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Job title: PhD Quantitative Researcher (Cross-Asset)

Firm: Elite Quantitative Buy-Side Fund – Multidisciplinary team of academic researchers, finance industry experts and STEM subject matter experts.

Salary: Up to $200,000 starting base + exceptional bonus package.

Location: Chicago (Onsite)

This firm is a scientific and data-driven systematic fund who are currently at the forefront of systematic trading.

As a result of their stellar and continued success in the industry, they're currently aggressively scaling their quantitative strategies business in Chicago. This is an invaluable opportunity to develop and implement systematic strategies alongside genuine experts in the field of quantitative trading.

Additional Information:

• Market leader within computational finance and systematic trading. Arguably one of the best industry performers of the last 3 decades.
• Renowned for developing quantitative strategies in systematic trading across an array of investment strategies and products (Equities, Futures, FI, Macro, Vol).
• Multidisciplinary team of exceptional subject matter STEM experts from finance, academia, and technology.
• Highly collaborative trading environment with data and execution managed centrally.
• Furthermore they're exploring and integrating fundamental/discretionary trading with data-driven quantitative trading.

Role:

• Explore and leverage an array of complex and noisy data (market, tick, options, alt) to identify statistical patterns and unique market opportunities.
• Contribute towards existing and novel strategies by refining methodologies and exchanging research ideas.
• Leverage sophisticated statistical methods to understand and manage risk, profitability and transaction costs in conceptualizing new trading ideas.
• Back-test and implement productionized trading models in a live trading environment.
• Contribute to the full lifecycle research strategy from data ingestion to alpha generation.

Required skills:

• Academic degree in mathematics, statistics, physics, computer science, or another highly quantitative discipline.
• Industry-related internship either within computational finance or technology. (Wil consider candidates with internships in other related data-driven fields).
• Knowledge of algorithms, data structures, probability and statistics.
• Experience of dealing with a multitude of noisy data challenges in a data-driven environment.
• Proficient in either C++ or Python.

Desirable skills:

• Experience with translating mathematical models and algorithms into code.
• Proficient in exploring and attaining value from noisy and complex data sets (alt, market, options, tick).

If this opportunity is of interest, please apply direct or email me directly at .

Immediate need for a talented USA-Systems Engineer III (IT). This is a 08+ Months Contract opportunity with long-term potential and is located in Waltham, MA (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-06360

Pay Range: $60 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, deploy, and operate production‑grade AI/ML systems and data pipelines in an agile environment.
• Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
• Develop user‑facing applications through APIs and/or graphical interfaces.
• Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
• Build and optimize compute pipelines supporting data processing and model training.
• Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
• Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
• Ensure high standards for code quality, documentation, and knowledge transfer.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Key Requirements and Technology Experience:

• Skills-Experience in agile environments, with proven experience deploying and operating applications in production, and Python programming skills
• Experience with GitHub Actions and CI/CD pipeline implementation, Kubernetes-based container orchestration, and GitOps practices (ArgoCD or equivalent). DevOps, automation
• Experience in Production deployment of machine‑learning models and MLOps practices, API and/or web application development, and familiarity with major cloud platforms (AWS, Azure, or GCP)
• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
• Minimum of 5 years of professional software engineering experience.
• Demonstrated delivery of production‑level systems with measurable impact.
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.
• Technical Skills:
• GitHub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• Git Ops practices (Argo CD or equivalent).
• Strong Python programming skills.
• API and/or web application development.
• Production deployment of machine‑learning models and ML Ops practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).
• English: fluent (mandatory). French: nice to have.
• Experience in pharmaceutical, biotechnology, or life‑sciences environments.
• Awareness of drug discovery, vaccine development, or experimental sciences.
• Experience with workflow orchestration tools such as Meta flow.
• Experience in mentoring or technical training.
• Contributions to open‑source or technical communities.
• Experience designing scalable data engineering solutions.
• Manager's Note:-Hybrid working model with a minimum of three days per week on site in Waltham, MA.
• Agile and fast-paced team environment focused on rapid iteration and delivery.
• Strong cross‑functional collaboration across Vaccines R&D, Digital, and CMC.
• Open to candidates willing to relocate at their own expense
• Free parking site
• Possibility of extension, with a gap in work at the end of year (Nov/ Dec) and restart work in January
• English: fluent (mandatory)
• Primary Manager sits in France, local team will be present in EU and US
• Team is building a system of predictive models
• Software Engineer, previous experience moving models in to prediction

Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Company Description

At Titl, we simplify the real estate process by eliminating paperwork, legal obstacles, and delays associated with buying, owning, or selling a home. Our advanced technology ensures transparency and peace of mind throughout every transaction. We provide a modern and user-friendly way to handle property—designed for today and prepared for future needs.

Role Description

We're seeking an experienced Full-Stack Engineer to join our team working on a sophisticated property data research and report generation platform. This role involves building and maintaining enterprise-grade systems that automate property data extraction from government sources, generate comprehensive property reports, and manage complex business workflows including payments, authentication, and blockchain integration.

What You'll Work On

• Backend Services: Develop and maintain NestJS microservices handling property data scraping, PDF generation, report aggregation, and enterprise account management
• Frontend Applications: Build responsive Next.js applications with complex state management and real-time updates
• Data Pipeline: Work with automated scraping systems using Puppeteer and AI-powered document processing (Google Document AI, OpenAI)
• Integration Development: Implement OAuth flows, Stripe payment processing, webhook handling, and third-party API integrations
• Queue Management: Design and maintain Bull queue systems for background job processing and async workflows
• Blockchain Integration: Work with Polymesh blockchain for property ownership verification and asset tokenization
• Database Design: Create efficient Prisma schemas and optimize PostgreSQL queries for complex property data relationships

Required Technical Skills

Core Stack (Must Have)

• Backend: Advanced proficiency in NestJS with deep understanding of dependency injection, decorators, guards, and service patterns
• Frontend: Expert-level Next.js 14 (App Router) and React with TypeScript
• Database: Strong Prisma ORM experience and PostgreSQL optimization skills
• TypeScript: Production-level TypeScript across full stack
• API Design: RESTful API design, DTOs, validation, and Swagger documentation Infrastructure & DevOps
• Docker: Container orchestration and development environments
• Cloud Platforms: Google Cloud Platform (Cloud Storage, Cloud Run)
• Queue Systems: Bull or similar job queue systems (Redis-backed)
• Monorepo: Experience with pnpm workspaces or similar monorepo tooling Authentication & Payments
• OAuth 2.0: Multi-provider authentication (Google, Facebook, LinkedIn)
• JWT: Token-based authentication and authorization patterns
• Stripe: Payment processing, webhooks, subscription management, and usage-based billing Specialized Skills
• Web Scraping: Puppeteer or similar browser automation tools
• PDF Processing: PDF generation, manipulation, and data extraction
• AI/ML Integration: Experience with AI APIs (OpenAI, Google AI, etc.)
• Background Jobs: Async processing, retry logic, and error handling

Highly Desired Skills

• Blockchain: Polymesh or Ethereum blockchain integration experience
• Document Processing: OCR, document AI, or legal document processing
• Property/Real Estate Domain: Understanding of property records, deeds, liens, title commitments
• Legal Tech: Experience with legal document workflows or compliance systems
• Testing: Jest, testing-library, E2E testing frameworks
• Performance Optimization: Query optimization, caching strategies, lazy loading
• Security: OWASP best practices, rate limiting, encryption

Architecture & Design Requirements

You should be comfortable with:

• Design Patterns: Service-oriented architecture, repository pattern, factory pattern
• Dependency Injection: Understanding NestJS DI container and module system
• Database Relations: Complex multi-tenant data models with proper isolation
• State Management: React Context, server/client component patterns
• Error Handling: Comprehensive error handling, retry logic, fallback mechanisms, API Security: Rate limiting, API key management, webhook signature verification

Experience Requirements

• 5+ years of full-stack development experience
• 3+ years with TypeScript in production environments
• 2+ years with NestJS or similar enterprise Node.js frameworks
• 2+ years with modern React and Next.js
• Experience building production SaaS applications with multi-tenant architecture
• Track record of shipping complex features end-to-end
• Experience with third-party integrations and webhook systems
• Domain Knowledge (Preferred)
• Understanding of property data and real estate records
• Familiarity with government data systems and public records
• Knowledge of legal document structures (deeds, liens, mortgages, title commitments)
• Experience with regulated industries and compliance requirements
• Understanding of Miami-Dade County or similar municipal systems (bonus)

Development Practices

You should have experience with:

• Git workflows: Feature branches, pull requests, code review
• Documentation: Writing clear technical documentation and API specs
• Testing: Unit tests, integration tests, E2E tests
• CI/CD: Automated testing and deployment pipelines
• Agile: Working in iterative development cycles
• Code Quality: ESLint, Prettier, TypeScript strict mode

Problem-Solving Skills

We're looking for someone who can:

• Debug complex distributed systems across multiple services
• Optimize database queries and reduce API response times
• Design scalable architectures for high-volume data processing
• Handle edge cases in automated scraping and data extraction
• Troubleshoot integration issues with third-party services
• Implement robust error handling and monitoring
• Communication & Collaboration
• Clear written communication for documentation and code reviews
• Ability to explain technical concepts to non-technical stakeholders
• Collaborative approach to problem-solving
• Proactive in identifying and addressing technical debt
• Experience mentoring junior developers (preferred)
• Package Manager Note
• This project uses pnpm exclusively for monorepo management. Experience with pnpm workspaces is preferred, but npm/yarn monorepo experience transfers well.

What Makes You Stand Out

• Contributions to open-source projects
• Experience with LangChain or LangGraph for AI orchestration
• FastAPI or Python experience (for AI service integration)
• Understanding of title insurance or property ownership verification
• Experience with Puppeteer clusters and browser farm optimization
• Background in fintech or regulated industries
• Experience with multi-environment deployments (local, staging, production)

Working Style

This role requires:

• Attention to detail when working with legal and financial data
• Systematic approach to debugging complex systems
• Ability to work independently on ambiguous problems
• Comfort with reading and understanding existing codebases
• Pragmatic decision-making balancing speed and quality
• Tech Stack Summary: NestJS • Next.js • TypeScript • Prisma • PostgreSQL • Puppeteer • Bull • OAuth • Stripe • Google Document AI • OpenAI • Docker • GCP • Polymesh • pnpm
• This role offers the opportunity to work on challenging technical problems at the intersection of PropTech, LegalTech, and AI, building systems that handle real-world property data at scale.

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities

• Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.

Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
• Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with LLMs, vector databases, and RAG pipelines
• Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
• Strong collaboration skills, with experience working closely with engineering and product teams.
• Retail and/or e-commerce experience preferred.

Competencies

• Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
• Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

• Competitive salary.
• Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
• Paid Time Off plan for year-round Boot Barn Partners.**
• Medical, Dental, Vision and Life Insurance.**
• 401(k) plan with generous company matching.
• Flexible schedules and work/life balance.
• Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $125,000.00 - $150,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

• Standing, walking and squatting less than fifty percent of the work shift.
• Required to lift, move and carry up to 40 pounds.
• Ability to read, count and write to accurately complete all documentation and reports.
• Must be able to see, hear and speak in order to communicate with partners and customers.
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
• Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[ ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[ ] Moderate: Mostly standing, walking, bending, frequent lifting

[ ] Arduous: Heavy lifting, bending, crawling, climbing

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

• The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
• Noise levels are considered moderate.

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

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Company 

Myrias Optics, Inc. is a fast-growing startup using proprietary nanoimprint technology to revolutionize the way optical components and systems are conceptualized, designed, and manufactured.  The company is positioned to disrupt markets across a wide range of applications including consumer electronics, AR/VR, 3D scanners and LiDAR, imaging systems, optical communications, medical equipment, optical computing and more. Our unique all-inorganic imprinted optics enable metalenses, diffractive optics, waveguides all manufactured using wafer level process.  By removing any organic material, we not only eliminate environmental and reliability issues but at the same time enable more complex designs with unmatched optical performance and highly cost-effective manufacturing.     

Website:   

POSITION – Senior Optical Design Engineer 

Reporting to the Lead, the Senior Optical Design Engineer will collaborate with a talented team of engineers and scientists to help envision and design cutting-edge Myrias Optics components and systems. Specifically, this position will head up Myrias’ design efforts, shaping the optical components and subsystem for our external customers and internal products.  This position will also be responsible for growing and managing the optical design team. This is an exciting opportunity for a highly motivated and capable engineer to gain expertise in the growing fields of meta-optics, waveguides, and diffractive optics.  Together, we can shape next-generation optical systems for consumer devices, AR/VR, medical instrumentation, automobiles, robotics, and more.  

POSITION TYPE: Full time, on-site  

Salary Range: $135,000 - $160,000

LOCATION: Amherst, MA 

RESPONSIBILITIES 

• In collaboration with the technical team, the candidate will perform day-to-day metasurface design and analysis based on Myrias’ proprietary all-inorganic nano-imprint materials and processes. 
• Expand Myrias’ design capabilities, including development of simulation workflows and modeling pipelines using in-house developed codes, to advance our unique and proprietary optical design environment.   
• Design and simulate optical components and sub systems (waveguides, diffractive optics, meta-optics, etc.)  
• Automate design tasks using Python and MATLAB for next-generation and future metasurface products.   
• Perform tolerance studies, optimize, and iterate on designs to meet manufacturing requirements for Myrias’ products.  
• Coordinate with process development and production teams to bridge the gap between design and manufacturing.  
• Support specification and acquisition of key design tools and hardware. 
• Providing customer support for new designs and products and participating in customer meetings. 
• Create detailed internal specification documents for simulation methodologies, design rules, and customer product reports. 

QUALIFICATIONS 

• Ph.D. or MS.c. with 5+ years of related experience in optical engineering, electrical engineering, or equivalent field. 
• Strong experience conducting design and simulation of optical components and systems, such as diffractive optics, imaging systems, optical waveguides, laser systems. 
• Solid understanding of metasurface physics, and diffractive, geometrical, and ray optics. 
• Proficiency in Python, MATLAB, and C/C++ for scientific computing, and workflow automation. 
• Extensive hands-on experience with commercial and custom optical design and simulation tools, including RCWA (e.g., S4), FDTD (Meep or Lumerical), Zemax/CodeV, and RSoft; familiarity with additional modeling techniques and tools such as TMM, FEM, LightTrans, etc., is highly desirable. 
• Proficiency with Windows, Linux, and macOS environments, as well as experience using SLURM for workload and job management. 
• Experience with optical characterization and the ability to experimentally validate designs in a laboratory setting. 
• Strong interpersonal and technical communication skills. 
• Familiarity with CAD design packages (e.g., SolidWorks or AutoCAD) are desirable. 
• Familiarity with imprint or nanofabrication processes and cleanroom experience are a plus. 
• Ability to bridge technology development with commercial demands.  
• Comfortable with the fast-paced startup or early-stage business environment. 
• Entrepreneurial spirit, detail-oriented, and self-driven with a hands-on, roll-up-the-sleeves mentality.  

PREFERRED QUALIFICATIONS 

• Experience developing custom simulation tools and optimization pipeline. 
• Experience with integrating machine learning and inverse design methods into metasuface design process. 

WHAT WE OFFER 

• Competitive Compensation Package, including equity 
• Full Medical and Dental plans 
• Insurance: Company paid disability insurance 
• Paid time off: Vacation and sick time 

EEO Statement 

Myrias Optics is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

APPLY 

If you are interested in the role, please submit your resume in .pdf format with a title of “[First name] [last name] Resume” to