This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description An early-stage startup is redefining how financial research is conducted by creating a declarative orchestration layer akin to "Vercel for financial research." This backend engineering role focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows. - Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems - Make spawning new research pipelines seamless and scalable Qualifications - Strong Python programming experience - Proficiency with cloud infrastructure and serverless compute (e.g., Modal) - Familiarity with relational databases such as PostgreSQL - Experience integrating with LLM APIs (OpenAI, Anthropic, xAI, Google) or LLM frameworks (e.g., PydanticAI) - Ability to work autonomously and quickly adapt to evolving tech stacks - Excellent problem-solving skills and a builder’s mindset Requirements - Prior experience with financial data APIs (e.g., S&P, FactSet, SEC Edgar) - Familiarity with AI tooling APIs (e.g., Exa, Parallel) - Previous successful engagements with other clients in similar contractor roles Benefits - Contractor position (no medical/paid leave) - Full-time dedication (40 hours/week) Company Description Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: - Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge - Leveraging that work to build real-world AI systems that solve mission-critical priorities for companies

About: SimplilearnSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally. ABOUT THE ROLEAs an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands-on experience in building intelligent systems using machine learning, deep learning, and neural networks. In this role, you will lead live online classes, mentor students through lab exercises and real-world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy-to-understand modules, you’ll help learners become proficient in the tools and techniques that drive AI innovation across industries. This is a part-time, remote role. All sessions are conducted live in a fully online, interactive format. RESPONSIBILITIES In this role, you will: - Create a positive, professional and inclusive learning environment, by: - Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn - Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences - Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas - Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication - Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by: - Providing constructive and timely feedback to students in the cohort - Assisting in the management of Performance Action Plans for individual students who need additional support  - Serve as role model for students and as an ambassador for our brand, by: - Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public - Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources - Encouraging teamwork and seek feedback for continuous improvement QUALIFICATIONSYou are a great candidate for this role if you have: - 5+ years of hands-on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, TensorFlow, PyTorch, or other ML frameworks - A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning - Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis - Experience with the full ML lifecycle, from data pre-processing, feature engineering, and model selection, to model evaluation and deployment in real-world applications - Proficiency with the ML stack, including libraries like Pandas, NumPy, Scikit-learn, Keras, and working knowledge of big data tools such as Spark or Hadoop (optional but preferred) - Experience working with real-world data, including handling structured and unstructured datasets, data cleaning, and performing exploratory data analysis (EDA) - Previous teaching or mentoring experience, ideally in an online learning environment - A passion for teaching and the ability to simplify complex AI/ML topics to make them accessible to learners at various skill levels - Strong communication and presentation skills (verbal and written), with a focus on engaging and student-centric teaching methods - Professionalism, integrity, and empathy in all learner and team interactions. Compensation:The expected compensation for this role is $50 - $55 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to lead and execute advanced industrial control systems projects within a high-tech automation environment. The Senior Industrial Controls Engineer will drive the design, programming, and implementation of PLC, HMI, and drive-based systems, collaborating with cross-functional teams and mentoring junior engineers. You will own technical solutions end-to-end, from requirement validation and system design to testing, troubleshooting, and deployment, ensuring high reliability and compliance with customer standards. This position involves frequent interaction with internal stakeholders and customers, both on-site and remotely, and includes leadership in process improvement initiatives. The ideal candidate is highly autonomous, proactive, and experienced in complex automated system design and integration. - Lead the design, programming, and implementation of industrial control systems, including PLCs, HMIs, and AC/DC drives. - Develop and execute test strategies, generate reports, and ensure compliance with technical requirements. - Troubleshoot complex automation systems, perform root cause analysis, and provide effective solutions. - Document system configurations, functionalities, and team processes for technical transparency and knowledge sharing. - Collaborate with cross-functional teams and customers to gather requirements and validate technical solutions. - Coach, mentor, and supervise junior engineers, promoting best practices in industrial control engineering. - Support site implementations, release management, and process improvement initiatives across multiple locations. Qualifications - Bachelor’s degree in Electrical Engineering, Controls Engineering, Automation, Computer Science, or a related discipline. - Minimum of 8 years’ experience designing and implementing industrial control systems, including PLCs, HMIs, and drives. - Advanced experience programming Rockwell PLCs (ControlLogix, GuardLogix) and developing HMIs (Ignition 8, FactoryTalk ME/SE). - Knowledge of AC/DC drive control architecture, industrial networks, and electrical/mechanical schematics. - Strong troubleshooting skills and experience in automated systems engineering. - Leadership experience, including team organization, task prioritization, and mentorship. - Familiarity with JIRA, Agile methodology, and knowledge of Rockwell and Inductive Automation products is a plus. - Willingness to travel approximately 40% to customer locations in the U.S. and Canada. Benefits - Competitive base salary range of $120,000 – $165,000, depending on experience and location. - Comprehensive medical, dental, and vision coverage. - Disability and life insurance. - 401(k) retirement plan with company contributions. - Paid time off and flexible vacation policies. - Opportunities for professional development and career growth. - Remote work options and collaborative work environment.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include: - Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems. - Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems. - Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale. Responsibilities: - Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents. - Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows. - Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions. - Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments. - Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis. - Proactively identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns. - Define measurable quality standards (accuracy, faithfulness, task completion, latency, cost efficiency, robustness) and drive continuous system improvement. - Influence cross-team architecture decisions across ML, backend, and product engineering to ensure seamless integration of AI capabilities. - Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and roadmap planning. - Translate cutting-edge research advances into practical, high-impact production systems. Qualifications We Value: - Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. strongly preferred. - 7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale. - Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows. - Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines. - Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring. - Strong systems thinking: ability to design for scalability, latency constraints, cost efficiency, security, and long-term maintainability. - Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. - Proven ability to influence technical direction across teams as a senior individual contributor. - A strong bias toward action — able to prototype rapidly while maintaining production rigor. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. OTE Range: $230,000–$300,000 + Offers Equity