NLP Jobs in Pittsburgh.
All active NLP roles based in Pittsburgh.
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Lead Data Scientist - Simulation / Optimization
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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
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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
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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
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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
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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
Machine Learning Engineer III
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About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.
What’s your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point. Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
- Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
- Build and optimize data ingestion and modeling pipelines as needed
- Utilize domain driven techniques and design patterns to build and contribute to technical
- design.
- Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
- Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
- Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
- Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
- Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
- Write technical architectural and design documents.
What we look for
- Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
- Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
- Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
- Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
- Comfortable writing complex SQL queries and developing python packages.
- Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
- Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
- Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
- Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
- Experience with agile development practices.
- Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
- Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
- Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
- Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
- Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
- Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
- Medical/dental/vision plans 100% paid for employees and family members without coverage, which start from day one!
- Life and AD&D
- Flexible Spending Accounts: Medical, Dependent Care, and Transportation
- 401 (k) Retirement Savings
- Tuition Reimbursement
- Military Paid Leave (up to 6 months of base salary while on military leave)
- Paid Time Off
- Paid parental leave
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
Ready to apply?
Apply to TeleTracking Technologies, Inc.
Senior Software Engineer, ML Training Infrastructure
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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
In the ML Training, our mission is to provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV. In addition, this team is responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them. Finally, we are responsible for model optimization and deployment.
Responsibilities:
- Experience with both ML Platforms and building ML-based applications.
- Experience building scalable, reliable infra at a fast-paced environment working with MLEs on several different modeling teams.
- A deep understanding of design tradeoffs and ability to articulate those tradeoffs and work with others on getting alignment.
- Experience with building ML models or ML infra in the domains of autonomous vehicles, perception, and decision making (desirable but not required).
- Experience with model training, model optimization, or large data processing pipelines.
Qualifications (Preferred):
- Built an end to end ML model pipeline including components such as logs processing, feature extraction, dataset storage, model configuration management, model training, experiment frameworks, and serving deployment.
- Shipped ML products (NLP, computer vision, recommender systems, etc.) at scale to make business impact.
- Knows how to build appropriate abstractions and tooling to ensure MLEs are able to rapidly iterate on models.
- Prior AV experience
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
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Sr. Product Manager
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Company Overview:
Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.
BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.
We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!
Blink Health is seeking a Senior Product Manager to lead strategic development across our
internal platforms, partner-facing tools, and third-party integrations. This role is ideal for a
product leader who enjoys diving deep into technical problem spaces, driving execution across
systems, and making complex processes feel simple and scalable.
You’ll play a key role in shaping the systems that power BlinkRx’s operations, working closely
with Engineering, Data, and Operations to deliver foundational tools that scale with the
business.
Responsibilities:
● Set the product direction by defining the strategy and priorities across a suite of internal
and external facing tools and backend services that drive the operations of BlinkRx.
● Lead the roadmap for external system integrations.
● Partner with Engineering, Data, Operations, and Legal to scope, build, and ship technical
solutions that improve system performance, scalability, and reliability.
● Design reusable product components, workflows, and APIs that power core business
processes and reduce friction for downstream teams.
● Define success metrics, analyze product performance, and continuously improve tools
based on data and user feedback.● Identify opportunities in our business processes to automate, optimize, or rebuild for
scale.
Qualifications:
● 3+ years of product management experience with a focus on platform tools, internal
systems, integrations, or enterprise workflows.
● Previous experience as a software engineer or in a technical implementation role; able to
engage deeply with architecture and backend systems strongly preferred.
● Adept at untangling complex, interdependent systems and turning them into scalable,
efficient solutions.
● Strong understanding of APIs, data pipelines, distributed systems, and integration
patterns; capable of translating business needs into technical specs.
● Proven experience defining and shipping AI/ML-powered product features, such as
conversational AI, copilots, automation, or decision-support systems. Ability to translate
existing workflows into intelligent AI journeys that improve agent efficiency, reduce
handle time, and enhance customer experience.
compliance, legal and operations to define AI requirements, validate models, and
implement monitoring frameworks. Track and optimize KPIs such as call resolution rate,
prior authorization turnaround, medication access speed, patient satisfaction
(CAHPS/CSAT), and regulatory adherence.
● Data driven with a demonstrable history of using data to inform decisions, measure
success, and prioritize development.
● A track record of delivering high-quality outcomes, keeping stakeholders aligned, and
pushing through ambiguity with clarity and focus.
● Excellent communication skills with the ability to clearly articulate product direction,
technical challenges, and business value across diverse audiences.
● Familiarity with internal tooling, workflow automation, or logistics software preferred
Why Join Us:
It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population. At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year. Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.
We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Applicants who provide their phone number and consent to receive text messages may receive SMS or MMS updates from Blink Health regarding their application.
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Land Administration Specialist
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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