• Design, develop, and deploy machine learning models to solve business problems across large-scale datasets. • Build and optimize machine learning pipelines for data preparation, model training, and inference. • Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines. • Research and implement modern machine learning techniques, including deep learning and large language models where appropriate. • Work closely with product and cross-functional teams to translate business requirements into technical solutions. • Deploy and maintain machine learning models in production environments. • Monitor model performance, conduct experiments and A/B testing, and continuously improve model accuracy and reliability. • Contribute to the team's engineering best practices, including code reviews, documentation, and knowledge sharing.

• Act as a Player-Coach: Dive deep into the data and code. You will spend a significant portion of your time making direct technical contributions, reviewing code/PRs, and understanding the mathematical nuances of your team's models. • Lead Strategic Initiatives: Take ownership of a specific product area (like Cash Line or Auto) and serve as the de facto ML leader in cross-functional strategy meetings. • Drive 0→1 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes. • Translate Models to Business Impact: Design and refine decision engines that translate model predictions into accurate, transparent, and customer-friendly lending outcomes.

The Sr. Telephony Administrator serves as the lead technical specialist and primary owner of Aledade’s enterprise contact center environment. This role is responsible for the high-level configuration, proactive support, and continuous optimization of our telephony platforms to ensure seamless connectivity for our clinical and operations teams. Beyond daily maintenance, the Administrator possesses the autonomy to adapt system settings to meet shifting business demands, ensuring our communication infrastructure remains scalable, compliant, and highly performant. We are flexible with respect to geographic location, and the ideal candidate will be comfortable working remotely/work from home across US time zones. Primary Duties - Build, configure, and maintain outbound dialer campaigns, including pacing, dispositions, campaign logic, and list strategies. - Monitor campaign performance and telephony KPIs, identifying issues or trends and escalating findings to Telephony leadership as needed. - Own and oversee SIP trunk configurations, carrier integrations, and call routing changes under the direction of Telephony leadership. - Execute and maintain call masking, branded caller ID, and spam-mitigation configurations. - Oversee and ensure compliance with number registration and TCPA/DNC compliance processes, including management of National and State Do Not Call lists. - Document telephony configurations, call flows, routing logic, and procedures to support consistent execution, troubleshooting, and knowledge sharing. - Drive the design, implementation, and optimization of call strategies across voice, SMS, and email channels in partnership with Operations and Workforce Management (WFM). - Own and direct with Five9 API usage and other integrations to enable automation, reporting, and connectivity between telephony and adjacent systems. - Collaborate with Workforce Management, QA, Operations, Compliance, and IT to ensure telephony configuration supports staffing models, performance goals, and regulatory requirements. - Lead telephony platform enhancements, system consolidations, and transitions (e.g., migrations into Five9) through configuration, testing, documentation, and operational readiness activities. - Build and troubleshoot escalated telephony issues related to call routing, dispositions, softphone configuration, and agent-level problems. - Participate in testing and quality assurance of new dialer campaigns, call flows, integrations, or system changes prior to production deployment. Minimum Qualifications - Bachelor’s Degree or equivalent experience - 7+ years of experience supporting contact center telephony / CCaaS platforms - 5+ years hands-on experience administering outbound dialers (Five9 strongly preferred) - Deep working knowledge of call routing, advanced CCaaS platforms features, and telephony integrations - Exposure to APIs or system integrations (Five9 APIs preferred) - Strong troubleshooting skills across telephony platforms and agent environments - Ability to communicate technical information clearly to operations and leadership partners Preferred knowledge, skills, and/or abilities - Experience supporting healthcare, compliance-driven, or multi-site contact center environments - Experience supporting telephony platform transitions or system consolidations - Familiarity with call reputation management, branded caller ID, and spam mitigation best practices (e.g., TNSI, Numeracle) - Experience partnering with Workforce Management, QA, Compliance, and IT teams - Exposure to additional platforms such as NICE inContact, RingCentral, or Twilio Physical Requirements - Prolonged periods of sitting at a desk and working on a computer. Who We Are: Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members: Flexible work schedules and the ability to work remotely are available for many roles Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners Robust time-off plan (21 days of PTO in your first year) Two paid volunteer days and 11 paid holidays 12 weeks paid parental leave for all new parents Six weeks paid sabbatical after six years of service Educational Assistant Program and Clinical Employee Reimbursement Program 401(k) with up to 4% match Stock options And much more! At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants

What we’re building and why we’re building it Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through, or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users. It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do - and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools - especially AI - to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next - with us. About the Role Fetch is building the future of personalized consumer experiences. We’re looking for a Staff Machine Learning Engineer to serve as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking. In this role, you will own the technical direction and execution for your team’s ML systems - driving high-quality architecture, guiding implementation, and ensuring models and infrastructure operate reliably at scale. You’ll partner closely with product and cross-functional stakeholders while remaining deeply hands-on in design and development. Role Responsibilities - Serve as the technical lead for a single ML-focused team, setting direction and raising the bar on engineering quality and system design. - Design, build, and scale ML systems supporting personalization, ranking, search, or ad-related use cases. - Own end-to-end architecture for your team’s services, including model training, evaluation, deployment, and serving. - Drive clarity in ambiguous problem spaces, translating product needs into scalable technical solutions. - Lead design reviews and ensure thoughtful tradeoffs around latency, reliability, experimentation, and maintainability. - Partner closely with product, data, and engineering stakeholders to deliver measurable business impact. - Mentor engineers through hands-on technical guidance, feedback, and example. - Use AI tools to accelerate development and improve system design, including: - Prototyping and validating ideas with LLM tools. - Leveraging AI for code iteration and experimentation. - Using AI assistants for architecture diagramming and design validation. - Exploring LLM-powered features where appropriate. Minimum Requirements - 8+ years of industry experience in machine learning or software engineering, with demonstrated ownership of production ML systems operating at scale. - Proven experience building and scaling ML systems in personalization, relevance, search, or ad tech domains. - Strong hands-on expertise in distributed systems, data pipelines, and ML infrastructure. - Experience deploying ML models into production and operating them at consumer scale. - Demonstrated ownership of complex technical initiatives within a team. - Strong systems design skills with the ability to clearly articulate tradeoffs and implementation decisions. - Experience mentoring engineers and influencing technical standards within a team. - Ability to operate effectively in ambiguous environments and drive projects to completion. Preferred Requirements - Familiarity with LLMs and their application in personalization, feature generation, or search. - Experience with real-time or streaming ML systems. - Exposure to experimentation frameworks (A/B testing) and model performance measurement. - Experience bridging model development with real-time serving systems. This is a full-time role that can be held from one of our US offices or remotely in the United States. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.