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Job DescriptionData Science & Analysis - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field., • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering., • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently., • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations., • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail., • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely., • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness., • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions., • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly., • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models., • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R., • Data Querying: advanced SQL for complex data extraction and manipulation., • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn., • Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques. Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment., • Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.

Full-time Description Binary Defense is seeking a talented Data Scientist / Software Engineer to join our team in a dual-discipline role bridging applied data science and production software engineering. This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, from hypothesis to deployed service running in our production environment supporting MDR operations and the NightBeacon product suite. Responsibilities • Design, build, and ship production-grade data and ML systems that operate against large-scale cybersecurity telemetry, including endpoint, network, identity, and cloud-derived signals., • Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets, and translate findings into deployable software., • Develop, test, and maintain backend services, APIs, and data pipelines that integrate ML models and analytics into Binary Defense products and SOC tooling., • Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms., • Own code quality across the stack — write clean, well-tested, reviewed code; participate in design reviews; and contribute to architectural decisions affecting data and ML systems., • Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps)., • Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients., • Develop data-driven solutions that ship — not prototypes that stall. Requirements Data Science • Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience., • At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications., • Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML., • Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches., • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores., • Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar). Software Engineering • At least 3 years of experience writing production software, with code shipped to real users in a team setting., • Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript)., • Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale., • Experience designing and building REST or gRPC APIs and the services behind them., • Strong with relational and NoSQL database design, query optimization, and schema evolution., • Proficient with Git, modern code review workflows, and writing unit and integration tests., • Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts., • Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent)., • Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services., • Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use. Preferred • Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution., • Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML., • Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management., • Experience operating in an Agile or continuous-delivery environment., • Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly., • Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response., • Background or prior role in threat intelligence, security research, security engineering, or SOC analysis., • Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines. About Binary Defense Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture. For more information, visit our, check out our, or follow us on. Binary Defense offers competitive medical, dental and vision coverage for employees and dependents, a 401k match which vests every payroll, a flexible and remote friendly work environment, as well as training opportunities to expand your skill set (to name a few!). If you’re interested in joining a growing team with great perks, we encourage you to apply!

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a principal machine learning engineer to join our core machine learning platform engineering team. In this role, you will partner closely with the AI/MLE leadership team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry’s AI/ML solutions, including the Instant Quoting Engine® and other AI/ML products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. Responsibilities: • Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams., • Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills., • Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering., • Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines., • Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics., • Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization. Qualifications: • At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role., • A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience., • Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security., • Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc., • Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following:, • Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration., • Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation, • Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow), • Infrastructure as Code (IaC), especially Terraform, • REST API design and implementation, • Object oriented and functional programming in Python, • Multimodal data processing (e.g., combining text, image, and 3D data)., • Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis, • Containerization technologies (Docker and Kubernetes), • Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors, • Experience in the manufacturing, supply chain, or similar industries is a plus., • Must be a US Citizen or Green Card holder (ITAR) #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry 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 US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Texas Sports Academy is on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. As we continue to push the boundaries of sports technology, your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches. You will be responsible for designing, developing, and fine-tuning LLM systems that can offer personalized insights and performance recommendations based on data-driven analysis. Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You will work collaboratively with data scientists, software engineers, and domain experts to implement scalable AI solutions that drive innovation in our training programs. If you are passionate about harnessing the power of AI to transform the sports industry and have a strong foundation in NLP and machine learning, this is the perfect opportunity for you to make an impact. • Design and implement LLM systems tailored to the needs of athletes and coaches., • Optimize retrieval-augmented generation processes to improve the quality and relevance of AI-generated content., • Collaborate with cross-functional teams to define AI strategies and ensure alignment with business goals., • Conduct research on cutting-edge AI methodologies and integrate them into existing systems., • Monitor and evaluate system performance, making data-driven adjustments as necessary., • Mentor junior team members and help cultivate a culture of innovation within the department., • Document system architecture, processes, and best practices for future reference and team knowledge sharing., • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field., • Extensive experience with Large Language Models (LLMs) and retrieval-augmented generation systems., • Proficient in programming languages such as Python, with a strong understanding of data structures and algorithms., • Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries., • Experience with optimizing AI models for efficiency and performance., • Strong analytical and problem-solving skills with the ability to work effectively in a fast-paced environment., • Exceptional communication skills to articulate complex concepts to stakeholders and team members.

At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. If you are an Internal Candidate, please apply via our _. ---- To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of _ — helping you know what to expect from your experience here. ---- Guild is seeking a Senior MLOps Engineer. As a Senior ML Ops Engineer you'll be pivotal in designing and implementing infrastructure and tooling that allows teams to efficiently develop, deploy, and iterate on machine learning models and AI agents. Your contributions will enable rapid innovation, consistent reliability, and effective scaling of Guild's AI capabilities. This is a role that will be pivotal in establishing Guild’s ML / AI platform. • 5–7 years of experience in MLOps, DevOps, software engineering, or related fields., • Strong experience in building and maintaining scalable machine learning infrastructure and pipelines., • Expertise with cloud platforms (AWS, Azure, or GCP), particularly in managed AI/ML services., • Proficiency with containerization (Docker, Kubernetes) and orchestration tools., • Experience in MCP (model context protocol); any specific experience with Databricks MCP or AWS MCP is a plus, • Experience in model deployment frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.)., • Skilled in infrastructure-as-code tools like Terraform and familiarity with CI/CD automation (GitHub Actions, Jenkins)., • Deep understanding of ML lifecycle management, monitoring, version control, and experiment tracking tools (e.g., MLflow, Kubeflow, Weights & Biases)., • Strong coding skills, especially in Python, and familiarity with software engineering best practices., • Knowledge of monitoring, logging, and alerting systems for ML models in production., • Design, implement, and maintain platforms for seamless deployment, management, and monitoring of ML models and AI agents., • Develop and optimize CI/CD pipelines tailored specifically for AI and machine learning workflows., • Collaborate closely with data scientists, software engineers, and product teams to streamline ML model productionization., • Ensure infrastructure is scalable, secure, and adheres to best practices in reliability and observability., • Provide technical leadership in adopting best practices for model governance, versioning, testing, and validation., • Continuously improve platform performance, efficiency, and ease-of-use to accelerate development cycles., • Mentor team members on MLOps standards, practices, and emerging technologies. We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $190,000 - 220,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity. Posting Date: 5/28/26 *This role will stay open for a minimum of 3 days. Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile. By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit _. Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others. Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits: • Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO), • Access to a 401k to help save for the future, • Vacation policy to rest and recharge, • 8 days of fully-paid sick leave, to take the time to heal and or recover, • Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits., • Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services, • Education benefits and tuition assistance to help your future development and growth I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment. I understand and agree to Guild's use of my information in accordance with Guild's and, for applicants that are residents of the State of California, and .

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next. We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. Why You'll Love This Role You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems. You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers. On top of it all you will have fun. Cribl strives to be a great place to work for everyone. As An Active Member Of Our Team, You Will... • Design, train, and evaluate machine learning models across a range of research and applied AI initiatives, • Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements, • Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems, • Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation, • Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation, • Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team, • Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them, • This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones If You've Got It - We Want It • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of industry or research experience (Master's or PhD a plus), • Deep hands-on experience training and evaluating ML models, including language models, • Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow, • Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar), • Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques, • Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize, • Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders #LI-Tag #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity. Base Salary Range $185,000 - $215,000 USD Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at _.

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers’ bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows. Duties and Responsibilities: • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies., • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks., • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data., • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation., • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic)., • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation., • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic. Skills & Work Experience: • Professional Experience: 5–8+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks., • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows., • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn), • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data., • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms. Preferred: • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms., • Experience implementing Generative AI, LLM, or RAG-based solutions., • Experience supporting federal IT modernization or data transformation programs., • Familiarity with healthcare, insurance, or benefits administration data environments., • Experience applying data governance, privacy, and security best practices in AI/ML solutions. Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline. Master’s degree preferred. Equivalent professional experience will be considered in lieu of a degree. Clearance: Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance. If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including: Paid vacation & Sick leave Health insurance coverage Career training Performance bonus programs 401K contribution & Employer Match • 11 Federal Holidays

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Ads Content Understanding (ACU) is Reddit’s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: • The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources)., • Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics., • Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations., • Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs., • Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU’s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems). Responsibilities: • Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft., • Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices., • Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost), • Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products., • Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale., • Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models., • Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. Required Qualifications: • 7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads., • Demonstrated Staff-level technical leadership: has driven architecture decisions, standards, and design reviews across multiple teams, and has aligned PMs, DSs, and engineers on shared ML systems or platforms without direct people-management authority., • Excellent communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization., • Strong track record building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements). Experience with commercial or intent modeling is a strong plus., • Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs., • Deep experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code end-to-end., • Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: At HavocAI, you’ll be key in advancing autonomous mission planning by designing and optimizing reinforcement learning models for AI-driven platforms. You’ll collaborate across teams to integrate ML algorithms into robotic systems and rigorously test performance using simulation environments. If you have hands-on ML expertise, a strong foundation in reinforcement learning, and a passion for deploying mission-critical solutions, we invite you to join our innovative team.. Key Responsibilities: • Mission Planner and Agent Development: Design, develop, train, and optimize models tailored for mission autonomy applications, with a focus on implementing reinforcement learning and other optimization algorithms. These models will focus on high level coordination and strategy generation for AI-enabled platforms., • System Integration: Collaborate with robotics, systems engineering, and data science teams to integrate ML algorithms into autonomous platforms., • Simulation & Testing: Develop and maintain simulation environments (e.g., a Gym or PettingZoo) to rigorously test and validate model performance under various mission scenarios., • Performance Analysis: Analyze data from simulations and field tests, iteratively refining algorithms to enhance reliability, robustness, performance, and efficiency., • Research & Innovation: Stay abreast of the latest advancements in ML, RL, and autonomous systems; prototype innovative approaches and implement best practices., • Documentation: Maintain comprehensive documentation of experiments, code, and methodologies to facilitate team collaboration and reproducibility. Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field (advanced degree preferred)., • 3+ years of professional experience in machine learning with an emphasis on reinforcement learning and deep learning., • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or similar tools., • Hands-on experience with Gyms or similar simulation frameworks and familiarity with RL algorithms such as PPO, DDPG, TD3, SAC, or D-REX., • Solid understanding of algorithm development, optimization techniques, and simulation methods., • Proven ability to deploy and maintain ML models in real-world, mission-critical applications., • Excellent analytical, problem-solving, and communication skills, with a strong collaborative mindset., • Must be a US Citizen Preferred Skills: • Master’s or Ph.D. in a relevant technical discipline., • Experience working on autonomous systems, robotics, or collaborative autonomy projects., • Familiarity with additional simulation platforms (e.g., Gazebo, Unity, MOOS-IvP) and cloud computing environments., • Demonstrated track record of research contributions or publications in ML, RL, or deep learning., • Experience with CI/CD practices tailored for ML model development and deployment. Location: • This position will sit in the Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Generous Equity Package, • Generous work / home office Stipend, • Global Entry Re-Imbursement Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage. Arbol's Engineering team is seeking a Quantitative Python Engineer to help build the tools that support our innovative approach to climate risk and financial services. The ideal candidate will have a strong background in Python development, particularly with data-focused libraries like NumPy and Pandas, and a background in financial services, trading, or risk management.You’ll work on designing and implementing new features and building tools that directly support the business. We're looking for someone who can think critically, work autonomously, and communicate effectively across all of our teams. You'll collaborate with quants, traders, and product teams to deliver impactful solutions, contribute to architecture decisions, and help drive best practices across the engineering organization. Ideal candidates will bring at least three years of professional Python experience, a solid understanding of the software development lifecycle, and a genuine enthusiasm for learning and innovation. What You'll Be Doing Application DevelopmentDesign and implement new features for Arbol's risk management tools and trading platformsBuild and maintain Python libraries and frameworks used across the organizationDevelop APIs and microservices that integrate with external data providers and internal systemsCreate tools and applications for traders, risk managers, and senior managementBuild, test, deploy and maintain algorithms for pricing and risk managementWork with Arbol’s insurance and derivatives teams to perform business-critical analytics Writing Quality Code & Following Best PracticesWrite clean, testable, and well-documented code following industry standardsImplement and maintain automated testing suites using modern testing frameworksParticipate in code reviews and contribute to technical architecture decisionsChampion best practices in software development and design patterns Collaboration & InnovationWork closely with quantitative researchers, traders, and risk management teamsCollaborate with cross-functional teams to understand business requirementsContribute to technical roadmap planning and technology selections • Background in financial services, trading, or risk management, • 3+ years of professional Python development experience required, • 1+ years of hands-on experience with NumPy, Pandas, and the Python data ecosystem, • Strong experience building production applications and systems, • Solid understanding of software development lifecycle and agile methodologies, • Experience with version control systems (Git) and collaborative development workflows Technical Skills • Expert-level Python programming with deep knowledge of language features and best practices, • Strong familiarity with Python frameworks and open-source libraries, • Knowledge of PEP 8 and Python coding standards, • Experience with testing frameworks (pytest, unittest) and test-driven development (TDD), • Understanding of database systems and data modeling concepts, • Knowledge of software design patterns and clean code principles, • Computer Science degree or equivalent practical experience, • Experience as a Machine Learning Engineer or Quantitative Developer, • Knowledge of financial markets and instruments, • Familiarity with cloud platforms (AWS) and modern development tools, • Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus$140,000 - $180,000 a year Candidates for this role must be located in the United States. Essential Job Functions & Physical RequirementsAbility to sit for extended periods of time while working at a computer, with or without reasonable accommodationAbility to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner)Ability to view a computer screen for prolonged periods, with or without reasonable accommodationAbility to communicate effectively in person, by phone, and via emailAbility to occasionally stand, walk, bend, and reach within an office environmentAbility to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodationAbility to perform repetitive motions, such as typing or data entryAbility to maintain focus and attention while performing detailed tasks Interested, but you don’t meet every qualification? Please apply! Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement. AccessibilityArbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact _ BenefitsArbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup. Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge. Equal Opportunity Employer Arbol is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other legally protected status. Arbol participates in the E-Verify program to confirm employment eligibility. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Streamline Healthcare Solutions, we strive to build lasting and trusting relationships with our clients, and our employees set the bar. Our mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high-growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology. We Value: Collaboration, Innovation, Trust As the newest member of our AI Engineering team, you'll own the design and delivery of AI/ML solutions that drive measurable clinical and business outcomes across our SmartCare platform. With 10+ years in software engineering and at least 5 years delivering AI/ML solutions in production environments, you bring both architectural thinking and hands-on execution from data pipelines and LLM fine-tuning to MLOps and production deployment. You have demonstrated healthcare domain experience, a deep command of Azure AI services, and the ability to build responsibly in a HIPAA-regulated environment. If you're passionate about applying AI to behavioral health and want to make a measurable impact, let's talk! Applicants must be currently authorized to work in the United States on a full-time basis without current or future visa sponsorship. You Value: Communication, Integrity, Curiosity Spend your days: • Owning product-level AI solution design and delivery in collaboration with the AI Architect, • Building RAG pipelines using EHR data, claims, and clinical text using embeddings and vector search, • Developing, fine-tuning, and evaluating LLMs and classical ML models with robust guardrails, • Establishing and operating MLOps infrastructure, including experiment tracking, CI/CD, and drift monitoring, • Managing reliability, security, and cost for your product’s AI services, including SLOs and incident response, • Ensuring HIPAA compliance and responsible AI practices are embedded across development and operations, • Reviewing code and experiments with an emphasis on reproducibility - mentoring engineers and data scientists on the team, • Contributing reusable AI components back to the shared platform and leveraging GitHub and Microsoft Copilot to improve team productivity Show us your: • Bachelor’s degree in Computer Science, Information Technology, Health Informatics, or a related field, • 10+ years of software engineering experience with at least 5 years delivering AI/ML solutions in production environments, • 2+ years leading AI/ML initiatives or teams, • Healthcare domain experience in a clinical or revenue cycle management setting, • Hands-on experience with OpenAI or Anthropic models, including prompt engineering, function calling, and evaluation, • Strong Python and ML ecosystem fluency — PyTorch or TensorFlow, Hugging Face, LLM orchestration frameworks, and vector databases, • Hands-on Azure AI platform experience, including AI Foundry, Azure OpenAI, and Azure ML, • Proficiency in SQL Server and T-SQL using SSMS, and experience integrating AI services into .NET/C# applications, • MLOps experience with MLflow or equivalent, Docker, Kubernetes, CI/CD for ML, and monitoring for drift and bias, • Solid understanding of HIPAA, PHI/PII handling and de-identification, and Responsible AI practices, • Proficiency with Visual Studio and working familiarity with Microsoft Copilot and GitHub Copilot, • Refined communication, analytical and documentation skills – you thrive in a team-oriented environment, • Intellectual curiosity - a mind that’s always thinking about the best, most efficient, and cost-effective way to grow, • Outcome-focused, results-oriented mindset — you see challenges as opportunities and approach work with optimism Our team members enjoy: • Salary $170,000 to $185,000 based on experience and full suite of benefits, • An incredibly committed team of professionals who support and challenge each other, • Meaningful, high-impact work that directly improves patient care and healthcare technology Goldstone Partners is helping this dedicated organization find talented professionals who want to serve. Applications welcome for those who are US Citizens or hold a Green Card. Principals only, please. Applications for this role are managed exclusively through Goldstone Partners using official goldstonepartners.com email addresses.

At HomeVision, we’re enabling the home valuation and appraisal industry to efficiently value a $40 trillion asset class, bringing equity and transparency to the US housing market. We’re funded by Initialized Capital and seeing good traction and revenue growth. We are looking for a talented Frontend Engineer to help evolve our products and delight our customers. Strong empathy for our end users and an ability to think holistically about the product are essential to succeed in this role. What you’ll do: You’ll work on a modern React/Typescript and Golang stack, building workflow automation products for our core user base of home appraisal professionals. HomeVision engineers are empowered to work on the entire product, not just a specific layer of the stack. This could range from productionizing a valuation model to optimizing customer onboarding to building frontend data visualizations that communicate results in a humane, intuitive way. What you’ll bring: Strong experience in full-stack development on both backend and frontend systems and frameworks. Proven working experience in Unix/Linux environments and on distributed systems Ability to learn and master new programming languages and technologies. Bonus points: Experience in one or more of the following technologies: Go, Python, React/Typescript, Elasticsearch, and Docker. Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus. What we'll offer you: A competitive salary and a meaningful equity package Medical, Dental, and Vision coverage 401k Paternity/maternity leave Flexible vacation policy A high degree of autonomy and ownership of your work Support for your professional goals and learning within and beyond the company, through your manager and peers

Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes. Our Founders Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join Us Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. As a Solutions Architect, Customer Success at Fiddler, your mission is to ensure our customers achieve meaningful, measurable outcomes from their AI observability investments. You serve as both a technical expert and trusted advisor, bridging the gap between complex ML/LLM systems and real-world business value. By guiding customers through onboarding, building seamless integrations, and championing their needs across the organization, you help them operationalize trustworthy AI at scale while fueling Fiddler’s growth through successful adoption, renewals, and expansion. You’ll join a tight-knit, highly collaborative Customer Success Engineering team that partners closely with some of the world’s leading enterprise AI organizations. We operate remotely but stay deeply connected through constant communication, collaboration, and shared purpose. Our team thrives on knowledge sharing, peer learning, and collective problem solving; no one works in a silo. We celebrate each other’s successes, support one another through complex challenges, and take pride in helping our customers achieve real-world impact with Fiddler’s AI Observability platform. Every project is a team effort, and every win is shared. If you love working alongside smart, driven peers who genuinely care about both customer success and each other’s growth, you’ll feel right at home here. Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met. Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler. Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy. Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle. Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines. Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers. Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth. Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience. 2+ years of hands-on experience deploying, monitoring, or maintaining ML models in production environments. Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences. Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities. Demonstrated collaboration across cross-functional teams—Product, Engineering, and Delivery—to drive customer outcomes. A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value. Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility. Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems. Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP). Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real-time scoring via REST APIs). Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent-based systems. For candidates in the San Francisco Bay Area, this role is a hybrid position requiring working from our Palo Alto office 3 days a week. US locations $160,000-$200,000 + equity San Francisco, New York City & Seattle $190,000-$230,000 + equity Competitive pay + equity Unlimited PTO Premium health, dental & vision (100% premium coverage for employees) 401(k) plan Monthly fitness reimbursement Paid parental leave Palo Alto HQ Vibes Annual Caltrain pass Monthly in-office massages Fastrak reimbursement Lunch provided Mon–Thurs The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors. Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process. Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) 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 premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) 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. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. 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. We provide 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

Job Link: _ Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision. • •Master’s or Ph.D. in Computer Science or Engineering, • •Strong foundation in machine learning and deep learning, • •Experience in computer vision techniques, • •Minimum of 2-3 years of relevant experience, • •Proven track record of successful projects, • •Strong analytical and critical thinking skills, • •Excellent communication and presentation abilities, • •Passion for problem-solving and innovation Pay scale: starting $110k/year

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred., • Excellent stakeholder communication and leadership skills. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology Training customers (alongside the engineering teams) by organising workshops and training sessions Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry Experience with AI Embedded Applications Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: Bachelor's degree in engineering, computer science, or a related field Great coding skills in Python, C/C++ Knowledge of ML/AI Framework(s): TensorFlow, PyTorch Knowledge of Embedded Development Kit(s), and an AI background Computer architectural knowledge is a big advantage Strong analytical and problem-solving skills Flexibility and outstanding communication & customer service skills WE OFFER YOU: A dynamic working environment around a fearless engineering culture, Ambitious teams with the freedom to innovate, A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default. We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions. We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining. • Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals., • Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback., • Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit., • Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic., • Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces., • Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops., • Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows., • Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving., • Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact., • Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs., • 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models., • Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar., • Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining., • Experience building data pipelines and working with large-scale datasets., • Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation., • Experience shipping production-quality software, preferably in Python and/or Go., • Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners., • BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience., • Experience in the following areas is a plus:, • Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems., • Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls., • Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar., • Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 - $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page () to learn more, and visit our work page to get an idea of the type of work we do (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n

ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction. Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building. Fantastic people are the key to our success. As a distributed, primarily remote workforce, we’re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We’re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious. ButterflyMX is seeking a Senior Full Stack Computer Vision Engineer to join our engineering team! This role is ideal for a hands-on generalist who combines strong full stack development skills with a genuine passion for machine learning. The ideal candidate has real-world experience training and fine-tuning models, can point to tangible projects demonstrating their ML work, and thrives when building end-to-end solutions—from data pipelines to deployed features. You'll work across the stack to integrate intelligent capabilities into our access control products, collaborating closely with cross-functional teams to deliver impactful solutions. This role offers the opportunity to shape how machine learning is applied across ButterflyMX's products in a fast-paced, collaborative environment. If you're a builder at heart with a passion for ML and a track record of shipping real solutions, we'd love to hear from you! Design, train, and deploy machine learning models that enhance ButterflyMX products and user experiences. Build and maintain full stack applications and services that integrate ML capabilities into production systems. Develop and optimize data pipelines for model training, evaluation, and inference. Fine-tune existing models and adapt them to ButterflyMX-specific use cases and constraints. Collaborate with product management and engineering teams to identify opportunities where ML can solve real customer problems. Evaluate and implement appropriate ML approaches, balancing model performance with practical deployment considerations. Contribute to backend and frontend development as needed, ensuring seamless integration of ML features. Stay current with ML research and techniques, bringing relevant innovations to the team. Participate in code reviews, architectural discussions, and an agile development environment. Strong proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Demonstrated experience training machine learning models from scratch or fine-tuning existing models—must be able to point to specific projects (professional work or personal/open-source projects) as proof. Solid full stack development experience, including backend services and APIs. Hands-on experience with the complete ML lifecycle: data preparation, model training, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments. Strong understanding of software engineering best practices, including version control, testing, and code review. Ability to work as a generalist, comfortable moving across the stack and tackling varied technical challenges. A genuine passion for machine learning, evidenced by personal projects, research exploration, or community involvement. Experience with computer vision applications and image/video processing. Familiarity with edge deployment and optimizing models for resource-constrained environments. Experience with MLOps tools and practices for model versioning, monitoring, and retraining. Ability to read, understand, and discuss ML research papers. Background in IoT, embedded systems, or real-time applications. Contributions to open-source ML projects or a portfolio of personal ML projects. Experience with REST and GraphQL architectures for integrating ML services into applications. Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1 401(k) plan with a match 10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost) Short and Long Term Disability (ButterflyMX covers 100% of the cost) Paid Family Leave Employee Assistance Program Quarterly self-care stipends Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance And more! ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You must have the authorization to work in the US to become an employee. We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

_ builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more. Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines. AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size. Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes. What You'll Do As an intern at Realm, you'll work alongside full-time engineers on real features that run at active mine sites - not toy projects or internal tooling. Contribute to our TypeScript backend serving real-time mining operations data Build and ship features end-to-end Work on applied AI features using LLMs (Claude, GPT, Gemini) for intelligent analysis and automation Contribute to computer vision pipelines leveraging LLMs and services like AWS Rekognition and TensorFlow Deploy code to production via Kubernetes with CI/CD Interact directly with users and translate real-world operational challenges into features Work closely with our CEO -- former CTO and Cofounder of Blend Labs -- and a senior engineering team invested in your growth Tech Stack Backend: TypeScript, Node.js, Prisma, PostgreSQL Frontend: TypeScript, React AI/ML: LLMs, AWS Rekognition, TensorFlow, OpenCV What We're Looking For Must-Have Qualifications Currently a Junior or Senior pursuing a BS in Computer Science or a related field Strong CS fundamentals - data structures, algorithms, and system design Proficiency with agentic coding tools (Claude Code, Codex, or Cursor) Comfort working across the stack -- you don't need to be an expert in everything, but you're willing to figure things out Ability to work independently and come up to speed without heavy hand-holding US citizen or permanent resident, based in the US Nice-to-Have Qualifications Prior internship or project experience in a production codebase TypeScript experience AI or computer vision experience What You'll Get Competitive paid internship compensation Real ownership: your code ships to production mines Direct mentorship from a senior engineering team with deep startup and industry experience A front-row seat to building AI infrastructure for a critical global industry Interview Process Engineering quiz (async, ~60 min) — A 10-question code reading and analysis assessment. You pick your language (TypeScript, Python, Go, or C++) and answer questions covering code comprehension, bug detection, performance analysis, and system design. No trick questions — we're testing how you think about real code. Live coding interview (2 x 1-hour sessions) — Algorithmic problem solving and a simulated development task. Behavioral interview with senior leadership — Culture fit, working style, and past experience.

_ builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more. Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines. AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size. Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes. What You'll Do You'll work alongside senior engineers on real features that run at active mine sites — not internal tooling or throwaway projects. We expect new grads here to ramp quickly and take on meaningful ownership within their first few months. Build and extend our TypeScript backend serving real-time mining operations data Ship features end-to-end: from database to API to React UI Work on applied AI features using LLMs for intelligent analysis and automation Contribute to computer vision pipelines leveraging AWS Rekognition, TensorFlow, and OpenCV Deploy to production with CI/CD, with increasing ownership over time Interact directly with users and translate real-world operational challenges into features Work closely with our CEO and a senior team invested in making you great Tech Stack Backend: TypeScript, Node.js, Prisma, PostgreSQL, GraphQL Frontend: TypeScript, React AI/ML: LLMs, AWS Rekognition, TensorFlow, OpenCV Infrastructure: Docker, Kubernetes, DigitalOcean, AWS What We're Looking For Must-Have Qualifications BS in Computer Science or a related field (completed or completing in 2025) Strong CS fundamentals — data structures, algorithms, and system design Proficiency with agentic coding tools (Claude Code, Codex, or Cursor) and an AI-first development style Comfort working across the stack Ability to work independently and ramp without heavy hand-holding US citizen or permanent resident, based in the US Nice-to-Have Qualifications Prior internship experience working on a production codebase Strong TypeScript proficiency AI, computer vision, or ML experience Startup or fast-paced team experience What You'll Get Competitive salary and equity Real ownership from day one: your code ships to production mines Direct mentorship from a senior team with deep startup and industry experience A front-row seat to building AI infrastructure for a critical global industry Interview Process Engineering quiz (async, ~60 min) — A 10-question code reading and analysis assessment. You pick your language (TypeScript, Python, Go, or C++) and answer questions covering code comprehension, bug detection, performance analysis, and system design. No trick questions — we're testing how you think about real code. Live coding interviews (3 x 1-hour sessions) — Algorithmic problem solving and a simulated development tasks. Behavioral interview with senior leadership — Culture fit, working style, and past experience. Reference checks

WHO ARE WE? _ with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in _, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. YOUR ROLE You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily. What You'll Do • Build and deploy ML models serving 100M+ predictions daily, • Develop ranking algorithms that balance relevance, diversity, and revenue, • Implement real-time personalization features with <50ms latency requirements, • Run A/B tests and analyze model performance against business KPIs, • Optimize models for production (latency, throughput, cost), • Collaborate with product teams to identify new personalization opportunities What We're Looking For • 5+ years building production ML systems, • Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank), • Proficiency in Python and ML frameworks (TensorFlow/PyTorch), • Experience with distributed computing (Spark, Ray), • Track record of shipping models that improve business metrics, • BS/MS in Computer Science, Machine Learning, or related field Compensation: $160,000 - $220,000 Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking a highly experienced Senior Software Engineer to design, develop, and upstream-enable Cornelis Networks’ AI communication middleware. This role focuses on distributed AI workloads and enabling/optimizing collective communication libraries (e.g., NCCL/RCCL) over Cornelis Networks’ interconnects. Key Responsibilities • Design and implement performance-critical features for CCL enablement on Cornelis Networks’ fabrics., • Optimize distributed training performance across multi-node, multi-GPU configurations., • Improve GPU communication paths including GPU-direct transfers, IPC, and CPU/GPU synchronization., • Profile distributed AI workloads and identify bottlenecks across the software and hardware stack., • Tune AI frameworks such as PyTorch Distributed, TensorFlow/XLA, JAX, DeepSpeed, and Megatron-LM., • Develop benchmarks and microbenchmarks aligned with real model performance., • Contribute upstream to AI communication and distributed training projects., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Prototype and validate Ultra Ethernet capabilities for AI collective communication., • Provide technical input for deployment considerations and performance validation., • Collaborate with kernel/driver, switch, performance, and systems teams., • Support advanced escalations by analyzing traces and providing robust fixes. Minimum Qualifications • 8+ years of experience in high-performance systems programming in C/C++ on Linux., • Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL., • Ability to optimize distributed training performance using profiling and tracing., • Understanding of collective communication concepts and topology awareness., • Experience delivering production-quality code., • Open-source contributions in relevant areas. Preferred Qualifications • Experience with AI frameworks such as PyTorch Distributed, DeepSpeed, and Megatron-LM., • Familiarity with libfabric/OFI, UCX, and RDMA concepts., • Experience with RoCEv2 and Ultra Ethernet., • Experience building cluster-scale performance test infrastructure. Location: This is a remote position for employees residing within the United States. We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job DescriptionAI & Machine Learning Engineer - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning., • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment., • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques., • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows., • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms., • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. What you'll be doing in the role • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy., • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness., • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness., • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down., • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras., • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers., • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain., • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this job market also, our candidates are able to achieve multiple job offers and $100k+ salaries. We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) - 2023/2022 and at Gartner Data Analytics Summit (Florida) - 2023. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, it project work on the technologies needed highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle knowledge of statistics, gen ai, llm, python, computer vision, data visualization tools excellent written and verbal communication skills. Preferred skills: NLP, text mining, tableau, powerbi, databricks, tensorflow. For java/full stack/software positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, it highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle project work on the skills knowledge of core java, javascript, c++, software programming spring boot, microservices, docker, jenkins, github, kubernates and rest api's experience excellent written and verbal communication skills. If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this job market also, our candidates can achieve multiple job offers and $100k+ salaries. We regularly interact with the top tech companies to give our candidates a competitive advantage. All positions are open for all visas and US citizens. We at Synergistic understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab etc to name a few. Currently, we are looking for: • Entry-level software programmers, • Java full-stack developers, • Python/Java developers, • Data analysts/Data scientists, • Machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and are looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills: • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Project work on the technologies needed, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of statistics, gen AI, LLM, Python, computer vision, data visualization tools, • Excellent written and verbal communication skills Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow For Java/full stack/software positions required skills: • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Project work on the skills, • Knowledge of core Java, Javascript, C++, or software programming Spring boot, microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience, • Excellent written and verbal communication skills If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements. No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates.