Durham, North Carolina, USA We are looking for Associate Principal AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA). Essential skills/Experience: Min Bachelor´s degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills/experience: Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application. Strong publication record in the field of AI. Experience designing multi-agent systems in the pharmaceutical sector. Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Columbus, Ohio, United States Job Title: Python Developer Location: Columbus, OH (5 Days Onsite) Python, REST API, TDD, no-SQL,AWS Lambda, SNS/SQS, Terraform, API Gateway, ReactJS Note - Candidate must have banking domain experience and more than 4 years of onsite experience. Python Rest API TDD NoSql AWS Lambda Reactjs

REMOTE, REMOTE This is a FULLY REMOTE-WORLDWIDE position ActivePrime is a Silicon Valley Tech company As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Who we are NOT looking for *Agencies *People who are looking for a side “hustle” or are starting their own business *Anyone with less than 8 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 8+ YEARS OF EXPERIENCE in all CAPS To be considered pls fill out this form https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y Required Skills: *Very proficient with Linux at the terminal level *Test-driven development (TDD) and pytest proficiency *7+ years Python experience *Polars experience *PostgreSQL expertise: schema design, optimization, advanced queries *Familiarity with, and adherence to, PEP guidelines and Python coding standards *RESTful API development and design best practices *Scalable architecture design for high-volume data environments *Security practices and vulnerability prevention *Bug identification and resolution with local testing *Thoughtful development centered around performance, deeply optimized code, and proper code organization *Git version control with branching strategies *English fluency (written/verbal) *Previous experience working for a US-based company.

REMOTE, REMOTE The Role We're seeking a versatile DevOps Engineer with Python language skills, to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business. What You'll Do *Maintain and Evolve existing AWS infrastructure for Production and Development Environments. *Develop Automation and Purpose specific applications and Integrations. *Assist with and eventually lead the provisioning system and software release process. *Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js, NiceGUI, Ansible, among other tools). *Manage security policies and help with customer security compliance. *Support our remote-first culture through robust, reliable systems. What We're Looking For *Strong experience in Python development (Libraries, and Services, not just Backend API) *Experience delivering Python Modules across different environments. *Strong experience with AWS infrastructure management, configuration, deployment and monitoring. *Capacity of identifying problems and proposing solutions. *Proven ability to work independently in a remote environment. *Excellent async communication skills and self-management. *Experience building scalable systems from the ground up. *Comfortable with security best practices and compliance requirements. *Adaptability to wear multiple hats and tackle diverse challenges. *We release often, including the weekend. You must be available to work then. What you will need *AWS Dashboard (and CLI) experience *Python language experience *Linux environment experience *(Nice to have) Salesforce Admin/Dev Experience If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you. To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Remote, United States What We’re Building PJMF is building a suite of AI-enabled tools that will serve as the intelligence layer for modern philanthropy. Every year, foundations and corporate funders deploy hundreds of billions of dollars toward humanity's most pressing challenges—yet they do so using systems designed for compliance, not insight. Program officers spend more time reformatting documents and reconciling spreadsheets than learning from their portfolios or deepening relationships with grant partners. Grant Guardian, PJMF’s existing product, already helps hundreds of foundations use AI to streamline their financial due diligence workflows. The next step is a product that will place AI at the center of strategic philanthropy by automatically distilling grant applications into actionable insights, identifying patterns across thousands of grants, generating board materials in minutes, and lowering barriers for historically excluded organizations through features like proposal feedback and translation. About the role: We are seeking a self-driven Junior DevOps Engineer to contribute to the development, deployment, and maintenance of data and AI products that support positive social impact around the world. You will support the maintenance of the cloud infrastructure that powers our AI and data products, while contributing to the full-stack applications built on top of it. You will also work directly with nonprofit partners, helping them understand and adopt the tools we build. We are a small team. We work in short cycles and collaborate across disciplines. In this role, you will contribute directly to cloud-based applications that bring AI outputs into real use. This is an early-career, growth-oriented DevOps role designed for engineers who are building foundational experience in cloud infrastructure, automation, and deployment systems. The role operates under the guidance of senior engineers and progressively assumes greater responsibility as skills and confidence develop. How You’ll Make An Impact: Cloud infrastructure and operations. Maintain and improve our AWS environments using infrastructure-as-code. This includes VPC configuration, IAM policies, secrets management, logging, backups, and cost controls. Application development. Write frontend and backend production code for shared platform services and internal tooling. Our stack includes primarily Go, Python, JavaScript, and React. CI/CD and automation. Contribute to deployment pipelines using GitHub Actions. Automate testing, container builds, releases, and operational workflows like environment provisioning and dependency updates. Containerization and platform support. Support our Docker-based deployment platform, including build workflows, deployment strategies, and autoscaling. Observability and incident response. Implement and maintain metrics, centralized logging, alerting, and dashboards. Participate in incident response under the direction of senior engineers. Developer experience. Build and maintain internal documentation, service templates, and local development tooling that help the team move faster and debug with confidence. Partner collaboration. Work directly with nonprofit partners to support their adoption of our tools. You will translate technical concepts clearly, listen to how partners experience what we build, and bring that feedback into the product cycle. This is recurring, meaningful work, not occasional. Participate in stretch assignments and special projects in service of our broader strategic priorities. What you need to be successful: Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field is preferred. Equivalent practical experience may be considered; however, candidates with formal academic training in software or infrastructure-related disciplines are strongly encouraged. Development Experience: 1-3 years of experience in a DevOps, infrastructure, or full-stack engineering role. Programming: Working proficiency in Python or Go is strongly preferred. Experience contributing to production codebases is preferred. Cloud experience: Hands-on experience deploying or supporting production systems on AWS or a comparable cloud platform. Pipeline experience: Experience building and maintaining CI/CD pipelines using modern tooling (e.g., GitHub Actions, etc), source control (GitHub), issue tracking (Jira) and best practices. Infrastructure: Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required. Exposure to containerization tools (e.g., Docker) and Infrastructure as Code (e.g., Terraform) is also expected. Team Collaboration & Communication: Ability to work effectively in a small, virtual, fast-moving team. Communicate clearly in writing and conversation, document work thoughtfully, and demonstrate growing technical judgment when balancing short-term delivery needs with longer-term system considerations. Work eligibility: Applicants must be authorized to work for any employer in the U.S. (No visa sponsorship available) Exposure We Value: Observability experience: Exposure to monitoring, logging, and alerting systems and participating in incident response or on-call rotations. Systems Fundamentals: Basic understanding of networking, system reliability, and security fundamentals Security Fundamentals: Awareness of basic security best practices and an interest in learning how infrastructure security is maintained. Cloud cost & sustainability: Interest in learning how teams monitor infrastructure costs and system efficiency.

Warsaw (fully remote), Poland Lead Python Backend Engineer We’re looking for Python backend engineers interested in team management to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT). Wow, that was a mouthful... If you found it interesting, join Reef Technologies and lead a team of senior engineers who tackle complex technical challenges. With us, you’ll work on your own terms: Contribute from wherever you like—we are fully remote but like to stay in sync, so we’re currently hiring in EMEA/APAC. Set your own time commitment, as long as it’s at least 30h per week See how we work in our handbook: github.com/reef-technologies/handbook Influence the way we operate through our Sociocracy 3.0 decision-making process Salary on a B2B contract: 75–90 USD or 300–380 PLN per hour, or 12600–15120 USD or 48000–60800 PLN a month if you work 40 hours per week (most of us work a bit less) Flexible work schedule (as measured with a time tracker) We automatically adjust rates based on inflation twice a year We're looking for someone with 2+ years of team management and 5+ years of programming experience (including at least a year with Python, open source and significant personal projects do count).

London, UK We're building the future of Revenue Management. AI agents that give short-term rental operators and independent hotels more money for less effort. We integrate directly with Booking.com, Airbnb, and PMS platforms via deep private API connections. The role: This is a flexible Hybrid role in London. You'll be the second engineering hire, working directly alongside Martin. Everything is on the table: backend systems, React frontend, Chrome extension, data pipelines, agent orchestration, and prompt engineering. You'll ship full features end-to-end, not tickets. We ship fast using Claude Code and AI-assisted development daily. If you're already running multiple PRs in parallel with AI tools, you'll feel right at home. What we offer: £80K–£90K base salary plus up to 1% equity (DOE). This is a founding role, you'll have real ownership of the product and the company. You'll shape technical direction, product decisions, and company culture from the ground floor. If you want to build something real with a small team that's already winning customers and growing fast, where your code ships to production the same day and your decisions shape the company then let's talk. What we're looking for: Previous startup or founder experience, you've built something from zero and know what that demands. Very strong Python (Django/Celery) and React. Comfortable across the full stack, backend, frontend, infra, data. AI agent development, prompt engineering, or data pipeline experience is a strong plus. You need to be based in London or able to come to our Canary Wharf office 2 days a week. We can't sponsor visas. Stack: Django, Celery, PostgreSQL, React, Chrome Extensions, Claude Code.

Suitland, MD, United States LightFront is seeking a Senior Python & SAS Developer (Data Modernization) to support a long-term Census contract. This role will focus on modernizing legacy federal statistical and survey processing workflows by translating existing logic into scalable Python-based solutions using tools such as pandas, PySpark, and modern data architecture patterns. This is a backend/data modernization role, not a traditional web application role. The developer will support legacy system analysis, backend data processing, database logic optimization, ETL and batch workflows, and cloud-based processing patterns. The work requires someone who is comfortable stepping into established systems, understanding how existing workflows operate, and carefully translating that logic into cleaner, more maintainable solutions without disrupting current operations. This role will be hired initially as a 1099 contractor under LightFront, a joint venture between Illumen Group and Spatial Front, Inc. (SFI), with the potential to convert to full-time employment in the new fiscal year. The role is remote after onboarding, but the selected candidate must report to the Census office in Maryland to retrieve equipment and complete PIV-related onboarding. If the candidate is not local, reimbursable travel will be coordinated after onboarding begins. Clearance / eligibility: Candidates must be U.S. Citizens due to federal contract requirements and must be able to obtain a Public Trust clearance. The clearance process typically takes 6–8 weeks, and candidates must be comfortable with that process and timeline before moving forward. The selected candidate will also need to report to the Census office in Maryland for equipment and PIV pickup after onboarding has started. Travel costs will be reimbursed for non-local candidates. The ideal candidate will have a strong Python background, with at least 4 years of experience in data processing, backend systems, or similar technical environments. This role requires someone who has worked with legacy systems and can translate existing business or data logic into Python-based solutions using tools such as pandas, PySpark, or similar libraries. Candidates should be comfortable working through unclear, messy, or long-standing workflows where the first step is understanding the current logic before rewriting anything. Candidates should also have at least 4 years of database experience, including writing, refactoring, or optimizing stored procedures, backend logic, and complex SQL. Experience with PostgreSQL, PL/pgSQL, Oracle PL/SQL, or similar database environments is important. The role also requires experience with data pipelines, batch processing, ETL workflows, job orchestration, troubleshooting, and performance tuning. AWS experience is also needed, ideally with services such as Lambda, SQS, SNS, IAM, or similar cloud services used in backend or data workflow environments. Linux experience is required, as the role will involve working in Linux-based development and processing environments. Experience with serverless architecture, Docker, Kubernetes, PySpark, R, or hands-on Base SAS production workflows is helpful, but not required. The strongest fit will be someone who has worked with legacy data systems, can translate existing logic rather than only build new features, is comfortable operating in less structured environments, and can balance support for older systems with modern Python, database, and cloud-based workflows.

Remote, NY, USA OPF is hiring a contract engineer to run the data collection phase of an emissions measurement study comparing edge versus cloud LLM inference across multi-modal AI workloads. The methodology is being designed by external advisors with prior published work on AI carbon measurement; the engineer's role is to implement that methodology rigorously, capture clean instrumented data, and hand it off cleanly to OPF's internal team for analysis and modeling. Findings will appear in a co-branded industry publication backed by a defensible methodology — meaning the public artifact is industry-format, but the underlying data has to withstand potential scrutiny. Engagement scope You will design, build, and run a Python-based testing harness that captures inference runtime, energy consumption, and component-level power across three edge devices and one cloud GPU instance, then deliver clean, documented outputs to the OPF analytical team for downstream modeling. The work spans Windows and Linux, three distinct hardware platforms (Intel Core Ultra with NPU, AMD Ryzen AI with XDNA NPU, NVIDIA L4 cloud GPU), multiple deployments (OpenVINO and Lemonade Server for local; vLLM, Triton, and/or FastAPI for cloud as appropriate per task); and two layers of measurement (software-based estimation and on-die telemetry). The engagement begins with a proof-of-concept phase on the AMD Ryzen 7 Pro laptop, focused on a single task (Basic Queries), to build the harness, telemetry, and methodology end-to-end before scaling to the rest of the platforms and tasks. Following this, a cloud GPU instance must be provisioned for cloud data collection and harness validation. Once the harness has been validated on one laptop and in the cloud environment, the approach will be scaled to the remaining laptops and tasks. Proof-of-concept outcome serves as an interim milestone before proceeding with the remainder of the engagement. See https://onepointfive.notion.site/job-spec-al-ml-engineer for the full job description. Required experience Strong Python proficiency, experimental discipline, and reproducibility practices Hands-on hardware telemetry — Intel RAPL, NVIDIA NVML, plus at least one of Intel SoC Watch / VTune, AMD μProf, or HWiNFO64 Working knowledge of at least one in-scope deployment (OpenVINO, Lemonade Server, vLLM, or Triton) Linux and Windows systems experience, including hardware performance counter telemetry Demonstrated reproducibility discipline: pinned environments, version-controlled configs, documented assumptions Strongly preferred Prior MLPerf Power or MLCommons Power working group submissions Published or contributed to AI energy / carbon measurement research or related sustainability topics Experience with NPU-class accelerators (Intel AI Boost, AMD XDNA, or comparable) Experience with GPU benchmarking methodology — DCGM telemetry, clock-pinning for reproducibility, or comparable practices Comfort working alongside external advisors and delivering well-documented handoffs to a downstream analytical team

San Francisco, CA, United States Metropolitan Transportation Commission (MTC) San Francisco, CA Principal Modeler – Model Development $152,501.86 - $193,409.22 Annually DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM The Metropolitan Transportation Commission (MTC) is the transportation planning, financing, and coordinating agency for the nine-county San Francisco Bay Area. MTC is the federally designated Metropolitan Planning Organization (MPO) and the state designated Regional Transportation Planning Agency (RTPA) for the nine-county San Francisco Bay Area. MTC provides services to the Association of Bay Area Governments (ABAG). For more information about MTC, visit www.mtc.ca.gov. EQUAL OPPORTUNITY EMPLOYER The Metropolitan Transportation Commission is an equal-opportunity, non-discriminatory employer. MTC provides all employees and applicants with an equal opportunity in every aspect of the employment experience regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical handicap, medical condition or marital status. DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM IF YOU ARE INTERESTED, PLEASE APPLY IMMEDIATELY A resume is highly encouraged with your application. Be ready to rethink your assumptions about the public sector. Dedicated and motivated colleagues? Beautiful, high amenity building for on-site work and collaboration? Flexible schedules and hybrid work options? Yes, yes, and yes! ABOUT THE SECTION The Regional Planning Program section at MTCABAG is a multidisciplinary team that applies data-driven planning to improve the trajectory of the San Francisco Bay Area. One of our core deliverables is Plan Bay Area, which we update every four years. This long-range plan lays out a set of strategies for how to achieve a region that is affordable, connected, diverse, healthy and vibrant for all. In developing the plan, our team takes on some of the most difficult and important challenges facing the region: how to make living in the region affordable for existing and future residents, how to create a safe and effective transportation system, and how to reduce greenhouse gas emissions. The section consists of four teams: Major Plans, Transportation Planning, Housing and Local Planning, and Forecasting/Modeling and Surveys. This principal position is within the Forecasting/Modeling and Surveys (FMS) team, which conducts data analysis and develops and applies modeling tools to analyze the impacts of potential strategies for Plan Bay Area. Our team strives to create quality modeling tools that embody our sections goals for planning excellence; we emphasize transparency by creating open-source models, and we value collaboration with other agencies and partners in developing shared resources. The FMS team focuses on the application of economic models, urban development models, and travel models, including developing new features for some of these models as new analysis needs arise. FMS also conducts regular travel diary surveys and transit passenger surveys to inform these tools and other research questions of interest to the agency. ABOUT THE ROLE The Principal Modeler in Model Development will lead development of our travel modeling tools to assess our region’s future and to evaluate potential strategies and policies to improve quality of life. In this role, the Principal Modeler will manage a consulting team working in travel model development, developing both major and minor features as needed for the travel model and associated tools. This will involve project management as well as hands-on development work. The Principal Modeler will also be involved in developing other modeling and modeling-related tools relevant to long-range planning, including land use forecasting models, population synthesis tools, and others. This role will also involve working with internal and external stakeholders to prioritize feature development and bug fixes for these tools. Finally, this role will include mentoring staff in technical development, representing MTC before a variety of groups, agencies, organizations, elected officials, and the public, requiring the ability to communicate effectively about technical topics with non-technical stakeholders; and performing other job related duties as required. Responsibilities The development and release of future versions of MTC’s modeling tools, including: • Implementing or updating features • Managing a consultant team in model development and network development tools. This includes reviewing pull requests and deliverables; project and budget management; discussing and resolving budget issues with appropriate staff and responsible agencies; negotiating, preparing and administering contracts, proposals, task orders and agreements. • Model calibration, validation and documentation • Presenting Model Development progress and features to stakeholders within the agency and with agency partners. Qualifications KNOWLEDGE, SKILLS, & ABILITIES Required Deep knowledge of activity-based travel modeling and network modeling Software development skills in python to implement modeling functionality, as well as to collect, clean, code and analyze data Interpersonal skills and an ability to work in a project and team environment Desired Experience synthesizing technical information to facilitate good policy and planning decisions Data visualization experience Knowledge of the complexity of the transportation system and land use/transportation issues facing the San Francisco Bay Area MINIMUM QUALIFICATIONS Any combination of training and experience that would provide the required knowledge, skills, and abilities listed. A typical way to obtain the required qualifications would be: Education and Experience: Equivalent to a bachelor’s degree from an accredited college or university with major coursework in planning, civil engineering, environmental science, communications, business or public administration, or a related field and seven (7) years of increasingly responsible professional experience in a field related to assigned area of responsibility PREFERRED QUALIFICATIONS Education: A Bachelor's degree in an appropriate field related to the area of assignment, such as transportation planning, city and regional planning; transportation engineering or modeling, financial management, economics, business or public administration. A Master's degree is desirable. Applicants with a degree issued from an institution outside the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with their application.