This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Peraton is seeking a mid-level AI/ML Engineer to design, develop, and deploy scalable AI/ML and generative AI solutions in support of a federal customer mission. This role focuses on production-ready AI systems, LLM-based workflows, and automation solutions that enhance operational performance and decision-making. - Design and implement generative AI solutions from pilot through production deployment. - Develop agent-based LLM workflows with structured outputs and tool integrations. - Perform advanced data modeling, predictive analytics, and statistical analysis. - Deploy AI/ML models using modern DevOps practices (Git, CI/CD). - Integrate AI capabilities with enterprise systems and cloud environments. - Implement monitoring, guardrails, and governance controls for responsible AI. - Provide technical guidance and collaborate across multidisciplinary teams. Qualifications - Basic Qualifications: - Bachelor’s degree with 8+ years of experience or Master’s degree with 6+ years experience in a STEM discipline or high school diploma/equivalent and 12 years of experience - Demonstrated experience building and deploying AI/ML solutions in production environments. - Strong proficiency in Python; experience with APIs and cloud AI platforms. - Experience with LLM platforms (e.g., Azure OpenAI, GPT models, Claude, Gemini). - Experience with RAG architectures and advanced prompt engineering. - U.S Citizenship; must have the ability to obtain/maintain a Public Trust clearance. - Preferred Qualifications: - Experience with TensorFlow, PyTorch, or similar ML frameworks. - Experience with agent frameworks or autonomous AI workflows. - Familiarity with Anthropic MCP or similar orchestration protocols. - Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer). Company Description Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a world‑class customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels. Become a part of our story. At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what’s possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery. About the Role As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You’ll work across the full ML lifecycle—including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions. What You’ll Do (Responsibilities Vary by Level) Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices. Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams. Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction. Education Bachelor’s degree (STEM preferred). Experience • Entry-Level: 0–2 years (academic, internship, or professional). • Mid-Level: 3+ years building ML solutions. • Senior-Level: 3+ years deploying and operating ML systems. Technical Skills • Python (pandas, numpy, scikit-learn) and software engineering foundations. • ML libraries: -Experience with libraries such as scikit-learn, XGBoost, LightGBM required. -Experience with PyTorch/TensorFlow is a plus. • SQL for data exploration and feature engineering. • Knowledge of model evaluation and interpretability (e.g., SHAP). • Willingness to learn Terraform, Java, and Typescript (no prior experience required). Soft Skills • Strong communication and collaboration abilities. • Ability to work with technical and non-technical partners. • Leadership and mentoring experience for senior roles. Preferred Qualifications • Spark or distributed computing. • Familiarity with APIs, containers, CI/CD, monitoring, drift detection. • MLflow, SageMaker, Azure ML, Docker, CI/CD. • AWS, Azure, or GCP cloud experience. • Experience with deep learning, NLP, computer vision, or LLM/RAG. • Prior ownership of end-to-end ML products. • Insurance or financial services experience. #LI-PG1 Skills Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow Compensation Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

HockeyStack is building the AI system that runs B2B sales and marketing. We integrate with every tool across the go-to-market stack, combine it with first and third-party data, and build the most complete event-level data foundation in the industry. On top of it, we: - Mine every won and lost deal to reverse-engineer the patterns that drive revenue, then deploy agents that guide reps through the optimal process deal by deal, in real time. - Surface what's really driving pipeline and what isn't, replacing weeks of manual analysis with answers on demand. - Learn from every outcome and every rep interaction, getting sharper over time — not just when someone rewrites a prompt. We're not wrapping LLMs around prompts and guessing. We've built a structured reasoning layer that makes agent execution deterministic and self-improving — something no other player in the market has done. Y Combinator alum. $26M Series A led by Bessemer Venture Partners. 3× YoY growth. 8-figure ARR. 60+ TB of GTM data processed. We move fast and hire people who are ready to win. This role is open to being located in our San Francisco HQ or fully remote. 🚀 Your Mission As a ClickHouse Staff Engineer, your mission is to turn massive volumes of GTM data into a fast, reliable, and accurate analytics infrastructure that our customers and our AI Agents depend on every single day. Build a data platform that can enrich 10s of Terabytes an hour, insert 10M records a second, and process complex queries for human & Agents. Push ClickHouse to its performance limit while achieving 99.999% uptime. 🔧 What You’ll Do - Manage and scale ClickHouse clusters (replication, sharding, distributed tables) to 100s of TBs. - Maintain data consistency across replicas and shards. - Profile and optimize heavy ETL/ELT queries and table engines. - Tune key configs (max_threads, max_memory_usage, merge settings, I/O schedulers). - Benchmark cluster performance (ingest throughput, query latency, merge rate). - Proactively work with engineers to optimize schema and query patterns. - Improve observability stack on DataDog. - Set up alerting on query performance, merges, replicas, and disk usage. - Own backup and restore processes (to secondary cluster and S3). - Plan and execute upgrades with zero or minimal downtime. - Test and document disaster recovery scenarios. - Own security within ClickHouse, including access control, encryption where applicable, and adherence to internal and regulatory data protection requirements. - Resolve production issues and figure ways to prevent them. - Participate in the Architecture Review process to ensure major changes to the product portfolio have data flow and ClickHouse considerations represented at the very start. 🧬 What We’re Looking For - Ownership-first mindset — you take initiative, move fast, and figure things out - Thrive in early-stage, high-urgency environments where speed and impact matter - Curious, self-aware, and feedback-driven — you bring energy, not ego - See this role as a defining chapter — not a stepping stone or side quest - 5+ years hands-on ClickHouse experience and 8+ years working as a DBA with distributed OLAP databases - Have dealt with data volume at scale (i.e. 100s of TBs) & understand the challenges this brings - Strong systems background with deep understanding of IO performance and network protocols, specifically for high-volume high-throughput analytical workloads (reads and writes!) - Proficiency in writing and optimizing complex SQL queries - Experience with Linux server administration and storage (i.e. RAID) - Experience with monitoring/alerting tools is a strong plus, particularly for database metrics and observability - Familiarity with data infrastructure, reporting systems, or analytics-heavy SaaS products ✨ Why Join Now? We’re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You’ll be joining a company with real traction, rapid growth, and meaningful backing—where every person still shapes the outcome. This isn’t just a job. It’s a chance to build something category-defining with people who care deeply about doing it right. The salary range for this role is $200,000– $300,000 USD base pay annually, depending on experience and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is responsible for teaching classes as assigned by the academic dean. Methodologies include: face-to-face, hybrid, video conferencing, live virtual, and online. - Evaluate and report student performances and progress in courses in accordance with college and division policies and procedures - Must meet Minimum Faculty Standards for hire and adhere to college policies and procedures - Promote, develop, and deliver quality education programs with the intent to retain students to graduation - Demonstrate IWCC’s core mission, vision, and values - Meet minimum expectations for use of the college Learning Management System - Assess and document student learning outcomes in courses each term in accordance with college policies and procedures - Organize and teach labs as assigned by the academic dean - Complete required professional development and trainings - Exhibit a positive and professional demeanor with all members of the college and community - Promote, model, and enforce academic integrity - Be available to answer student questions outside of class time - Help students achieve their educational and career goals - Refer students to college resources - Maintain confidentiality in accordance with FERPA and Title IX regulations - Adhere to safety policies and procedures - Other duties as assigned Qualifications - To teach arts and science courses: Master’s degree is required and at least 18 graduate credit hours in the discipline - To teach career and technical education (CTE) courses: Depending upon discipline one of the following requirements must be met - Bachelor’s or graduate degree in the discipline - At least 18 undergraduate credit hours in the discipline - Associate degree in the discipline if considered terminal and 3000 hours of recent and relevant work experience - Special training and 6000 hours of relevant tested work experience - Some disciplines require additional licensure or certification - Excellent verbal and written communication skills - Strong organizational skills including the ability to multitask and meet deadlines - Excellent customer service skills - Proficient use of Microsoft Office products (Outlook, Word, Excel, PowerPoint, Teams) - Ability to read, write, and speak English fluently - Enthusiastic and dedicated to the challenges of helping other people - Ability to function collaboratively as part of a fast-paced, customer-oriented team - Professional in communication, appearance, relationships, and responsiveness - Positive attitude - Self-starter with the ability to perform with little or no direct supervision Physical Demands - The employee frequently is required to sit for extended periods of time and use hands to operate computer keyboard, telephone and basic office equipment - While performing the duties of this job, the employee is regularly required to talk and hear - Ability to lift up to 10lbs Cognitive Requirements - Reading, Writing, Calculating - Social Interaction Skills - Reasoning/Analysis - Works with Minimal Supervision