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Senior AI Engineer New York, NY - 4 days onsite $250,000 - $275,000 + bonus; $400,000-$500,000 total THE COMPANY Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • BS/MS degree in Computer Science, Machine Learning or a related field., • Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Background in Software Engineering required., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience in smaller teams, scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer

Job Title: Software Engineer - Media Platform (Python/AWS) Location: New York, NY Work Mode: Onsite Responsibilities: • Develop and maintain highly scalable, high performance and highly available systems., • Write well tested, efficient, and readable code., • The code should also be strongly structured with a view to reusability., • Ensure that all deliverables follow best practices around source control, CICD., • Manage individual project priorities, deadlines, and deliverables., • Ensure that solutions are in line with the other deliverables of the team and produce documentation so that others learn from and contribute to the work. Attend and contribute to meetings; complete tasks as assigned by supervisor. To be successful in this role, the right software developer will have: • Bachelor’s degree in computer science or a related discipline or equivalent experience., • 3+ years writing production code in Python. Familiarity with C# a plus., • 3+ years production experience with AWS. Certifications a big plus, • Proficiency in designing and interacting with NoSQL databases (DynamoDB)., • Experience with relational databases (MSSQL, PostgreSQL) a plus., • Proficiency building serverless systems with ephemeral compute (e.g., AWS Lambda, ECS) and orchestration (e.g., AWS Step Functions)., • Proficiency building event-driven architectures with message queues, topics., • Proficiency identifying applicability of design patterns and implementing them., • Proficiency using AI assisted coding tools and agents such as Cursor, Claude Code, or CoPilot., • Solid understanding of source control (git), unit testing, test driven development, CICD., • Knowledge of defining, packaging, and deploying cloud resources in CDK strongly preferred., • Knowledge of deploying and managing services in Kubernetes is strongly preferred., • Knowledge of building AI apps on platforms such as Bedrock/Vertex AI/Azure AI and familiarity with frameworks and tools such as LangChain, vector databases, PyTorch/TensorFlow is strongly preferred., • Familiarity with the agile process (stand ups, planning, estimating, and demoing), • Excellent written and verbal communication skills. Mandatory Skills : Python, AWS Lambda

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $11,00 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning).

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have: Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

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.

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. * Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. * Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. * Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. * Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. * Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. * Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. * Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: * 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. * Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). * Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. * AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. * Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. * Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP. Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe,

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The primary role of the Software Engineer 2 is to drive research, modernization, and innovation initiatives across mission-critical systems. This role focuses on evaluating existing production environments, identifying modernization opportunities, and delivering rapid, validated solutions through structured trade studies and short-duration experiments. You will collaborate directly with mission stakeholders to assess system gaps, design fail-fast experiments, and lead proof-of-concept development efforts that influence long-term architectural direction. Your work will directly impact modernization strategies, cloud adoption, and enterprise re-architecture efforts. Limited telework available Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). • Engage with mission stakeholders to identify operational challenges and modernization opportunities, • Conduct trade studies and produce detailed technical research reports with actionable recommendations, • Design and execute short-duration (one-week) fail-fast experiments to validate feasibility, • Lead development of proof-of-concept solutions within six-week timelines, ensuring weekly demonstrable, • milestones, • Provide accurate time, scope, and resource estimates to maintain mission schedules, • Collaborate with cross-functional teams to integrate successful prototypes into operational environments, • Plan and support replatforming, rearchitecting, and refactoring of monolithic applications into cloud-native, • solutions, • Apply secure authentication, authorization, and PKI principles within modernized architectures, • Continuously evaluate emerging technologies and propose innovative mission-aligned solutions, • TS/SCI with agency appropriate poly, • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience, • Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture, • Strong proficiency in Java, Python, and JavaScript (ReactJS), • Experience with AWS services including EC2 and S3, • Hands-on experience with REST-based services and modern API development, • Experience with the Atlassian Tool suite of software development and management products (Confluence, • and Jira), • Familiar with SAFe Agile principles, methodologies, and best practices, • Experience with system administration of solutions related to metrics and monitoring, including Splunk, • Experience configuring and sustaining VMware ESXi/Virtualization environments, • Experience with IaC principles and automation tools including Ansible, • Experience with containerization and orchestration tools such as Docker and Kubernetes, • Strong understanding of authentication and authorization frameworks including OAuth2 and OpenID Connect, • Experience working with PKI and certificate management, • Experience working in Agile development environments, • Must meet LCat Capabilities Requirements, • Experience conducting modernization trade studies and architectural assessments, • Experience with graph databases such as Amazon Neptune or Neo4j, • Familiarity with AI/ML tools such as TensorFlow, PyTorch, or Hugging Face, • Experience with GoLang, • Experience with Grafana, • Experience with identity and access management platforms such as Keycloak, • Experience with CI/CD tools including Jenkins, GitLab CI, or GitHub Actions, • Familiarity with build tools such as Maven, • Experience designing scalable, cloud-native architectures for mission systems, • Ability to interpret ambiguity and translate high-level needs into technical solutions, • Comfortable guiding junior developers and organizing tasking within collaborative teams, • Experience working in fast-paced, evolving mission environments, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection Services, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our customers use Chariot, our flagship product, to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise, if you push the boundaries of your own capabilities, and if you are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: • Everything as Code, • Cloud-neutral development, • User-centric design, • Hexagonal, event-driven, microservices architecture, • Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what else we’re looking for: • 6–8 years of hands-on development experience, • Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust, • Strong background in relational database design, architecture, operation, and performance, • Proficiency in Python, • Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes, • Proven experience with cloud architecture: commercial cloud, OpenStack, • Experience in the design and development of performant, scalable services, • Ability to work cross-functionally and participate in or lead design discussions, • Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment, • Experience in knowledge sharing, mentoring, and coaching (e.g., onboarding, code reviews, leading junior engineers), • Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies, • Driven, self-directed personality, • Strong sense of mission and commitment to making a difference, • Bachelor’s degree in CS or related field, or similar experience, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of: • Professional experience designing Postgres databases and optimizing query performance on them, • Familiarity with non-relational database design and architecture, • Understanding of synchronous/asynchronous programming and concurrency, • Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow), • Experience designing RESTful, gRPC, or GraphQL APIs, • Understanding of networked and distributed computing, • Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ), • Experience with workflow automation The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at . Striveworks is a participating employer in the E-Verify program.

Role Information: • Job Title: Jr. Full Stack Developer, • Work Location: Remote, • Employment Type: Full-time, • Employment Status: Exempt, salaried, • Visa sponsorship is not available for this position., • Must reside in the United States., • We are not accepting applicants for remote workers in California, Illinois, and New York at this time. Applications from any of these states can not be considered.Compensation:, • $106,878 - 132,206 based on number of years of experienceWe are looking for a motivated and technically sharp Jr. Full Stack Developer to join our growing engineering team in the utilities and energy sector. In this role, you will contribute to the design, development, and maintenance of scalable, data-driven applications that power critical infrastructure solutions. You'll work closely with cross-functional teams including R&D, operations, and client-facing groups to deliver AI-enhanced software that makes a real impact on how energy is monitored, managed, and optimized. Key Responsibilities: • Independently write, test, and deploy clean, maintainable code across both front-end and back-end systems, • Design and consume RESTful APIs that support real-time data exchange between utility systems and end-user applications, • Integrate AI and machine learning models into existing and new application workflows, • Troubleshoot and resolve technical issues across the full application stack with minimal supervision, • Participate actively in sprint planning, stand-ups, and retrospectives as part of an agile development team, • Communicate technical decisions and trade-offs clearly to both technical peers and non-technical stakeholders, • Adapt quickly to evolving project requirements and emerging technologies in the energy/utilities space, • Collaborate with R&D and operations teams to prototype, test, and iterate on new features Required Qualifications:, • Successfully pass background check for cybersecurity site access., • 2–5 years of professional Full Stack Development experience with a proven track record of delivering production-ready applications, • 1+ years of experience in or alongside an R&D environment, with the ability to translate research concepts into functional software, • 2+ years of hands-on proficiency in Python, .Net Core, Go, React, and XJS, • Demonstrated experience with AI/ML technologies, including model development, LLMs/generative AI, or AI-powered analytics, • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams, • Ability to manage multiple priorities in a fast-paced, agile environment Preferred Qualifications:, • Experience with predictive monitoring systems, condition-based monitoring, or real-time alerting platforms — particularly in utility or energy contexts, • Master's degree in Computer Science or a related technical field, • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar, • Experience with SCADA systems, DERMS, or other utility-specific platforms, • Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google Vertex AI), • Understanding of data pipelines or time-series data management Other Qualifications:, • Successfully pass background check for cybersecurity access requirements.Cybersecurity Role Expectations:, • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role., • Candidate is expected to maintain a cybersecure work environment.Physical Requirements:, • Must be able to sit and stand for extended periods of time., • Must be able to use hands to type, handle products, tools and navigate a computer keyboard., • Must be able to view computer screen for extended periods of time., • Specific vision abilities required by this job include close vision and distance vision.Benefits:, • Medical, Vision, Dental Insurance, • Health Savings Account with Employer contributions, • 401(k) with Employer match, • Short-term & Long-term Disability Coverage, • Accidental Death & Dismemberment Coverage, • Life Insurance Coverage, • 80 hours of paid PTO, • Eight paid holidays per year All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. • Learn more about Cutsforth here: ___, • Read our Mission & Values here: ___ Equal Employment Opportunity Statement: Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause. For Cutsforth's full Equal Employment Opportunity Policy, click here: ___

Sr. Engineering Manager, AI/ML Serving Platform The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon). Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include: • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second., • Production GenAI & LLM model inference stack for emerging use cases., • Model routing, deployment, monitoring. Kubernetes-based provisioning., • Feature fetching, caching, and logging What you’ll do • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity., • Set technical direction for the team based on company and org priorities, • Coach and develop talent on the team. What we’re looking for: • Experience managing platform engineering teams with many cross-organizational customers, • Experience leading the development of large-scale distributed serving systems, • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale, • Bachelor’s degree in Computer Science, a related field or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-AH2

AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer). Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, se

Who we are: Alignable is the largest online network of small business owners in North America, with over 10 million members. Our mission is to help entrepreneurs turn their relationships into a growth engine for their business. We're embarking on an exciting new chapter: transforming Alignable into the first relationship intelligence platform purpose-built for SMBs. Our vision is to become the system of record for SMB relationship data, using AI to help our members unlock new customers and opportunities through trusted referrals and warm introductions. At the center of this vision is our AI Networking Coach: an intelligent recommendation engine that continuously analyzes a member’s network and activity to surface the most valuable connections and actions. By turning relationships into actionable insights, Alignable empowers business owners to unlock the full potential of their professional networks and grow their businesses with confidence. If you're excited about the opportunity to shape the future of AI-powered products for millions of small businesses, we would love to hear from you. Why this role matters: As a Senior Product Manager at Alignable, you will be at the forefront of our AI transformation. Your work will shape how millions of small business owners leverage AI to connect, build relationships, and grow their businesses in the digital age. We're looking for a PM who has already been hands-on in leveraging AI to build innovative products. You've used tools like LLMs and code generation in your product work and understand deeply how the rapid evolution of AI is reshaping software development. In close collaboration with Product Design, Engineering, and Data Science, you will focus on infusing AI across our core offerings - from smart networking recommendations to conversational coaches to generative content creation. Your goal is to harness AI to deepen member engagement, satisfaction, and business growth. • Define the vision, strategy, and roadmap for AI-driven product initiatives in partnership with Product Design, Engineering, and Data Science, • Develop and launch AI-powered features in areas like intelligent recommendations, conversational AI, and content generation, • Collaborate with Product Design to craft intuitive, engaging user experiences that seamlessly integrate AI, • Partner with Data Science to productize AI/ML models using our stack (Python, TensorFlow, PyTorch, etc.), • Leverage LLMs, code generation, and emerging AI technologies to rapidly prototype and launch new capabilities, • Design experiments and interpret data to quantify the impact of AI products and drive iteration, • Influence key stakeholders across Product, Marketing, Sales, and Customer Success to align on AI priorities, • Evangelize AI best practices and contribute to thought leadership, • Champion responsible AI practices around transparency, fairness, privacy, and ethics, • Successful launch of AI-powered products that demonstrably improve engagement, revenue, and other key metrics, • Seamless integration of AI into core platform experiences, • Productive relationships with technical and non-technical partners, • Tangible contributions to Alignable's evolution into an AI-first organization, • Emerging thought leadership in AI product development for SMBs, • 5+ years of product management experience, with 2+ years building AI/ML-driven products preferred, • Hands-on experience leveraging LLMs, code generation, and productizing ML models, • Understanding of the evolving AI/ML landscape and its implications for product development, • Track record of launching successful 0-to-1 products, • Strong technical fluency and ability to partner effectively with AI/ML and Engineering teams, • Excellent analytical skills and experience with experiment-driven product development, • Entrepreneurial mindset and comfort with ambiguity, • Passion for helping small businesses succeed through technology, • Impact & Mission: Help millions of small businesses grow through trusted relationships while owning a pivotal moment in Alignable’s evolution toward AI-powered, product-led sales., • Team & Environment: Partner with a founder-led, cross-functional leadership team with deep experience in SMB, SaaS, and growth-driven businesses., • Compensation & Benefits: Competitive salary, meaningful equity, flexible work, comprehensive benefits, and long-term ownership upside.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

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,() 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

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.

Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. What You’ll Do • Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments)., • Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption., • Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers)., • Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry., • Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments., • Contribute to backend services (Java 21, Python, gRPC) and platform features., • Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): • 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles., • Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi., • Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued)., • Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases., • Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar)., • Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) • Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar)., • Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch)., • Experience with GitOps workflows (ArgoCD, Flux)., • Exposure to air-gapped or on-premises Kubernetes deployments., • Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog)., • Experience providing technical support or working directly with enterprise customers on infrastructure issues., • Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

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

Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators. Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely! This position is 100% remote anywhere in the US. Overview: We are currently seeking an enthusiastic and motivated Associate Software Engineer to join our Customer Engagement Solutions business line. In this role, you will have the opportunity to contribute to the development of modern communication industry products used across the globe. This position is perfect for someone looking to grow their skills and gain valuable experience in a collaborative and dynamic environment. The Associate Software Engineer will work on enterprise-grade applications using Java, Python and Angular. The role offers mentorship, hands-on experience, and exposure to modern development practices in a collaborative Agile environment. Familiarity with AI/ML technologies is welcomed but not required. What you will do: • Develop and maintain Java- and Python-based backend services and APIs. (35%), • Design, develop, and maintain scalable and reusable user interface components using Angular, ensuring high performance and responsiveness across web applications. (20%), • Participate in Agile practices and peer code reviews. (15%), • Assist in debugging, testing, and CI/CD pipeline maintenance. (10%), • Document technical designs and implementation details. (10%), • Collaborate with senior engineers on feature development and system improvements. (10%) What we are looking for: • Bachelor’s degree in Computer Science or related field., • Proficiency in Java/Python and object-oriented programming., • Familiarity with REST APIs, Spring Boot, Angular, JavaScript and SQL databases., • Strong communication and problem-solving skills., • Eagerness to learn and grow in a fast-paced environment. Nice to Have: • Exposure to AI/ML concepts through coursework or projects., • Experience with ML libraries (e.g., TensorFlow, scikit-learn) is a plus., • Knowledge of cloud platforms (AWS preferred)., • Familiarity with Git, Docker, and CI/CD tools. #LI-CA1 #LI-REMOTE The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the ___

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure)

About Contextual AI We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows. Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG), the foundational technique behind the context layer, connecting foundation models to current and relevant information. Backed by the industry's most forward-thinking venture capitalists, we're not just participating in the enterprise AI revolution, we're defining it. Join us in building a future where AI doesn't just answer questions, it transforms businesses. Job Overview Contextual AI is hiring a Forward Deployed Engineer to be part of the GTM team. This team is responsible for selling into Global 2000 organizations deploying generative AI solutions in production. As a Forward Deployed Engineer, you’ll be a trusted technical advisor and subject matter expert for our prospects and customers, understanding requirements, designing demos, and driving business value. You’ll accomplish this by working closely with customers to identify use cases, scope out needs, design pipelines, and help drive the adoption of Contextual AI’s technology. You will be a subject matter expert on AI industry trends and best practices. You will work directly with customers to align Contextual AI’s products to their top use cases. You must be ready for technical discussions with engineers, and demonstrate the value of Contextual AI in business discussions with directors and executives. You will help distill feedback from customers and help improve Contextual AI’s products while working with the product and engineering team. What you’ll do: • You will own the technical aspects of the sales cycle, driving the technology evaluation processes to highlight Contextual AI’s differentiation, clarify the business value to the customer, and ensure our customers’ success with our products, • You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders., • Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible., • Create and deliver specialized technical demos according to the customers., • Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team., • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions. What we’re seeking: • Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred)., • Experience working in enterprise SaaS, AI/ML, infrastructure, or similar industries in a technical capacity with end-customer engagement, • Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers)., • Proficiency with coding languages Python, Typescript or similar languages at a production level., • Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues, • Strong communication and presentation skills. Ability to demonstrate professional polish and a high level of technical credibility when speaking with both executives and engineers, • Self-starter and ability to operate independently and at high-velocity, • Clear customer empathy and intellectual curiosity Location: Mountain View, CA or remote within the USA Salary Range for California Based Applicants: $160,000 - $250,000 (actual compensation will be determined based on experience, location, and other factors permitted by law). Equal Opportunity Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

About BLEN BLENers are passionate about using technology to solve real-world problems. For over 20 years, we've been helping government agencies and businesses transform their digital experience. We bring fresh perspectives to every project, from modernizing legacy systems to building cloud-native applications to experimenting with technology that's just around the corner. We value building long and enduring partnerships to solve complex challenges by putting humans at the center of all the experiences. Our team thrives on turning tricky problems into solutions that are practical, accessible and performant. About this position As a Lead Software Developer at BLEN, you will play a crucial role in leading and mentoring our development team, including Senior Software Developers. You will be responsible for overseeing the technical direction of projects, making high-level architectural decisions, and ensuring the delivery of high-quality, scalable solutions. This position requires exceptional technical expertise across the full stack, strong leadership skills, and the ability to drive innovation in areas such as cloud services, AI, and emerging technologies. \n What we would like from you • Technical Leadership and Strategy, • Lead the overall technical strategy and architecture for complex, large-scale projects, • Make critical decisions on technology stack, frameworks, and methodologies, • Oversee and approve system designs and architectural choices made by team members, • Drive the adoption of new technologies and best practices across the development team, • Team Management and Mentorship, • Directly supervise and mentor a team of developers, including Senior Software Developers, • Conduct performance evaluations and provide career development guidance, • Lead technical interviews and make hiring decisions for the development team, • Foster a culture of continuous learning, innovation, and technical excellence, • Project Oversight and Delivery, • Oversee multiple projects simultaneously, ensuring they meet quality standards and timelines, • Collaborate with project managers and stakeholders to define project scopes and timelines, • Identify and mitigate technical risks across projects, • Ensure smooth integration between different components and teams, • Innovation and R&D, • Spearhead research into emerging technologies and their potential applications, • Lead the development of proof-of-concepts and prototypes for innovative solutions, • Drive the integration of AI and machine learning capabilities into our products and services, • Evaluate and implement cutting-edge AI services and APIs from providers such as OpenAI, Anthropic, Cohere, and Google VertexAI, • Guide the use of high-level AI frameworks such as Hugging Face Transformers, FastAI, or Keras for rapid prototyping and development, • Client and Stakeholder Management, • Act as the primary technical point of contact for high-profile clients and partners, • Present complex technical concepts and strategies to non-technical stakeholders, • Collaborate with business leaders to align technical strategies with business goals Basic qualifications • Essential Requirements, • 12+ years of software engineering experience, with at least 5 years in a leadership role, • Extensive full-stack development expertise, with mastery in multiple languages such as Python, Fast API, Flask, TypesScript (React, ___), Java, or Rust, • Proven experience in designing and implementing large-scale, distributed systems, • Deep understanding of cloud platforms (AWS, Azure, or GCP) and their advanced services, • Strong background in AI and machine learning, including experience with large language models (LLMs) and modern AI frameworks, • Hands-on experience with AI/ML technologies such as PyTorch, TensorFlow, JAX, or Hugging Face Transformers, • Proficiency in developing working with pre-trained models and fine-tuning for specific tasks, • Experience integrating AI services and APIs from major providers (e.g., OpenAI, Anthropic, Google VertexAI) into production systems, • Expertise in system architecture, design patterns, and software development best practices, • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Pulumi), • Strong understanding of data modeling, both for relational and NoSQL databases, • Track record of successfully leading and mentoring development teams, • Preferred Skills and Experience, • Experience in government or highly regulated industry projects, • Contributions to open-source projects or thought leadership in the tech community, • Experience in implementing microservices architectures and event-driven systems, • Knowledge of advanced AI paradigms such as RAG, few-shot learning, self-supervised learning, etc Requirement • Must be a US Citizen or legal resident and able to work domestically, • Must be located in the United States, • Must be able to attain low-level security clearance Perks • Work from anywhere., • Competitive pay., • A contribution to your health benefit., • The chance to work on high-visibility projects and make a significant impact. Get to know us • We are a small, creative and highly technical team., • Our heroes are the scrappy folks that dare to dream and do great things. We love people that care more about doing the right thing than taking a shortcut., • We believe in finishing projects and floor our clients by how much we cared about their project., • We believe in integrity and because we're small, we are very selective of our partners and clients., • We do not use phrases like 'human resource' because you are NOT a resource. You are a team member and we will treat you like one. What you should expect from us • We will treat you fairly., • We give you space to grow both personally and professionally., • We will hear your ideas even when we disagree -- especially when we disagree., • We will be equitable with our success and be honest with our challenges., • We will always tell you the truth. Even when the truth is difficult. \n$155,000 - $180,000 a yearThe salary range represents the compensation we expect to offer candidates who can perform the core responsibilities with minimal additional training. Actual compensation may vary based on factors such as skill set, level of experience, and scope of responsibility. Our recruitment team is available to discuss your specific salary requirements and to provide more information about how we determine compensation. We are committed to fair and transparent pay practices and encourage open dialogue about our compensation structure throughout the application process. We look forward to learning more about your qualifications and how they align with our framework. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR ___(c).\n

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As the Vice President of Data & AI, you will be the transformative force that turns our data into a strategic enterprise asset. Your vision will directly shape our competitive edge by fostering a data-first culture, driving the development of advanced AI and machine learning models to unlock new revenue streams, and dramatically improving operational efficiency. You will build and mentor a world-class team of data professionals, establishing the foundational data infrastructure and governance that empowers the entire organization to make smarter, faster, and more impactful decisions. Your leadership will be pivotal in defining not just our data strategy, but the future of our business. • Spearhead the company's entire Data & AI organization - encompassing data engineering, data science, machine learning, and analytics - to deliver transformative data products and AI-powered capabilities that drive business value., • Define and champion the company's comprehensive Data & AI strategy, establishing a clear vision for how data science, analytics, and machine learning will create a sustainable competitive advantage., • Own the architecture and roadmap for the company’s enterprise data platform, machine learning infrastructure (MLOps), and analytics ecosystem, ensuring robust scalability, reliability, and data integrity., • Serve as the executive data partner to the entire organization, collaborating with Product to embed AI into the user experience and with business leaders to foster a data-driven culture through actionable insights., • Establish and enforce a rigorous data governance framework, ensuring data quality, privacy, security, and compliance across the entire data lifecycle., • Implement and champion best practices in DataOps and MLOps to increase the velocity and reliability of data pipelines and model deployment. Foster a culture of rigorous experimentation and responsible AI development., • Build and scale a world-class organization of Data Scientists, ML Engineers, Data Engineers, and Analysts. Own the talent strategy for all data functions, from recruitment and retention to defining specialized career paths., • Mentor and develop a senior leadership team across the data and AI functions, building the technical and strategic capabilities required to solve the company's most complex challenges., • 15+ years of progressive experience in the engineering domain, with at least 8+ years in an international leadership capacity managing high-performing data engineering, data science, and/or machine learning teams., • A proven track record of delivering large-scale data platforms and productionized ML models that have resulted in significant, measurable business impacts (e.g., revenue growth, cost savings, enhanced user engagement)., • Deep technical expertise in the modern data and AI ecosystem, including cloud data platforms (e.g., Snowflake, Databricks, BigQuery), MLOps principles, ML frameworks (e.g., TensorFlow, PyTorch), and data orchestration technologies., • Exceptional communication and influencing skills, with the ability to articulate a compelling vision for data and AI and translate complex technical concepts into business value for an executive audience (C-suite, Board of Directors)., • Visionary leadership skills with the proven ability to recruit, mentor, and inspire a multi-disciplinary team of world-class data scientists, engineers, and analysts, fostering a culture of innovation, collaboration, and intellectual curiosity., • Expertise in establishing robust Data Governance and applying modern operational frameworks (DataOps, MLOps) to ensure data quality, compliance, and rapid, reliable delivery of data products and models., • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities.

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

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Indica Labs is looking for highly talented developers to complement the AI Analysis team who will be responsible for contributing to leading-edge digital pathology software. This position is an exciting and emerging area of medicine that is critical in various fields, including cancer treatment research, drug trials, and development. Developers get to directly contribute to the advancement of these medical applications while working for a company that has ranked first in "Top Places To Work" by the Albuquerque Journal two years in a row. Indica Labs also offers excellent benefits, including 100% paid medical insurance, flexible work style (remote, in-office, hybrid), annual bonuses, and a fully vested 401(k) matching. Indica Labs has a relaxed work culture where a healthy work-life balance is valued! Special note to candidates: This posting includes full-time, temporary, and limited term options. At this time, only candidates in New Mexico will be considered. The AI Analysis software development team generally use C# and C++ and are responsible for the following aspects of the application: • Large data set handling and manipulation., • Analysis of algorithm creation and maintenance., • Providing easy-to-use machine learning solutions., • Development and maintenance of workflows supporting machine learning analysis., • Integrating back-end technologies such as GraphQL, Entity Framework, and MySQL., • Debugging and addressing reported software bugs., • Troubleshoot issues in complex, large-scale production deployments., • User interface building., • Work effectively in a distributed team., • and much more. We hire based on talent, not just experience in a specific technology stack. Developers with varied experience are welcome and encouraged to apply. Our preferred qualifications are as follows: • Proven ability to thrive in a distributed team environment., • Ability to identify potential areas of technical risk and growth of product., • Strong knowledge of OOP and the .NET framework., • Ability to apply best practices to code and design., • Develop highly performant applications and modules., • Experience with C#, C++, and python., • Familiarity with PyTorch or a similar machine learning framework like TensorFlow is considered a plus., • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Math or related. • 2-5 years of work experience in a similar development role. #IND123

Responsibilities: The Computational Biomarker Imaging Group (CBIG) has an open postdoctoral positions. CBIG's mission is to act as a translational catalyst between computational science and cancer imaging research. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications. Most of our work to date has been on breast and lung cancer imaging, while more recently expanding more broadly in oncologic imaging and molecular imaging applications. A priority area is integrating imaging with genomic biomarkers towards integrated precision diagnostics for prevention and therapy for cancer. Applications focusing on radiomics and deep learning are also a priority. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary research team. Salary range is from $75,000 - $85,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Experience with Bioinformatics is a plus. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C ) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) and related statistical methods and software packages (e.g., ITK C/C libraries, R/SPSS) is desired (but not necessary). Experience with Deep Learning is also ideal (e.g., TensorFlow, Keras, PyTorch packages, etc.). Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

We’re a ten-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models. What you’ll do: • Create frameworks to predict a variety of outcomes in different scenarios, • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions, • Collaborate with other data scientists and stakeholders on projects, • Develop solutions in Python, • Develop production-grade solutions, • Work in Hadoop, Redshift, and Spark, • Translate business and product questions into analytics projects, • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights, • 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment, • Experience building, deploying, and optimizing machine learning models., • Strong experience with Azure ML and Databricks/MLflow., • Strong experience with Terraform and Kubernetes., • Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment., • Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment., • Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc., • Experience with GitHub., • Experience developing and deploying image models., • Master's degree/PhD in computer science or related field., • Consulting experience. At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $140,454 - $158,337 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our ___ page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at ___. Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: ___ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please ___.

What we're looking for:** - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

Senior Lead Software Engineer - ML Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - ML at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities. Job Responsibilities • Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows., • Develop and optimize tools for model training, deployment, monitoring, and lifecycle management., • Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions., • Implement secure, high-quality production code for platform services, APIs, and automation pipelines., • Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations., • Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement., • Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices., • Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services., • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure, • Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), • Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL), • Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure, • Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring, • Experience developing APIs and platform services for ML workflows, • Solid knowledge of the software development life cycle and agile methodologies, • Familiarity with Databricks for scalable data engineering and ML platform integration, • Experience working with Snowflake for cloud-based data warehousing and analytics, • Exposure to Snorkel AI for programmatic data labeling and training data management, • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow), • Familiarity with feature stores, model registries, and ML metadata management, • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Lead AI Engineer for Banking Technology Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Lead AI Engineer, Banking Technology – C14 (SVP Level) (Hybrid) Role Overview We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver enterprise‑scale AI solutions for Investment, Corporate, and Commercial Banking. This role combines deep hands‑on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and AI-first engineering culture, partnering closely with multiple technology and business teams. Key Responsibilities End‑to‑End AI Leadership: Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases. Agentic Architecture: Architect advanced agent‑based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google). Full‑Stack AI Engineering: Build and deliver production‑grade, full‑stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). Rapid Value Delivery: Champion MVP‑driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time‑to‑value. Evaluation & Optimization: Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals. Technology Foresight: Proactively evaluate and integrate emerging AI technologies, particularly in agent‑based and autonomous AI systems, while acting as a thought leader and coach. Technical Leadership & Mentorship: Provide front‑line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams to build an AI‑first engineering culture. Strategic Domain Alignment: Ensure all AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact beyond pure technical implementation. Qualifications Programming: Expert‑level proficiency in Python and/or Java (Spring Boot); solid experience with JavaScript/TypeScript (Angular, Node.js). AI/ML Expertise: Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems). Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK). Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity). Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries. Proven ability to design and expose robust, scalable APIs for AI services. Engineering Excellence: Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI‑driven platforms. Architecture & Data: Strong experience designing API‑first, microservices‑based, and event‑driven systems, including AI‑focused data pipelines and lifecycle management. Platforms: Hands‑on experience with Docker and Kubernetes. Leadership & Communication: Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high‑impact technical discussions. Domain Expertise: Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes. Nice to Have Advanced data science expertise (statistical modeling, experimentation). Demonstrated experience mentoring and scaling AI‑first engineering talent in rapidly evolving toolchains. Experience: 10+ years of progressive software engineering experience with sustained hands‑on contributions. 3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures. Proven success architecting and delivering multiple enterprise‑scale AI solutions into production. Education: Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.

AI/ML Software Engineer At Gallatin, we are rebuilding defense logistics for the warfighters of the United States and allied forces. We take an AI-first approach to improve defense readiness through software products that streamline and modernize logistics operations from factory to foxhole and result in better decisions and outcomes. We believe that you won't change the world by phoning it in and as such we work from our office in El Segundo, California or Austin, Texas. About the Role We're looking for an AI/ML Software Engineer to play a foundational role in developing and deploying AI-powered solutions for our core product. You'll work across the full AI/ML lifecycle—from defining and building models to evaluating and deploying large scale ML pipelines and real-time inference systems—while collaborating with cross-functional teams to deliver impactful, real-world AI applications. What You'll Do * Build and Deploy AI/ML Models * Own and develop an AI model aligned with our core product needs within the first three months. * Validate AI-driven product features through real-world testing and feedback from warfighters. * Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring. * Own high model reliability and uptime by implementing monitoring across your work. * Data Collection & Processing * Identify and integrate structured, unstructured, real-time, and batch data sources. * Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality. * Continuous Improvement & Best Practices * Stay ahead of AI trends and emerging technologies to improve model performance. * Document and share best practices for AI/ML development. * Contribute to the hiring and mentoring of AI/ML talent as we grow our team. * Teach the wider team about the latest trends and significance in novel approaches in AI. What We're Looking For * Strong Programming Skills * Expertise in at least one: Python, C++, or C. * ML Framework Proficiency * Hands-on experience with AI/ML training and fine-tuning frameworks, including: * PyTorch, TensorFlow, CUDA, Jupyter Notebooks * Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral) * LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs * MLOps & Data Engineering Knowledge * Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. * Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. * AI Fundamentals & Security Awareness * Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections). * Growth Mindset * Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others Bonus Points * Experience mentoring and upskilling junior engineers. * Familiarity with legacy systems and working with public sector customers. * Contributions to open-source (AI/ML) projects. Why Gallatin? * Join a mission-driven, high-impact, and fast-moving startup where your work directly improves defense logistics readiness for the warfighters of the United States and allied forces. * Work alongside a team of passionate engineers, designers, and industry experts. * Competitive compensation incl. generous options grant, 100% employer-paid health insurance premiums, 401k, opportunities for rapid career growth, unlimited PTO, free lunches and snacks in the office. This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary. If you're not excited about working hard, and solving the hard problems of building AI decisions-support systems that enhance our warfighters, don't apply. The following ranges are based on the cost of labor across US geographic areas. The base ranges from our lowest geographic market to our highest geographic market. Software Engineer I $80,000-$120,000 Software Engineer II $84,000-$175,000 SR Software Engineer $134,000-$210,000

Software Engineer III - AI/ML Engineer We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities • Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery., • Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Formal training or certification on software engineering concepts and 3+ years applied experience • Experience as a hands-on practitioner developing production AI/ML solutions., • Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc., • Deep knowledge and experience in machine learning and artificial intelligence., • Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis., • Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics., • Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn., • Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc., • Familiarity in AWS Cloud services such as EMR, Sagemaker etc., • Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

D-ID, Synthesia, or custom solutions) • Strong background in voice sync and lip-sync technologies • Proficiency in computer vision (face detection, facial landmarks, image/video processing) • Experience with deep learning frameworks (PyTorch, TensorFlow) • Availability for meetings during US

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. 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.

Hands-on experience with ML model serving frameworks (TorchServe, TensorFlow Serving, Triton Inference Server). Experience serving large-scale models and optimizing for performance.