Machine Learning Engineer Remote Jobs in Wisconsin (US)
This page tracks remote machine learning engineer openings that are location-eligible for Wisconsin.
This page tracks remote machine learning engineer openings that are location-eligible for Wisconsin.
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Celigo is proud to be a 2025 Gartner Customers’ Choice for iPaaS and a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year. We are ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. Remote-first culture, built on trust, collaboration, and transparency A high-growth, inclusive work environment where innovation thrives Lightspeed learning opportunities to keep you at the leading edge of your field Exceptional coworkers who challenge and inspire you daily
Role Description At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. The Forward Deployed AI Engineer (FDAE) is a pioneering role at the heart of our customers' agentic transformations. Using Celigo's strategic frameworks, you'll conduct workshops and interviews with executive team members to identify critical business processes, core challenges, and AI opportunities that Celigo is uniquely positioned to solve. Embedded directly within Enterprise customer environments, this engineer drives rapid, measurable adoption of Celigo’s AI capabilities by identifying high-value business processes ripe for automation and personally building production-grade solutions. What would you do if hired? - Conduct workshops and strategy sessions with executive teams, present findings, and translate into design documentation and project plans. - Utilize Celigo’s AI capabilities — including AI Studio, agentic workflows, and MCP server orchestration. - Coordinate with customer data teams to understand data quality and agentic transformation requirements. - Design intelligent prompts and develop AI agents and solutions that drive real value for customers. - Set up and maintain MCP servers for scalable integration runtime environments. - Design and manage APIs, including defining endpoints, authentication, versioning, and governance best practices. - Co-build alongside customers and partners, sharing best practices and enablement as you go. - Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not weeks. - Perform end-to-end testing and validation of agentic solutions. - Ensure best practices in performance, security, and governance. - Provide go-live support, ongoing support, advisory services, and knowledge transfer to customers. - Educate customers on the use of Celigo platform’s agentic capabilities. - Mentor junior developers and contribute to solution design reviews. Qualifications - Strong problem-solving skills with the ability to troubleshoot complex agentic issues. - Excellent verbal and written communication skills across business, technical, and executive audiences. - Client-facing professionalism with the ability to lead discussions, training, and advisory sessions. - Self-starter with strong ownership, attention to detail, and ability to work independently. - Ability to manage multiple priorities in a fast-paced, client-driven environment. - Demonstrated business acumen and sound decision-making skills. - Drive to self-learn and showcase emerging technologies, including AI and automation, to elevate the practice. Requirements - Strong experience with prompt engineering, using frontier LLM models, API integration and management to solve business problems. - Strong understanding of API lifecycle management, versioning, security, and governance. - Experience integrating ERP systems (NetSuite, Acumatica, Microsoft Dynamics, SAP, etc.). - Hands-on experience with cloud/SaaS platforms (Salesforce, Shopify, Amazon, etc.). - Data transformation expertise (JSON, XML, CSV, EDI, mapping, normalization). - Understanding of middleware and iPaaS architecture patterns. - Experience integrating and operationalizing AI/LLM services. - Familiarity with agentic architectures and orchestration concepts (e.g., Celigo agentic services, MCP servers). Education & Experience - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field is preferred. - 7+ years of total experience, ideally with 4+ years of experience in management / technical consulting with direct client engagement. - 3+ years of experience with AI development (frontier models, agentic services, MCP servers) with at least one production agent you can walk through. - Proven ability to design and deliver scalable, production-grade integration solutions. - Experience across the full delivery lifecycle (requirements through post-go-live support). - Understanding of technologies such as Node.js, web services (SOAP/REST), and data transport formats (JSON, XML, EDI, flat files). - Familiarity with enterprise applications (NetSuite, Salesforce, Amazon, Google, Shopify, HubSpot, etc.). - Strong database fundamentals (SQL, data modeling, querying). - Knowledge of legacy integration methods (FTP, ACH, fixed-width files, EDI) is a plus. Benefits - Three weeks of vacation (starting year one). - Wellness days and holidays to recharge. - Parental leave and a generous benefits package. - Monthly tech stipend. - Recognition and career development opportunities.
• Conduct legal research across a range of US law topics. • Analyse complex legal issues and provide well-supported conclusions. • Draft and edit memoranda, opinions, contracts, and other legal content. • Review AI-generated legal outputs for accuracy, clarity, and completeness. • Identify errors, inconsistencies, unsupported conclusions, and ambiguous language. • Provide structured feedback based on legal standards and project guidelines. • Support quality assurance across legal documents and evaluation tasks. • Collaborate remotely with legal, technical, and project stakeholders.
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Description Our client is supporting a technology-driven project focused on improving how advanced AI systems understand, analyse, and generate legal content. We are looking for an experienced US-qualified Lawyer to research legal issues, review AI-generated materials, and produce clear, accurate legal content across a range of US law topics. The work may include memoranda, opinions, contracts, legal analyses, and quality review against defined standards. Previous AI experience is not required. - CONTRACT: Freelance contractor, project-based - COMMITMENT: Flexible, based on project workload - LOCATIONS: Fully remote, United States - PROCESS: Application review, legal expertise assessment (AI-led), onboarding - HOURLY RATE: $140 - $245/h Responsibilities - Conduct legal research across a range of US law topics. - Analyse complex legal issues and provide well-supported conclusions. - Draft and edit memoranda, opinions, contracts, and other legal content. - Review AI-generated legal outputs for accuracy, clarity, and completeness. - Identify errors, inconsistencies, unsupported conclusions, and ambiguous language. - Provide structured feedback based on legal standards and project guidelines. - Support quality assurance across legal documents and evaluation tasks. - Collaborate remotely with legal, technical, and project stakeholders. Qualifications - Active licence to practise law in at least one US jurisdiction. - Professional experience in legal research, analysis, and drafting. - Current or previous experience at a recognised US law firm. - Experience reviewing legal documents for accuracy and quality.
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Senior Principal Software Engineer - Generative AI & Mobile Platforms (Remote) remote type Remote/Virtual time type Full time job requisition id Req186005 With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: As a Senior Principal Engineer, you will serve as the chief technical architect and visionary leader for our Mobile App Renovation Strategy (MARS). You will define the future of our high-performance, modular, and intelligent mobile ecosystem. This role demands a world-class engineer who is deeply technical, possesses an extensive background in native mobile development and server-side orchestration, and can champion innovative AI-first software development. You will report directly to senior technology leadership and lead cross-functional feature and platform teams to build our next-generation architecture. We are seeking a visionary leader who will not only build the platform but will also aggressively drive AI-first software development. You will establish, steer, and inspire our AI Tiger Team and directly influence how engineering teams utilize artificial intelligence throughout the software development lifecycle (SDLC). Key Responsibilities: - 50% Delivery and Execution - Leads portfolio level Principal meetings to maintain alignment, consistency and knowledge sharing; Creates and architects foundational code elements that can be reused across a portfolio; Develops POCs with new technologies and paves the way for portfolio adoption; Tracks and monitors efficient usage of cloud resources and drives cost reduction opportunities and enhancements - 10% People - Acts as a point of escalation for teams facing extremely complex challenges; Presents at and attends conferences and learns how to apply new technologies and concepts; Provides leadership, mentoring, and coaching to direct reports; Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback; Attracts, retains, develops, and motivates top talent - 15% Strategy and Planning - Works with a Distinguished Engineer to define technology solutions (open source or vendor) teams should be exploring and/or leveraging; Works across local teams to unify strategy and alignment; Identifies and removes potential roadblocks & bottlenecks across large cross-functional projects and initiatives; Participates in and influences development of technology roadmaps within a given portfolio; Drives thought leadership and innovation within a given portfolio - 25% Support and Enablement - Point of escalation for high-priority issues and outages as they arise; Fields questions from project, product, and support teams; Helps solve technology disputes across local teams; Works with vendors to help identify and implement feature enhancements in software products; Evangelizes successful usage of tooling and technology with local teams Direct Manager/Direct Reports: - This position reports to various individuals - This position has 4-6 direct reports Travel Requirements: - Typically requires overnight travel 5% to 20% of the time. Physical Requirements: - Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: - Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. - Expertise in at least two technologies used by THD IT - Experience with common business processes used in the retail industry - Experience in Agile/Lean development environments - 7 years of relevant work experience - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent in a field of study related to the job - Typically requires overnight travel less than 15% of the time Preferred Qualifications: - 10+ years of software engineering experience, with at least 4+ years leading architecture in a Principal or Senior Principal capacity for a major consumer-facing mobile application. - Transformation Track Record: Proven track record of executing a major technology renovation or modernization strategy (preferably containing SDUI, KMP, and GraphQL BFF elements). - Distributed Systems Mastery: Expert knowledge of microservices, server-side GraphQL patterns, and high-performance, multi-layered JVM in-memory caching. - AI Expertise: Practical, hands-on experience using GenAI APIs, LLM prompt engineering, and code-generation tools/agents to accelerate development. - Leadership & Influence: Outstanding communication and presentation skills, with a proven history of writing technical white papers, presenting architecture to executive leadership, and driving technical alignment across large engineering organizations (50+ engineers). Tech Stack - Kotlin Multiplatform (KMP): Architecting shared business logic layers. - Server-Driven UI (SDUI): Designing extensible layout engines to dynamicize screen rendering. - Native Platforms: Proficient in Android (Kotlin, Jetpack Compose) and iOS (Swift, UIKit, SwiftUI). - GraphQL & Federation: GraphQL (Netflix DGS) and GraphQL Federation layers. - Backend Stacks: Spring Boot 3.5, Java 21, REST APIs, and microservices integrated with core services like SearchNav, ProductGateway, and TypeAhead - Automated unit and integration testing using JUnit 5, XCTest, MockK, Espresso, and XCUITest. - Visual regression testing with Paparazzi and Shot. - Mobile-specific delivery pipelines including Bitrise, Fastlane, TestFlight, and Firebase App Distribution. - Automated security practices including Static (SAST) and Dynamic (DAST) Application Security Testing. - Performance instrumentation using New Relic, GCP Cloud Monitoring, Prometheus, and distributed tracing spanning hybrid mobile-to-backend journeys. Authoring & Personalization - Contentful (CMS), Adobe Target, and centralized remote configuration. Minimum Education: - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: - No additional education Minimum Years of Work Experience: - 7 Preferred Years of Work Experience: - No additional years of experience Minimum Leadership Experience: - None Preferred Leadership Experience: - None Certifications: - None Competencies: - Courage - Drives Vision and Purpose - Global Perspective - Nimble Learning - Self-Development - Attracts Top Talent - Builds Effective Teams - Collaborates - Cultivates Innovation - Drives Engagement - Manages Complexity - Situational Adaptability - Communicates Effectively - Develops Talent - Drives Results For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $170,000.00 - $280,000.00
Role Description As a Lead AI Engineer, you will be responsible for designing and implementing multi-agent AI systems and autonomous business workflows. Your key responsibilities include: - Design and implement multi-agent AI systems and autonomous business workflows - Develop and deploy LLM-based applications using LangChain, LlamaIndex, and Hugging Face ecosystem - Build and maintain RAG (Retrieval-Augmented Generation) pipelines and vector databases - Integrate LLMs with external systems and enterprise applications via APIs - Perform LLM fine-tuning, prompt engineering, and model performance optimization in production - Build conversational AI interfaces, chatbots, and AI-powered applications - Advise on best practices for AI agent development and enterprise AI integration - Manage stakeholder communication regarding AI capabilities, limitations, and project timelines - Produce AI system architecture and technical design documentation Qualifications - 4-6 years of experience in AI engineering - Bachelor's degree in Computer Science, AI/ML, or equivalent experience required Requirements - Python, FastAPI, Flask - LangChain, LlamaIndex, Transformers library, PyTorch - OpenAI API, Azure OpenAI, Anthropic Claude - AWS Bedrock, Google Vertex AI / Google Cloud AI - Vector databases: Pinecone, Weaviate, ChromaDB - JavaScript / TypeScript for AI frontend integration - Git, Docker, Kubernetes - SQL / NoSQL databases for AI data management - MLOps tools and practices - API development and Postman for API testing Location & Work Model - Fully remote with a preference for candidates based in the Eastern region of the U.S. to support overlap with international teams - Virtual interviews Engagement Details - Contract engagement approximately 3 months - Early shift availability preferred to accommodate collaboration with teams in India and the UK
Alight Inc. (NYSE: ALIT) is a leading cloud-based human capital technology and services provider
Role Description The AI Enablement & Governance Lead – Policy, Controls & Compliance enables responsible and scalable AI adoption by defining clear AI governance policies, standards, and control requirements across the AI lifecycle. This role translates regulatory expectations and industry frameworks into practical, enforceable requirements and documented control expectations. The role partners closely with AI Engineering, Legal, Privacy, Security, and Audit teams to define governance and compliance requirements that are embedded by design, ensuring AI solutions are auditable, sustainable, and aligned with enterprise risk and trust expectations. Key Responsibilities - Policy, Standards & Guideline Ownership - Owning, developing, and maintaining enterprise AI governance policies and standards, including Responsible AI principles, acceptable use, documentation requirements, and defined risk thresholds. - Establishing and maintaining the AI policy hierarchy, ensuring clear alignment between enterprise policy, supporting standards, and control requirements. - Translating external regulatory expectations and industry frameworks (e.g., NIST AI Risk Management Framework) into clear, enforceable enterprise policies and standards. - Ensuring AI governance policies and standards remain current with evolving regulations, supervisory guidance, technology capabilities, and business use cases. - Defining policy exception criteria and escalation pathways; exception approval is governed through established enterprise processes. - AI Controls Definition & Documentation - Identifying, defining, and documenting AI governance controls that enable compliance with policy, regulatory, and risk management obligations. - Developing clear control statements that articulate control intent, scope, applicability, and expected evidence artifacts across the AI lifecycle. - Defining minimum control requirements based on AI risk tier, model characteristics, data sensitivity, and usage context. - Partnering with engineering, security, and delivery teams to ensure AI controls are implementable, measurable, and embedded into SDLC and operational workflows. - Maintaining authoritative documentation of AI controls to support audit, regulatory review, and internal assurance activities. - Client AI Governance & Trust Support - Supporting client‑facing teams by providing standardized, defensible AI governance policy and control content for inquiries, RFPs, and due diligence requests. - Assisting in preparing clear, business-friendly explanations of AI governance practices for clients and auditors. - Providing guidance to ensure AI usage aligns with contractual, regulatory, and trust expectations. - AI Compliance, Risk & Assurance Support - Providing guidance on policy and control alignment to ensure AI usage meets contractual, regulatory, and trust expectations. - Supporting AI risk classification, documentation traceability, and audit readiness across AI use cases, models, tools, and vendors. - Assisting with preparation and maintenance of AI governance evidence for audits, regulatory reviews, and client inquiries (e.g., SOC 2, ISO, due diligence). - Tracking AI‑related findings and remediation status to inform continuous improvement of governance policies, standards, and controls. Qualifications - 5–8+ years of experience in AI governance, model risk management, compliance, audit, privacy, or related risk functions. - Industry certifications such as Certified AI Governance Professional (AIGP), Advanced in AI Audit (AAIA), Risk & AI Certificate (RAI), or similar credentials. - Demonstrated ability to translate technical AI concepts into policies, standards, and control requirements. - Practical, risk‑based mindset with the ability to balance compliance rigor with business adoption. - Strong written communication skills, judgment, and attention to detail. Application and Interview By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position. Alight requires all virtual interviews to be conducted on video. Please be aware that Alight is a camera-on culture and may require occasional travel to one of our physical office locations. Our Commitment to Inclusion We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future. As part of this commitment, Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com. Equal Opportunity Policy Statement Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ disabled persons, disabled veterans, and other covered veterans. Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request reasonable accommodations/modifications by contacting their recruiter. Authorization to Work in the Employing Country Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight. Salary Pay Range - Minimum: 110,000.00 USD - Maximum: 150,000.00 USD Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography. Alight makes these decisions on an individualized, non-discriminatory basis. Bonus and/or incentive eligibility are determined by role and level. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: Wellbeing and Benefits Selector Page - Alight.
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Role Description A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations — with a strong emphasis on compliance, reliability, and end-to-end ownership. What You'll Do - Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance. - Design and build scalable, production-ready ML systems with high availability, performance, and reliability. - Develop and maintain MLOps pipelines — including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies. - Monitor production models for drift (model, data, accuracy degradation) and overall system health. - Build and integrate REST APIs to connect ML services into enterprise cloud applications. - Optimize models for latency, scalability, reliability, and operational cost. - Provide technical leadership on AI/ML initiatives across the organization. - Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders. - Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows. Qualifications - 8+ years of professional software engineering and machine learning experience. - Healthcare domain experience is mandatory — including HIPAA compliance and handling of sensitive patient data (PHI/PII). - Demonstrated ownership of end-to-end ML lifecycle from data preparation through deployment, monitoring, and retraining. - Experience designing and operating production-grade ML systems at scale. - Hands-on MLOps: CI/CD pipelines, model registry, feature stores, automated deployment, monitoring, and rollback. Required Technical Skills - Languages: Python, SQL - Platforms: Databricks (production), Apache Spark (distributed computing), MLflow, Feature Store, Model Registry - Cloud: Azure, AWS, and/or GCP for ML workloads - Infrastructure: Docker, Kubernetes, REST APIs, Git, CI/CD pipelines - Strong debugging and performance-tuning skills; excellent stakeholder communication. Nice to Have - LLMs in production, prompt engineering, RAG, and/or GenAI applications - Scala - Azure ML, SageMaker, or Vertex AI - Distributed ML architecture design - HIPAA-compliant AI solution design experience Compensation & Details - Rate: $70–75/hr on W2 (equivalent to ~$145,600–$156,000 annualized) - Type: W2 Contract - Visa sponsorship: Not available — open to all work-authorized candidates Location - Primary location: San Francisco, CA - Additional locations considered include Los Angeles, CA and New York City, NY. - Remote-friendly role.
Syndio builds expert-backed technology that helps companies measure, achieve, and sustain workplace equity.
Role Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On - Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). - The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it. - Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. - The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. - Clarifying, designing, and implementing compliance and legal requirements for Syndi. Qualifications - 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). - You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue. - You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. - You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. - Strong written communication — our operating model runs on design docs and PR review across team boundaries. Nice to have - Experience being the platform side of a platform/product relationship. - SSE/streaming systems. - Compliance-adjacent engineering (data minimization, auditability). - Prior Staff scope. Benefits - 💰 Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. - 🏆 Syndio Equity. So you can share in Syndio’s success. - 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. - 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. - 🏥 Life Insurance & Disability. Syndio covers the full premium. - 📍Remote-first in US + Alberta; in Calgary, non-mandatory office available #LI-Remote. Role Progression - First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. - First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. - First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Senior Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. - Recruiter Screen (25 min) - Hiring Manager Interview (30 min) - Technical Evaluation - Design Skills (60 min) - Crossfunctional Team Interviews (2 x 30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
• Build, deploy and maintain world class models, classifiers and algorithms • Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms • Work closely with specialists to create data labeling guides and support labeling efforts • Collaborate with product teams to maintain and deploy models, algorithms, and model serving infrastructure • Present technical work at conferences and external forums • Identify novel solutions for solving online child safety problems
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• Design, evolve, and scale the Customer Success AI platform, including reusable services and reference architectures that support multiple AI products and internal AI experiences • Build and maintain foundational AI infrastructure such as orchestration services, context engines, memory services, workflow execution frameworks, enterprise integrations, and scalable architectures for multi-agent systems • Optimize platform capabilities across model routing, latency, cost, reliability, observability, governance, and security to ensure enterprise-grade performance and resilience • Lead technical architecture and engineering standards across multiple AI products, mentoring AI Engineers and driving engineering excellence through reusable frameworks, patterns, and platform capabilities • Partner cross-functionally with Product Management, Engineering, IT, Security, Data, and Customer Success teams to evaluate emerging AI technologies, shape adoption strategy, and align platform evolution with long-term business and enterprise architecture needs
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AI, Cloud, Distributed Systems