NLP Jobs in Pennsylvania.
All active NLP roles based in Pennsylvania.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Lead Data Scientist - Simulation / Optimization
Share this job
Company Description
Job Description
The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This pivotal AI leadership role is instrumental in establishing a robust culture of decision-making Agentic AI and creating the AI platforms, the "brain" of The Ark, designed to be leveraged by a broad community of AI and Data Science professionals within Govini.
As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Govini, leading new areas to apply advanced analytics to drive strategic business and national security results. You'll apply your deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization, to enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.
To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward.
This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travel
Scope of Responsibilities
- Drive the development of a complex, multi-modal decision intelligence system, serving as the central nervous architecture for integrating advanced simulation, optimization, and predictive modeling capabilities across The Ark's platforms.
- Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.
- Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.
- Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.
- Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape
- Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.
- Apply deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization.
- Enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.
- Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.
- Serve as the domain expert in a specific area of AI (e.g., Deep Learning, Natural Language Processing, Decision Science), driving the application and development of state-of-the-art methods within that specialization.
- Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.
- Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.
- Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
- Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, including advanced methods in simulation and optimization, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
- Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
- Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.
- Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.
Qualifications
- U.S. Citizenship is required
- Minimum of 7 years of professional experience working as a Data Scientist in an industry setting
- Oversee the full lifecycle of large-scale AI projects.
- Possess deep knowledge and the ability to apply techniques such as Discrete Event Simulation (DES), agent based modeling and Monte Carlo methods to model complex capabilities.
- Deep understanding and application of advanced optimization techniques, specifically including stochastic optimization.
- Deep understanding and practical experience with Bayesian optimization, causal discovery, and causal modeling.
- Ability to leverage simulation and optimization knowledge to enhance platforms for complex capability simulation and optimization in critical defense use cases.
- Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries
- Expertise in leveraging deep technical knowledge of AI solution internals (such as Deep Research systems) to design and implement custom, highly optimized solutions.
- Ensure timely project delivery and strategic goal alignment.
- Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
- Define robust software architecture for large-scale AI systems and project roadmaps.
- Translate high-level product requirements into actionable technical plans.
- Deliver production-ready AI solutions integrated with clients' data platforms and workflows.
- Drive the implementation of scalable AI/ML platforms.
- Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
- Champion innovation and best practices across the organization.
- Mentor and coach team members.
- Foster a high-performing culture of technical excellence and continuous growth.
- Help to the leadership to align AI strategy effectively with client needs.
- Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Desired Skills:
- A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas
- Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
- Experience in LLM post-training or fine-tuning
- Demonstrate strong National Security domain knowledge.
- Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
Ready to apply?
Apply to Govini
Forward Deployed Senior Data Scientist
Share this job
Company Description
Job Description
We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Govini, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.
In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment.
Scope of Responsibilities
- Develop AI/ML/DS systems to address defense problems.
- Develop new AI-based stack of technologies for particular customer needs.
- Development of evaluation solutions for AI deployments.
- Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.
- Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.
- Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.
- Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
- Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
- Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
- Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Qualifications
- U.S. Citizenship is required
- Oversee the full lifecycle of AI projects within Govini AI ecosystem.
- Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries
- Ensure timely project delivery and strategic goal alignment.
- Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
- Define robust software architecture for AI systems and project roadmaps.
- Translate high-level AI system requirements into actionable technical plans.
- Deliver production-ready AI solutions integrated with clients data platforms and workflows.
- Drive the implementation of scalable AI/ML platforms.
- Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
- Champion innovation and best practices across the organization.
- Mentor and coach team members.
- Foster a high-performing culture of technical excellence and continuous growth.
- Demonstrate strong National Security domain knowledge.
Desired Skills:
- A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas
- Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
- Experience in LLM posttraining or fine tuning
- Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
Ready to apply?
Apply to Govini
Lead Data Scientist - Knowledge Retrieval
Share this job
Company Description
Job Description
The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This crucial position is key to building a strong culture of advanced agentic search, deep research, retrieval, and AI, and to creating scalable AI platforms for the wider AI and Data Science community.
As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Govini, leading new areas to apply advanced analytics to drive strategic business and national security results. You will build and lead the development of advanced agentic search, knowledge retrieval, and deep research systems. These systems are designed to provide deep conversational knowledge explorations, robust problem solving, accurate question answering, and a suite of other search, recommendation, and discovery capabilities, transforming proprietary and commercial datasets into mission-critical insights.
To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward
This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travel
Scope of Responsibilities
- Drive the architecture and development of the 'Ark Brain,' a complex, multi-modal intelligent agent system for knowledge retrieval and deep research, serving as the central nervous architecture for powering agentic AI search, deep research, RAG, and knowledge graph systems across The Ark's platforms.
- Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.
- Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.
- Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.
- Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape
- Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.
- Lead the development of advanced agentic search, knowledge retrieval, and deep research systems.
- Drive the expansion of data-driven research and advanced analytics for strategic business and national security results.
- Design and deploy Agentic AI systems capable of deep conversational knowledge explorations, robust problem solving, and accurate question answering from proprietary datasets.
- Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.
- Serve as the domain expert in AI Search Science (ranking, query understanding, agentic search, deep research, embedding models, etc), driving the application and development of state-of-the-art methods within that specialization.
- Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.
- Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.
- Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
- Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
- Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
- Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.
- Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.
Qualifications
- U.S. Citizenship is required
- Minimum of 7 years of professional experience working as a Data Scientist in an industry setting
- Oversee the full lifecycle of large-scale AI projects.
- Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries
- Expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures and complex indexing strategies for proprietary, large-scale, heterogeneous datasets. Expertise in fine-tuning multi modal embedding models
- Proven ability to leverage state-of-the-art LLMs, multi-modal embedding models, vector databases, and knowledge graph systems to build production-ready knowledge retrieval, conversational AI search, and Deep Research systems.
- Practical experience building hybrid knowledge retrieval systems that combine advanced techniques like embedding models, knowledge graphs, and traditional methods (e.g., BM25), utilizing novel paradigms such as GraphRAG, RAG-RL, and other advanced retrieval strategies.
- Deep knowledge of and practical experience with ranking and reranking models, including multi-tower, bi-encoder and cross-encoder architectures, specifically within the context of search and knowledge retrieval systems.
- Expert proficiency in developing and deploying multi-agent AI systems and reasoning frameworks (e.g., ReAct, Chain-of-Thought) for complex knowledge exploration, robust problem-solving, and decision support within search and retrieval contexts.
- Ensure timely project delivery and strategic goal alignment.
- Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
- Define robust software architecture for large-scale AI systems and project roadmaps.
- Translate high-level product requirements into actionable technical plans.
- Deliver production-ready AI solutions integrated with clients' data platforms and workflows.
- Drive the implementation of scalable AI/ML platforms.
- Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
- Champion innovation and best practices across the organization.
- Mentor and coach team members.
- Foster a high-performing culture of technical excellence and continuous growth.
- Help to the leadership to align AI strategy effectively with client needs.
- Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Desired Skills:
- A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas
- Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
- Experience in LLM post-training or fine-tuning.
- Demonstrate strong National Security domain knowledge.
- Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
Ready to apply?
Apply to Govini
Forward Deployed Data Scientist
Share this job
Company Description
Job Description
We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Govini, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.
In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment.
Scope of Responsibilities
- Developing new AI methods and using existing ones to solve complex defense problems
- Developing working AI systems and deploying them
- Rapid prototyping of AI models, systems, heuristics, and agentic solutions
- Working directly with customers to understand and solve their problems
- Translating customer problem definitions into technical requirements for AI-based systems
- Translating vague customer needs into concrete AI workflows and Data Science solutions
- Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed
- Deploying code into production AI systems
- Taking end-to-end ownership of client problems
- Communicating clearly with both non-technical and technical users
- Working with AI platform, agentic AI, and data engineering teams to build end-to-end solutions in production deployments
- Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments
- Wrapping AI/DS solutions into AI agentic/skills frameworks
- Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Qualifications
- U.S. Citizenship is required
- Ability to translate customer problems into technical AI requirements, and write down the documentation to be used by multiple teams.
- Deep ability to embed with clients, understand vague business or national security challenges, and translate these customer problems into concrete, actionable technical requirements and detailed documentation for AI-based systems.
- Expertise in rapidly prototyping models, heuristics, and agentic solutions. The ability to translate vague needs into concrete AI workflows and Data Science solutions, followed by deploying production-grade code and taking end-to-end ownership of the client's problem.
- Skill in defining concrete AI workflows from vague requirements.
- Experience evaluating and tuning AI solutions for effectiveness. Experience in measuring the impact of AI/DS solutions.
- Competency in deploying code into production AI systems. Competency in building agent/skills solving particular problems.
- Expertise in integrating AI/DS solutions into agentic frameworks.
- End-to-end ownership of client problems.
- Strong communication with non-technical users and technical users.
- Collaboration with cross-functional teams for production deployment.
- Strong collaboration and communication skills to work effectively with AI platform and data engineering teams. This includes generalizing unique AI/DS solutions into reusable agentic features/skills and integrating them into agentic frameworks for other production deployments.
Desired Skills:
- A strong publication record in the top conferences in one of the AI, ML, NLP, or decision science areas
- Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
- Extensive expertise in specialized domains such as Operations Research, Optimization, and Decision Science.
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
Ready to apply?
Apply to Govini
Company Description
Job Description
Scope of Responsibilities
- Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms
- Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems
- Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices
- Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases
- Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform
- Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code
- Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem-solving
- Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master’s or PhD preferred
- Minimum 3 years of hands-on data science experience
- Minimum 3 years of experience deriving key insights and KPIs for external and internal customers
- Regular development experience in Python
- Prior hands-on experience working with data-driven analytics
- Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
- Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks)
- Ability to work independently with little supervision
- Strong communication and interpersonal skills
- A burning desire to work in a challenging fast-paced environment
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working on agile/scrum teams
- Experience building datasets from common database tools using flavors of SQL
- Expertise with automation and streaming data
- Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS
- Familiarity with Git source control management
- Experience working in a product organization
- Experience analyzing financial, supply chain/logistics, or intellectual property data
Ready to apply?
Apply to Govini
Senior Machine Learning Engineer
Share this job
Company Description
Job Description
Scope of Responsibilities
- Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
- Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
- Ability to work with taxonomy experts to create and validate dataset annotation
- Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
- implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
- Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
- Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
- Keep up to date with Machine Learning best practices and evolving open-source frameworks
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
- U.S. Citizenship is required
- Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
- Minimum 3 years experience with hands-on development of NLP models
- In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
- Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
- Advanced software skills in Python
- Advanced ability in forming SQL queries
- A strong desire to learn, investigate, and implement cutting-edge technologies
- Ability to work collaboratively throughout the design process.
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience in deploying ML models in Kubernetes environments
- Experience developing custom training sets for large language models
- Experience productionizing transformer-based models
Ready to apply?
Apply to Govini
Lead Toddler Teacher
Share this job
Help toddlers discover who they are and what they can do.
At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.
If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.
Your Role
As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.
Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.
Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.
What You’ll Do
- Observe each child closely to understand and support their physical, emotional, and cognitive development
- Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
- Support independence by encouraging toddlers to “do it themselves”
- Provide lessons in practical life skills, language development, and grace and courtesy
- Build warm, trusting relationships with children and families
- Communicate and collaborate with parents to support each child’s growth
- Lead classroom routines and collaborate with team members to create a respectful, joyful community
The Montessori Prepared Environment
Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.
Our toddler environments feature:
- Open spaces that encourage movement and exploration
- Child-sized furniture and tools to support independence
- Curriculum that builds skills in dressing, feeding, and toilet learning
- Scientifically designed materials for fine and gross motor development
- Natural elements including cozy rugs, real plants, and abundant light
- Beautiful, breakable materials made from wood, metal, and glass
- Opportunities to climb, crawl, and explore without restrictive devices
What We’re Looking For
- Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
- Experience working with children ages 0–3 in a group care or early learning setting
- Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
- Required ECE or Child Development credits
- Bachelor’s degree (any field)
What We Offer
- Sponsored Montessori diploma training and ongoing professional development
- Competitive salary
- Health, dental, and vision insurance
- Paid time off and paid holidays
- 75% tuition discount for up to two children at any Guidepost school
- A collaborative, supportive network of peers and mentors
- Clear opportunities for career growth and leadership advancement
About Guidepost Montessori
Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.
We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.
If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.
Apply today and help toddlers take their next big steps.
Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.
Ready to apply?
Apply to Guidepost Montessori
Land Administration Specialist
Share this job
At RES, we’re looking for purpose-driven individuals who are passionate about restoration and sustainability, and who want their work to make a lasting environmental impact. Our team members go above and beyond, bringing initiative, integrity, and a strong work ethic to every project. Collaboration is key—we thrive on teamwork, open communication, and diverse perspectives. In a field that constantly changes, we value those who are resilient, adaptable, and resourceful in the face of challenges. If you're intellectually curious, eager to learn, and ready to help restore ecosystems and protect natural resources, you’ll find your place here.
The Land Administration Specialist supports land acquisition and land administration activities by coordinating documentation, conducting due diligence support, managing transaction details, and helping move projects efficiently from initiation through closing and handoff. This role works with landowners, internal stakeholders, and project teams to support leases, easements, rights of way, and other land-related agreements. Success in this role requires strong organization, sound judgment, attention to detail, and the ability to work with legal and land documents with limited supervision.
What your day-to-day might look like
In this role, you will review leases, contracts, agreements, and other legal land documents to identify potential issues, key questions, and advantages for RES. You will support due diligence efforts by conducting online record searches, reviewing title-related information, and communicating operational constraints or title concerns discovered during the process.
You will coordinate directly with landowners on curative items and help move transactions toward completion by preparing and executing closing documents with limited supervision. You will also identify the appropriate RES contract form for a given land acquisition and draft legal language for legal review as needed.
This role includes tracking milestone dates, payments, and other project deliverables to help ensure transactions stay organized and on schedule. You will prepare final instruments, maintain accurate records, and coordinate with internal teams and Long Term Steward to support successful project handoff.
We would love to talk to you if you have many of the following:
- Bachelor’s degree
- 3+ years of experience in land acquisition, real estate, legal support, or a related field preferred
- Intermediate knowledge of land leases, contracts, agreements, easements, rights of way, and related land documents
- Intermediate ability to review legal documents and identify potential issues, questions, and advantages for RES
- Intermediate understanding of legal terminology and land transaction processes
- Intermediate proficiency in Microsoft Office Suite, including Word, Excel, PowerPoint, and Adobe
- Intermediate experience conducting online record searches and land-related research
- Intermediate knowledge of internal systems such as NetSuite, Landscape, and other RES platforms
- Ability to identify the appropriate RES contract form for a given land acquisition
- Ability to draft legal language for legal review with limited supervision
- Ability to communicate potential title issues and operational constraints discovered during due diligence
- Strong organizational skills, attention to detail, and ability to manage multiple priorities
- Effective written and verbal communication skills, including direct coordination with landowners and internal teams
What will make you stand out
You may stand out if you have experience supporting land transactions from due diligence through closing, preparing or reviewing a variety of land agreements, and coordinating across teams to keep projects moving. Experience identifying title-related issues, managing transaction milestones and payments, and supporting final instrument delivery and project handoff will also be valuable in this role.
Please note that the “Day in the Life” section is not intended to be an exhaustive list of job duties, but rather a representative snapshot of typical responsibilities and work experiences at RES.
RES is an Equal Opportunity Employer and a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Ready to apply?
Apply to Resource Environmental Solutions LLC