Language Partner Jobs

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

About Us: Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community-driven. We’ve already proven that high-quality AI data can be a vehicle for economic opportunity. Now, we are looking for a visionary builder to help us answer our next big moonshot: What are the next frontiers of dignified digital work that underserved communities can perform via a mobile phone, for which the global market is ready to pay fair and ethical wages? We aren't looking for a manager; we are looking for a founder-at-heart. As an Entrepreneur in Residence, you will be given the resources, the infrastructure, and the mission-critical "problem statements" to experiment, fail fast, and eventually scale a new business vertical from scratch. This is a high-autonomy, high-impact role designed for someone who thrives in the "chaos" of early-stage discovery. The ideal candidate would have previously founded a startup or were a member of the core founding team (first 5 employees) of a 0-to-1 venture. You know exactly what it takes to build something out of nothing. If you're excited about closing complex deals that directly fund dignified work for underserved communities, and want to shape GTM strategy at a mission-driven company, we'd love to hear from you. Key Responsibilities Moonshot Experimentation : Taking raw hypotheses about digital labor—ranging from micro-services to creative digital tasks—and turning them into functional pilots Market Validation: Identi

The Team MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of either our Dublin or Cork office or remotely in Ireland. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Build for reliability, making services and infrastructure avail

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineerin

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure g

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community driven. Karya is seeking a Customer Success Lead to own revenue growth across our largest and most strategic accounts. This role sits at the intersection of enterprise sales, AI infrastructure, and social impact — structuring and driving complex deals with enterprises, government bodies, and research institutions, to serve our communities better. The ideal candidate combines deep enterprise sales experience with the ability to sell technical AI/ML solutions to both business and technical stakeholders. You will lead full-cycle sales from prospecting through close and expansion, build trusted C-suite relationships, and bring sales discipline to a high-growth team. If you're excited about closing complex deals that directly fund dignified work for underserved communities, and want to shape GTM strategy at a mission-driven company, we'd love to hear from you. Key Responsibilities Enterprise Sales & Account Ownership Own and drive relationships with Karya's key prospects and customers across enterprise and research sectors. Lead full-cycle enterprise sales — from qualification and deal strategy through close, renewal, and expansion. Navigate complex procurement processes including vendor empanelment, compliance, and legal reviews. Develop and execute comprehensive account strategies to drive net-new revenue and long-term partnerships. Pipeline & Revenue Manage

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES Benchmarking : Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). DevEx Improvement : Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. Tool Development : Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. System Profiling : Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. Monitoring & Observability : Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. Continuous Integration : Automate performance

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community-driven. About the Role Karya is seeking a creative and detail-oriented Content Developer to join the Karya Learn Team . In this role, you will translate instructional blueprints into clear, engaging, and accessible learning materials designed for adult learners with varying literacy and digital skill levels. You will work closely with the Instructional Designer and Head of Learning to bring learning modules to life—writing scripts, exercises, and assessments that make digital skilling intuitive and motivating. The ideal candidate has strong writing and editing skills, an eye for storytelling, and a passion for making learning simple, inclusive, and mobile-first. Location & Reporting This is a hybrid role based in Bengaluru. Candidates must be based in or willing to relocate to Bengaluru. This role reports to the Associate Head of Learning and works closely with the Instructional Designer and design team Key Responsibilities Develop engaging learning content, scripts, and copy based on the instructional design framework provided by the Learn Team. Write clear and concise learner-facing text (video narration, quizzes, reflection prompts, activity instructions, and feedback). Adapt complex or technical concepts into easy-to-understand language suitable for low-literacy and first-time digital users. Collaborate with the Instructional Designer, Head of Learning, and design te

About Karya: Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community-driven. As a Senior Coordinator in the Talent Acquisition team, you will play a pivotal role in shaping a purpose-driven, high-performing organisation. They will be responsible for identifying, attracting, and hiring the best talent across diverse teams-from technology and engineering , to operations and delivery , to specialised leadership roles that drive Karya’s mission and growth. While hiring will be the core responsibility, you must also be comfortable taking on projects beyond Talent Acquisition when needed, contributing to broader people initiatives and organisational priorities with agility and ownership. Key Responsibilities : Manage end to end recruitment for roles across Tech, Sales, Product, Research and more. Source, screen, and shortlist high-quality candidates using multiple channels. Run interview processes smoothly, ensuring timely feedback loops. This includes conducting interviews when required and coordinating technical rounds. Work closely with hiring managers to define job requirements, competencies, and timelines. Drive a warm, inclusive, values-aligned candidate experience at every stage. Provide market insights and candidate availability trends. Support campaigns, events, and content that showcase Karya as an employer of choice. Maintain recruitment trackers, dashboards and databases and actively work towards imp

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge . Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. You will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines Work with massive datasets to develop bo

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community driven. We are seeking a Head of Finance to lead all aspects of financial management at Karya. This role is pivotal in ensuring financial sustainability, operational excellence, and trust in our systems—especially as it relates to ensuring fair and timely compensation to the thousands of rural workers we serve. The ideal candidate will bring strong expertise in financial operations, compliance, and revenue management, with a deep appreciation for the social impact space. This is a hands-on leadership role that combines strategic thinking with execution and ownership. Key Responsibilities: 1. Financial Strategy & Budgeting - Lead annual budgeting and financial planning processes aligned with Karya’s mission. - Provide leadership with visibility into cash flow needs, project burn rate, and funding gaps to support timely decision-making. - Drive cost efficiency and strict budget adherence across departments. - Provide financial insight and analysis to support strategic decision-making. - Ensure transparency and accountability in use of funds. 2. Worker Payments Management - Own the end-to-end process of disbursing timely and accurate payments to thousands of Karya’s field workers. - Build scalable, tech-enabled payment systems that are auditable and transparent. - Work closely with the Operations and Tech teams to ensure seamless financial integration with worker data. 3. R

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Manager, Software Engineering (Technical Owner), to lead our Artificial Intelligence (AI) focused team. The ideal candidate has commercial experience with Large Language Modules (LLMs). Although this is a manager role, the expectation is that this individual will be spending at least 50% of their time directly contributing to the software. AI is an important driver for the future of Litmos as we continue t

Overview: Guidepoint's Market Research Team is Survey Fieldwork Specialist to help scope feasibility, conduct outreach and recruit respondents for online quantitative global market research studies. This position would be expected to work hours aligned with US-based colleagues on the East Coast. This project is an individual contributor role and will not include people management responsibilities. This can be a hybrid position out of one of our offices in India (Mumbai, Pune) or remote. What You’ll Do: Send outreach to survey respondents to invite them to complete custom surveys for Guidepoint’s market research team Schedule and tailor initial outreach and reminders to help maximize response rates, refining language and timing to ensure respondents across the globe/within different industries are appropriately connected with relevant research opportunities Search for and design outreach lists on a project-by-project basis, collecting specifications from project managers and analysts and ensuring high-quality, relevant individuals that would pass screening criteria are included in project outreach Coordinate with custom recruitment partners, both internally and externally, to collect additional sample for projects as needed Investigate, troubleshoot, and provide recommendations for projects fielding more slowly than expected Monitor and respond to internal and client requests for custom quantitative survey projects, collecting necessary requirements and inputs to provide timely and accurate pricing and feasibility to conduct online survey research Search databases of current respondents and past projects, along with coordinating with internal and external custom recruitment partners, to assess Guidepoint’s reach for specific audiences of interest and necessary price points to meet Guidepoint and client needs Ask questions, coordinate with research analysts and team leads, and use expertise from past projects to help recommend audience designs that will

Job Description Role Summary The Managed Services Analyst role provides excellent customer service to both internal and external customers to assist with products or services provided by GHX. This role provides administrative process support for routine tasks. This individual will have a passion for customer service and performance excellence. In addition, this role will demonstrate excellent verbal and written communication, analytical, problem-solving, project management and coordination skills, as well as the ability to develop and maintain strong business relationships both internally and externally. This position requires effective time management skills, thorough attention to detail, ability to cross-train peers, and a high level of integrity. Required Skills Strong English language and comprehension skills with clear and effective verbal and written communication Ability to self-learn based on reviewing passed resolutions and feedback from team Ability to identify learning opportunities and self-educate where resources and opportunities are Ability review process and recognize inefficiencies and highlight it to leaders and partner in execution as required Ability to recognize problems, gather information, and escalate to leadership when Must be able to follow documented process and detail Strong accountability and integrity due to sensitive nature of information Strong customer support Grow and adapt to changing guidelines or Prioritize, multitask, and carry out projects correctly in a timely Proactively work with limited direction and/or Demonstrate the ability to exercise independent judgment and Internet savvy and computer literacy with proficiency in all Microsoft Office applications Preferably exposed to Salesforce environment for case handling. Roles & Responsibilities Provide support for external customers via email for assistance with questions, education and resolution of problems. Handle daily case work while meeting predetermined KPI and QA Acc

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you’ll be doing: Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads. Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. Perform root-cause analysis of failures in large distributed environments Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster. Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. What we ne