and maintaining ML services in production environments. * Solid understanding of network protocols, API design. * Experience with relational and non-relational databases. * LLMops/MLops experience is a strong plus. • Experience building or supporting developer platforms, APIs is highly desirable. Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots. * Experience with open‑source LLM frameworks (e.g., LangChain, LlamaIndex) and vector databases. * Familiarity with metrics logging and monitoring stacks (Prometheus, ELK), and observability best‑practices. * Strong written and spoken English; ability to communicate complex ideas clearly to technical and non‑technical stakeholders. * Collaborative team player who takes initiative and thrives in a dynamic startup environment. * Adaptable mindset with willingness to switch tools or languages when needed. * Analytical thinker with a focus on continuous improvement and innovation.

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

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 ___.

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.

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

Based in San Francisco, California, Final Round AI is revolutionizing the job interview process with cutting-edge technology. Our platform offers real-time interview coaching, mock interview simulations from top companies, and tools to help you build a hireable resume—making it easier and faster to land your dream job. Our mission is to help you stand out, feel confident, and secure the job you’ve always wanted. Backed by some of Silicon Valley's leading venture capital firms, Final Round AI continues to grow rapidly. Our team is expanding, and we’re looking for focused, visionary team players and leaders to join a fast-paced, dynamic environment. With over one million candidates from 100+ countries already securing their dream jobs, Final Round AI is transforming careers and breaking new ground. * Write business logic in our cloud native backend service at scale. * Maintain, refactor, migration of our existed service. * Writing & Maintaining agent, workflows * Oncall & Incident Handling. * Code Review * Day to day DevOps on K8S * Write technical design and drive discussions on emerging new product. * Drive technical initiatives based on business context, conduct research and technical design to support long term business OKR. * Apply and adapt new knowledge / tech stack in a rapid speed. (coming out of your comfort zone is our day to day work) What we are looking for * Hacker spirit - Dont just talk about shit, build it. * Bonus - Hackathon winner / Opensource top contributor / Or just something you built thats really cool. * Prompt Engineering should be your second nature. * Being a cool kid - comfortable vibe coding and proficient with all AI tools available to you * Work smarter not harder * Large scale infra experience * experienced with multi tenant system with LB, sharing, sticky session, etc * Write Production Ready Agents + Workflow * Experienced at least with one agent framework * Bonus - Wrote agentic framework with opinioned agent design before. * Built system multi agent / multi modality input would be a bonus * Language: * Python - Not the spaghetti Python code though. Think twice before you apply. * Typescript * Enable to drive project without Tech Lead/CTO’s guidance with independent technical decisions. * Able to communicate technical design choices and decisions in both online (meeting) and offline (slack, design doc, daily reports, etc) We don't test brain teasers so there's no point of cheating the interview. Just be yourself. We don’t believe in the conventional interview process – we believe it delivers minimal signals and fails to truly capture a builder’s potential. That’s why we’ve designed a process that values what you can build over what you can say. Here’s How It Works: * 2 - 3 Rounds of Video Chats – No Leetcode. No brainteasers. Just real conversations. * 1-2 Technical Round - be yourself. * 1 Behavior Round * Your Story Matters – We care about what you’ve built before and the impact you’ve made. * Paid Work Trial (4-5 Days) – If the fit feels right, you’ll dive right in and build with us. Get paid to show your skills in action. What We Value: * Hackers, Builders, and Doers – If you live to create, solve problems, and push boundaries, you’ll feel right at home. * Your Craft and Passion – Not just words, but what you can build. We’re looking for creators who bring ideas to life. * Challengers of the Norm – We believe in a better way to hire. If you’re bold enough to help us build it, let’s talk. 💡 No Buzzwords. No Pretenses. Just Building. If you’re ready to break the mold and build something extraordinary, join us and let’s redefine the future of hiring – together.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines. \n Responsibilities • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed, • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services, • Utilize OWASP top 10 techniques to secure code from vulnerabilities, • Maintain awareness of industry best practices for data maintenance handling as it relates to your role, • Adhere to policies, guidelines and procedures pertaining to the protection of information assets, • Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics, • You have 1-2 years industry machine learning experience, • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project, • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others, • You know the ins and outs of Python, especially as it applies to the above ML frameworks, • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files, • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker, • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice, • You have great communication skills and ability to work with others, • You are a strong team player, with a do-whatever-it-takes attitude \n Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Tier 1 investors like Jack Altman (Alt Capital), Amplify Partners, First Round Capital, Y Combinator, and more. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI. As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. You will: * Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. * Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers. * Collaborate with our Operations team to gather useful training and evaluation datasets to improve the quality of our models. * Architect the systems that enable resilient, durable inference and evaluations. * Have full autonomy to drive the ML roadmap, influence technical direction, and lead research and infrastructure investments. * 5+ years of professional ML experience including DSP/ML audio algorithm development. * Demonstrated experience owning ML pipelines end-to-end, from POC to production. * Ability to translate research ideas or papers into high-quality Python code. * Proficiency in Python and common Deep Learning frameworks like PyTorch. * Ability to think broadly and cross-functionally about model quality in the context of user experience and the business value. * Experience working with cloud technologies (eg. AWS or GCP) and developing machine learning models in a cloud environment. * PhD or Masters in Computer Science or a related field. * Experience training generative AI models. * Expertise in audio signal processing, both classical and machine learning techniques. * Led ML teams, setting direction and driving development cadence. * Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

About Anyscale: At ___, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing ___, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like ___, ___, ___, ___, ___, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by ___ with $250+ million raised to date. About the role The Anyscale Research team is looking for a strong ML Engineer and Researcher who is passionate about pushing the boundaries of what’s possible with Ray. In this role, you will be instrumental in developing cutting-edge features, such as our new Accelerated DAG (ADAG) API, to establish Ray as a leader in large-scale training. You will play a key role in exploring new directions and driving our vision for Ray’s future. This position is ideal for individuals with a strong engineering background and a passion for ML systems. You will spend approximately 70% of your time coding and engineering, while the remainder will focus on research to support our strategic vision and innovation. The role demands a deep understanding of ML systems and applications, including LLMs and multimodal models, with a strong emphasis on technical skills and engineering expertise. About the team We are a newly formed team dedicated to applied research in both ML modeling and systems. Our mission is to advance the capabilities of Ray and advance machine learning workloads on the Anyscale Platform. We operate at the intersection of research and engineering, collaborating closely with the Ray Core and Ray Train teams to bridge gaps and develop innovative solutions that push the frontier of ML and systems research. \n We'd love to hear from you if have • Production level experience in Machine Learning, and in distributed ML Systems (Python/Pytorch), • 4+ years experience in one of those fields: Machine Learning, NLP, or CV, or ML Systems, • Graduate degree (MSc or PhD) in one of the fields above, • Published in a top-tier AI conference (Neurips, ICML, ICLR, CVPR, ACL, etc) A snapshot of projects you may work on • Enhancing Ray for Large-Scale Training: Collaborate with the Ray Core and Ray Train teams to adapt and optimize Ray for efficient, large-scale GPU-heavy training, addressing current limitations and expanding its capabilities., • Developing the ADAG API: Explore and potentially implement an Accelerated DAG (ADAG) API for Ray, aiming to improve performance and scalability for complex ML workflows., • System Integration and Optimization: Create and refine integrations between Ray and other components, such as Ray Data, to streamline large-scale ML processes and ensure seamless operation across different systems., • Research and Innovation: Contribute to cutting-edge research in ML systems, identifying new opportunities and methods to push the boundaries of what Ray can achieve in large-scale training environments., • Prototype and Benchmarking: Design and build prototypes to test new features or enhancements, and conduct benchmarking to assess performance improvements and validate the effectiveness of your solutions., • Work on applied research, pushing state-of-the-art on large-scale model training, • Advance Ray as the best open source library for large-scale machine learning Compensation • At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including, Stock Options, • Healthcare plans, with premiums covered by Anyscale at 99%, • 401k Retirement Plan, • Wellness stipend, • Education stipend, • Paid Parental Leave, • Fertility Benefits, • Flexible Time Off, • Commute Reimbursement, • 100% of in office meals covered \n Anyscale Inc. 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. Anyscale Inc. is an E-Verify company and you may review the ___ and the ___ Anyscale Inc. is an E-Verify company and you may review the and the

Front is the leading AI-powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front’s flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer-first, every day. More than 9,000 of the most innovative companies worldwide including CultureAmp, HootSuite, and Y Combinator use Front to deliver five-star service at scale. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including ___, ___, , and ___. AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The AI innovation team at Front leverages AI and ML methodologies to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale. ___! What will you be doing? • Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on applications like text generation, classification, RAG systems, etc., • Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities., • Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends., • Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency., • Dive deep into real-world data, ensuring high-quality model training and iteration, • Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards., • Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate. What skills and experience do you need? • 5+ years of experience in software development, • Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies., • Strong experience with prompting techniques, RAG pipelines, evaluation mechanisms, and fine-tuning LLMs preferred., • High learning agility - you’re excited when you encounter a problem you haven’t seen before., • Strong product and user-centric mindset, • Bias for impact, and pragmatism to deliver real user value through AI., • Strong communication skills that illustrate a clear, structured thought process and ability to explain complex technical concepts to non experts. This is a hybrid role, expected to be in our SF office on Tuesdays and Thursdays. What we offer * Competitive salary * Equity (we are post-series D & backed by some of the best VCs in the US) * Private health insurance, including plan options at no cost to employees * Paid parental leave * Flexible time off policy * Focus Fridays - learn more ___! * Flexibility to work from home 3 days/week (unless posted as a full-remote role) * Mental health support with Workplace Options * Family planning support with Maven * $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities * Wellness Days - Fronteers get an additional day off on months with no holidays * Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the ___ & ___ Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the &

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

Console is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary. Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end. We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels. As an Applied AI Engineer at Console, you’ll work on the core agent loop and the many AI flows that make our product feel like magic. You will work closely with the product team and leadership to ship experiences which delight users and "just work". Some examples of work you might do: * Building a copilot agent that human agents can delegate work to and get 10x more done * Architecting product flows that collect user feedback and feed into online evals for rapid iteration * Learning from unresolved tickets and suggesting new automations to customers automatically You'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision. This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees. * You're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customers * You have great taste; you understand that the best AI experiences feel great to use and you care deeply about getting the details right * You carefully study data to discover qualitative insights from individual traces and can build quantitative systems to evaluate performance at scale * You're immersed in the world of frontier AI and constantly learning about effective AI architecture * You've worked on AI systems with real usage and know how to iterate effectively on production agents * 4+ years of full-time software engineering experience, with a recent focus on applied AI product engineering * Comfortable working and contributing across the entire stack (Typescript/Node/React) * Obsessed with building incredible product experiences for users, and never happy with "good enough" * Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. * World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased. * Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up. * Competitive pay and benefits: top compensation with full benefits including: * Equity with early exercise & QSBS eligibility * Comprehensive health, dental, and vision insurance * Unlimited PTO * 401(k) * Meals provided daily in office

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.

Tako is an AI-first startup reinventing how companies manage people and payroll. We build products that eliminate bureaucracy, automate repetitive tasks, and give People teams the autonomy to focus on what truly matters. We're backed by top-tier investors (a16z and Ribbit Capital) and growing quickly. We’re building a collaborative onsite team at our new San Francisco office, and this role is one of our foundational AI hires in the U.S. As an Applied AI Engineer at Tako, you'll be responsible for designing and deploying AI solutions that directly power our core HR platform. You’ll collaborate closely with design, engineering, and product teams to develop fast, reliable, and deeply impactful models and infrastructure. This is a high-ownership, high-impact role where your work will shape the future of work itself. * Use AI to automate real-world use cases, connected to our core HR product. * Design, build, and deploy machine learning models and automations. * Own the AI infrastructure stack — including data pipelines, and MLOps tooling * Contribute to key architectural decisions as we scale our AI capabilities * Collaborate with product and design to develop delightful, AI-powered user experiences * Stay current with advancements in AI and identify ways to apply them meaningfully * Share knowledge with the team and with the community. Required: * 1+ years of experience delivering AI solutions to production, with paying users * Strong Python or TS/Node skills and expertise with ML libraries like PyTorch or TensorFlow * Familiarity with cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) * Solid understanding of model deployment, monitoring, and retraining in production environments * Strong communication skills and a collaborative mindset Nice to have: * Experience with LLMs, RAG pipelines, or vector databases * Experience building AI products in fast-paced startup environments * Contributions to open-source ML/AI tools or research * Base salary: USD 150,000 – USD 250,000/year (depending on level and interview performance) * Equity: stock options package * Comprehensive health, dental, and vision coverage * Paid parental leave * Flexible monthly benefits * On-site work at our brand new SF office * U.S. visa sponsorship available We're a team of builders with big-tech experience and startup speed. We move fast, avoid red tape, and care deeply about product quality. At Tako, you’ll have autonomy, ownership, and the chance to build AI that genuinely improves people's work lives. Tako is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, disability, veteran status, national origin, or any other legally protected characteristic. We are committed to building a diverse and inclusive team.

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 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

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

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team: Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team – delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences Role Overview: We are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience. Tech Stack: Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: * Languages: Python, Golang, Scala, Ruby on Rails * Orchestration & Pipelines: Airflow, Databricks, Spark * ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc. * APIs & Integration: HTTP APIs, gRPC * Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform. Key Responsibilities: * Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems. * Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services. * Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI. * Conduct model experimentation, A/B testing, and performance analysis to guide production deployment. * Optimize and refactor existing systems for performance, scalability, and reliability. * Ensure data accuracy, integrity, and quality through automated validation and monitoring. * Participate in code reviews and uphold engineering best practices. * Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring. Requirements: Must Have * 3+ years of experience as a professional software or machine learning engineer. * Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). * Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. * Experience working with systems at scale and deploying to production environments. * Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda. * Strong understanding of ML model trade-offs, scaling considerations, and performance optimization. * Bachelor’s in Computer Science or equivalent professional experience. Nice to Have * Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration. * Experience with feature stores, model serving & monitoring platforms, and experimentation systems. * Familiarity with large-scale system design for ML. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $T103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. * Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees * 12 weeks paid parental leave * Short-term/long-term disability plans * 401k/RSP matching * Onboarding stipend for home office peripherals + accessories * Learning & Development allowance * Learning & Development programs * Quarterly stipend for Wellness, WiFi, etc. * Mental Health support & resources * Free subscription to the Scribd Inc. suite of products * Referral Bonuses * Book Benefit * Sabbaticals * Company-wide events * Team engagement budgets * Vacation & Personal Days * Paid Holidays (+ winter break) * Flexible Sick Time * Volunteer Day * Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. * Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ___ Want to learn more about life at Scribd? We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.