• Architect and develop Solana programs in Rust, using Anchor and/or native frameworks. • Maintain and extend M0’s existing issuance infrastructure, with a focus on Token-2022 extensions. • Optimize programs for compute unit usage, account size, and transaction packing. • Participate actively in code and design reviews. • Prepare codebases for third-party audits, including writing comprehensive tests, invariants, and fuzz harnesses.

Role Description We are looking for a Machine Learning Engineer who will deliver business value by building new AI Products for Calendly’s customers. You will report to the head of AI and will be responsible for building and operating AI-powered features that create magical experiences for our customers. - Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics. - Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team. - Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly. - Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward. - Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines. - Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response. - Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies. - Be a frequent user of AI Tools and champion of adoption to the rest of the company. Qualifications - 6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI/ML applications in production. - Experience working on GenAI products architecture/system design and implementation. - Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users. - Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases. - Strong programming (Python / Scala / Java / SQL etc) and data engineering skills. - High level of ownership, and the ability to find a way to success. - Strong verbal and written communication skills. - Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time. Benefits - Base salary is just one component of Calendly’s total rewards package. - All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Company Description Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. This role may require occasional travel for company events, team collaboration, or offsites.

Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems. The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions. This team is responsible for: - Defining and enforcing reliability standards across engineering - Designing incident response processes and improving recovery times - Building observability systems and reliability tooling - Driving SLO adoption and production readiness reviews Reducing operational toil through automation The Reliability team works cross-functionally with Infrastructure, Product Engineering, and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving, automation-first thinking, and strong ownership of production systems. As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen. This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure. This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod. Your Impact - Increase platform uptime and reduce incident frequency and duration - Establish and operationalize SLIs/SLOs across services - Improve MTTR through better tooling, automation, and runbooks - Strengthen production readiness standards - Drive long-term systemic reliability improvements You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company. Responsibilities:Reliability Engineering - Define and implement SLIs/SLOs for critical services - Lead incident response and coordinate cross-team mitigation efforts - Conduct blameless postmortems and ensure corrective actions are completed - Perform production readiness reviews for new services and features - Identify systemic risks and drive preventative improvements Observability & Monitoring - Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.) - Improve signal-to-noise ratio in alerts and reduce alert fatigue - Build internal tooling for reliability tracking and reporting - Improve visibility into GPU performance and distributed systems health Automation & Toil Reduction - Automate recurring operational workflows - Build tools and scripts (Python, Go, Bash) to eliminate manual processes - Improve deployment safety through automation and guardrails - Strengthen CI/CD reliability and release processes Cross-Functional Reliability Advocacy - Partner with engineering teams to improve system resilience - Provide guidance on fault tolerance, scalability, and failure handling - Contribute to architectural discussions with a reliability-first mindset Requirements: - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering - Strong Linux systems and Networking expertise - Experience managing containerized production systems - Strong understanding of distributed systems and failure modes - Experience defining and managing SLIs/SLOs - Proven incident response and postmortem leadership experience - Strong scripting or programming skills - Experience with monitoring and alerting systems - Excellent written communication skills - Successful completion of a background check Preferred: - Experience with GPU infrastructure or AI/ML platforms - Experience improving reliability in high-growth or large scale environments - Familiarity with GPU observability tooling - Experience with Infrastructure as Code - Experience working in startup environments - Experience building internal reliability platforms or frameworks What You’ll Receive: - The competitive base pay for this position ranges from $150,000- $200,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location - Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. - Generous medical, dental & vision plans - Flexible PTO- take the time you need to recharge - Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. RunPod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, RunPod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law.

Role Description Seeking a Process Development Engineer to join the Drug Substance Technology Engineering team at our client Cambridge site. Providing strong process engineering/technology transfer support of human therapeutic drug substance products in clinical development through commercial production. Our mission is to translate developmental processes to commercial reality for patients through scientific expertise and engineering innovation. Knowledge of processes/equipment; scale-up factors, process deviations, quality attributes. GMP experience is a plus. The Engineer will apply upstream and downstream process engineering knowledge in support of technology transfer and clinical/commercial drug substance manufacturing in both stainless and single-use formats. Will partner with manufacturing, quality, analytical, and bench scientists to support a highly dynamic technology transfer. Job Responsibilities - Transfer processes for drug substance manufacturing and translate process improvements from the laboratory into manufacturing facilities. - Provide technical support for successful scale-up, transfer of process technology, and for clinical and/or commercial manufacturing operations. Experience in technical report writing is an expectation. - Assist in troubleshooting clinical and commercial runs. - Execute data trending and statistical process analysis. - Support technical direction for process-related deviations, CAPAs, and change controls. - Identify and support process-related operational excellence opportunities. - Represent process development and collaborate with other functions such as Manufacturing, Quality, and Regulatory. - Experience related to Process characterization for manufacturing of biologics is highly preferred, including technical support for authoring and review of process characterization reports. Qualifications - Master’s degree and 2 years of Engineering or Operations experience. - Bachelor’s degree and 4 years of Engineering or Operations experience. - Associate’s degree and 7 years of Engineering or Operations experience. - High school diploma / GED and 8 years of Engineering or Operations experience. Preferred Qualifications - Master’s Degree in Chemical or Biochemical Engineering. - 2+ years of Process Engineering experience preferably related to downstream/purification of commercial cGMP manufacturing facilities. - Background in biologics technology transfer into commercial facilities, new product introductions (NPIs). - Biologics purification process knowledge: Knowledge of upstream (cell culture/bioreactor operations) or purification processes (chromatography, viral filtration/inactivation, ultrafiltration/diafiltration, and final fill), equipment; scale-up factors, process deviations, quality attributes. - Strong analytical capability, troubleshooting, and problem-solving. - Independently motivated with ability to multi-task and work in teams, especially if remote or hybrid. - Excellent written and verbal communication skills with technical writing and presentation experience. Experience in PC documentation, report reviews, and technical writing preferred. Top Must Have Skills - Cell culture experience. - Purification/downstream experience. - Process characterization experience. Nice to Have - Monoclonal antibodies or mAbs manufacturing or on-floor support. Day to Day Responsibilities - Assist senior staff in technical writing, process tech transfer, data monitoring. Red Flags - No experience, not enough experience in biopharma or biotech. - No experience in cell culture/upstream, purification/downstream, or technical report writing. Interview Process - Teams interview. - Screening 30-minute Microsoft Teams interview. - Second round - Teams interview, 30 minutes each approximately with 3 other team members. Application Instructions We invite qualified candidates to send your resume to resumes@3keyconsulting.com . If you decide that you’re not interested in pursuing this particular position, please feel free to take a look at the other positions on our website www.3keyconsulting.com/careers . You are also welcome to share this opportunity with anyone you think might be interested in applying for this role.