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Job DescriptionSenior Software Engineer Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. That’s where we step in: Thalo is transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Our AI-powered platform transforms static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us leverage the built environment to decarbonize today and accelerate drawdown globally! About the Role: As a Senior Software Engineer at Thalo Labs, you’ll operate as a hands-on builder, working directly with our head of Software Engineering to execute a software vision and roadmap. Software engineering isn’t just a part of what Thalo Labs does, it’s our most important product. You’ll work with our small SWE team and report directly to our Director of SWE to define and drive our product roadmap and integrate ML models into Thalo’s platform. What we offer: • Own and execute Thalo’s software product strategy in partnership with your software engineering peers, and the hardware, leadership, and GTM teams- Architect and develop AI enabled HVAC monitoring and analytics products that deliver automated insights to customers- Research, develop, and implement ML models in production environments - Continuously build and improve software infrastructure for large-scale data ingestion, storage, transformation, and analysis. What you have:

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $153,000 - $179,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Analyze data structures, file formats, and relational data models to ensure accurate system mapping. Solid understanding of relational databases, system architecture, and data modeling. Perform root cause analysis on system and data issues, implementing sustainable solutions.

Convert information gathered into specific details including data sources, data and user types, interface components, interface navigation needs, reporting needs and administrative system needs. Analyze and document business requirements and processes; communicate requirements to technical personnel

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Compensation: $150-200k/year Qualifications: A Bachelor's Degree in Computer Science, Engineering, or related field of study 5+ years of relevant hands-on technical experience Strong Python skills Strong understanding of relational databases and SQL Strong analytical skills with attention to detail

Undertake data assessment, data gap analysis and remediation. Specific responsibilities for the Financial Product Accounting Business Line Analyst role: Sound knowledge of lifecycle of financial Global Market and Global Banking products and banking processes, ability to navigate complex data systems

Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building,

Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks. Applied Math, Computer Science, Computational Science, Operation Research, Data Science).

Basic Qualifications: Bachelor’s degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building,

Applied Math, Computer Science, Computational Science, Operation Research, Data Science). The position includes building scalable ML pipelines and the data foundations required to capture, manage, store, and utilize large-scale structured and unstructured datasets, ensuring data integrity and intero

Experience must be in one or more of the following languages: Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go, or Kotlin. Computer Science, Information Technology, Engineering, or a related discipline) OR 12 months of professional work experience in

Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building,

Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience

Iris's Fortune 100 direct client is looking for Senior Business Analyst - Payments.Please find below Job description and share your updated resume with me.Position: Senior Business Analyst - Payments EmploymentType: Long term contract Location: Jersey City, NJ Hybrid : 3 days office , 2 days work fr

Bachelor's degree in Data Science, Public Health, Health Informatics, Computer Science, ora related field. This role blends data analysis with light data engineering to build robust data pipelines, deliver actionable insights, and create high-quality reporting and analytics. Perform data wrangling,

Product and Data Science teams. Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic

Process & Governance: Proactively identify data quality issues and recommend sustainable solutions that align with established data governance standards. Proficiency in SQL for data extraction and familiarity with Python or R for automation. The Business Analyst, Data Insights will act as a high

ResponsibilitiesUnderstands Razorfish data capabilities and how data fits into a client's overall strategy Understands the breadth of data services and craftsAble to lead cross-capability projects and build close relationships with other disciplinesAble to i

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. We enable clients to stay ahead with the latest advancements by transforming engineering teams and

WITHIN THE FIRST MONTH, YOU'LLEstablish a deep understanding of Nova Credit’s products, strategies, and dataPartner with the Sales team to understand our prospect engagement modelsShadow your first external meetings WITHIN THE FIRST QUARTER, YOU'LLPartner with Account Executives to own meetings,

This role will be responsible for working with internal and external data sets, tools and vendors, partnering with the campaign analyst to develop methodologies and frameworks, and build data science models and data pipelines to ensure accuracy when answering business questions around the marketing

MINIMUM REQUIREMENTS:Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience; or a Master's degree in Mathematics, In

ResponsibilitiesManage the end-to-end process for data internal and external client project workUnderstands Razorfish data capabilities and how data fits into a client's overall strategyDemonstrates marketing business insight and how our data services fit into client strategies and objectivesAble to

Manager, Data Science - US Card Account Takeover Fraud Data Science. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this l

PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience. Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang. Experience in building a stack for an AI-powered application, inclu

You know understanding the data is often the key to great data science. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and thi

This role sits within AIM and supports Customer Acquisition Analytics for Corporate products, shaping how American Express uses data, advanced analytics, and emerging AI to transform our digital experience. You will design and implement data-driven strategies, build scalable analytical solutions, an

We are looking for a results-driven Associate Director, Data Science and Analytics to lead end-to-end analytics initiatives and build scalable models that drive business impact. Understands Razorfish data capabilities and how data fits into a client's overall strategy. This role requires a strong fo

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Collaborate with data engineers to ensure high-quality, well-structured training datasets and feature stores. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Strong proficiency in Python and AI frameworks such as LangChain and LangGraph.

Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). As a startup, we disrupted the credit card industry by individually personalizing every credit c

TRIRIGA, including a strong knowledge of its data structure and table structure. Experience evaluating customer requirements and performing detailed data mapping. TRIRIGA Application/Database Developer.

Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle. Hands-on programming language skills (SQL, Python, R, etc). Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online).

It provides ongoing strategic account direction/vision for technology, process, and data science. Drive organic revenue growth through cross-selling and up-selling data science products across client divisions and categories. This role requires deep expertise in data science methodologies, client ma

Postgres or strong with relational databases and database API. Good SQL / database connectivity.

Our client, a Software Development firm for Hedge Funds and Prop Traders, is looking for a Quantitative Developer to expand their cross-asset product, collaborating with other developers, as well as directly with clients to build frameworks.Competitive compensation (incl.Connecting within a talented

This role sits at the intersection of data science, ad tech, and product innovation, and will define how Bloomberg's advertising clients measure efficiency, optimize campaigns, and activate audiences across platforms - all with a strong foundation in data integrity, privacy, and transparency. Partne

Market data consumption & normalization.