Lead data strategy, design and implementation for digital transformation in manufacturing operations, supporting change management and training.
Responsibilities
Lead data template strategy from design through implementation
Design and construct complex master data structures
Translate business requirements into scalable technical solutions
Define concepts and scenarios for reporting and analytics
Apply statistical methods and data visualization techniques
Requirements
Bachelor's or Master's degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, Manufacturing Engineering, Industrial Engineering, or an equivalent field
Specialist responsible for designing, implementing, and administering Jira Service Management workflows, automation, integrations, and customer-facing portals for enterprise clients.
Responsibilities
Design and implement service management workflows, automation rules, and request type configurations aligned to ITIL or equivalent frameworks
Help enterprise clients improve service delivery operations, tooling adoption, or ITSM process maturity
Configure and administer Jira Service Management and integrate with third-party enterprise systems using REST APIs, webhooks, or native connectors
Integrate JSM with Microsoft InTune and Microsoft Configuration Manager
Lead technical and product direction for a critical software product on a large PRIME contract.
Locations (2)
Fort Meade, Maryland, United States
Columbia, Maryland, United States
Compensation
Salary range: $205,000 - $280,000
Responsibilities
Solicit requirements and architect an enterprise agentic platform designed to power intelligent, autonomous workflows
Work directly with stakeholders, engineers, and cyber analysts to understand operational workflows and identify high-impact automation opportunities
Evaluate AI models, deployment architectures, and infrastructure options to determine the optimal balance of capability, performance, and cost
Advise customers on AI investment strategies and resource allocation to maximize mission impact and operational effectiveness
Stay current on emerging AI technologies, industry trends, and best practices, advocating for the adoption of innovative capabilities where appropriate
Serves as a Full Stack Developer resource for a project involving portal experience, designing, developing, testing, and supporting full-stack web applications.
Compensation
Duration: 12/14/2026 - 2/26/2027
Responsibilities
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives
Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system
Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements
Writes detailed description of user needs, program functions, and steps required to develop or modify computer program
Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system
Support spatial biology capabilities in preclinical and translational biomarker discovery.
Responsibilities
Develop, optimize, and execute high-plex tissue-based assays, including multiplex immunofluorescence and other spatial protein profiling approaches in human and mouse tissues.
Design and optimize multiplex antibody panels, including antibody selection, staining conditions, controls, panel compatibility, tissue-specific optimization, and assay performance.
Support the establishment and application of spatial transcriptomics and emerging spatial profiling technologies, including assay and data QC.
Develop integrated workflows spanning tissue preparation, staining, imaging, spatial profiling, and quantitative analysis, troubleshooting assays to improve robustness, reproducibility, and data quality.
Support acquisition and analysis of whole-slide, multiplex, and spatial imaging datasets, including tissue annotation, cell segmentation, phenotyping, spatial quantification, and visualization.
Requirements
Bachelor’s or Master’s degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline.
Nice to have: Experience with high-plex/multiplex protein imaging and antibody panel development in human and/or mouse tissues.
Nice to have: Experience with spatial transcriptomics or related spatial gene-expression technologies.
Nice to have: Experience with quantitative microscopy or high-content tissue imaging.
Nice to have: Experience with image analysis, such as tissue annotation, cell segmentation, phenotyping, spatial measurements, or quantitative biomarker analysis.
Senior Splunk ITSI Engineer responsible for implementation, configuration, administration, and optimization of Splunk IT Service Intelligence in classified environments.
Compensation
The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to provide an equitable and competitive comprehensive compensation package. These considerations include, but are not limited to, contracted rates, education, certification(s), experience, specific competencies required for this position, and geographic location.
Responsibilities
Implement and configure Splunk ITSI services
Develop and optimize SPL queries, dashboards, alerts, and correlation searches
Configure ITSI event management capabilities
Integrate infrastructure, application, and operational data sources
Troubleshoot complex monitoring environments
Requirements
Bachelor's degree in Computer Science, Information Technology, Systems Engineering, Cybersecurity, or a related technical field
Nice to have: Experience supporting Splunk ITSI in classified, Intelligence Community, or Department of Defense environments
Nice to have: Familiarity with Splunk Enterprise Security (ES)
Design, develop, and deploy scalable AI/ML solutions for federal civilian clients, including LLM-powered applications, RAG architectures, and agent-based workflows.
Compensation
Eligibility for performance-based participation in cash bonuses
Responsibilities
Design, develop, and deploy scalable AI/ML solutions, including LLM-powered applications, RAG architectures, and agent-based workflows, in complex, enterprise environments.
Build and maintain end-to-end ML pipelines (data engineering, model development, deployment, monitoring, and retraining) using Python, SQL, and modern MLOps practices.
Develop and integrate AI applications using foundation models (such as Claude, GPT variants, and open-weight Hugging Face models) and cloud-native services across AWS and Azure (e.g., Bedrock, SageMaker, OpenAI Service, AI Search).
Design secure, auditable, and explainable AI systems with strong governance, traceability, and human-in-the-loop controls for mission-critical and compliance-sensitive environments.
Collaborate with cross-functional teams to prepare data, enable semantic retrieval, and deliver robust AI-driven solutions aligned to operational needs.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Nice to have: open-weight models
Nice to have: vLLM
Nice to have: TGI
Lead Software Engineer - Machine Learning Platform Team
Lead engineering efforts for highly complex software applications, ensuring delivery of high-quality, maintainable, and scalable solutions while mentoring engineers and driving platform capabilities.
Compensation
The anticipated base pay compensation range for this position is $134,100.00 – $223,500.00. This role is eligible for an incentive target of up to 15 %
Responsibilities
Lead engineering efforts for highly complex software applications
Influence team adoption of engineering best practices
Contribute to a strong learning culture by mentoring engineers
Maintain and support production systems
Partner directly with IT leadership, architects, product teams
Requirements
Bachelor's Degree in computer science or related discipline
A Research Associate (RA) is a junior/entry-level research-focused role with a global remit. Your main responsibility is to support other members of the Applied Memory lab on project work for a diverse range of studies and impact activities.
Compensation
Full time starting salary is normally in the range £33,002 to £35,608 with potential progression once in post to £39,906
Responsibilities
Liaising with external non-academic partners
Assisting with analysing impacts and summarising literature
Administrative duties including participant liaison and ethical approval
Website development and maintenance
Lab organisation
Requirements
Undergraduate degree in psychology, neuroscience, computer science or a related field
Nice to have: Experience with research on memory and decision making
Nice to have: Experience with eyewitness identification
Build and ship product features for Mercor’s evals platform, including APIs, data models, UI, and onboarding flows, while owning APEX launches and failure analysis.
Locations (3)
San Francisco, California, United States
New York City, New York, United States
London, England, United Kingdom
Compensation
Bi-annual performance bonus structure; Generous equity grant vested over 4 years; Up to $15k Relocation bonus; $10K housing bonus (if you live within 0.5 miles of our office); $1.5K monthly stipend for meals; Free Equinox membership; $200 monthly laundry reimbursement; $200 monthly personal wellness reimbursement; Health, Dental, Vision insurance
Responsibilities
Build the product customers use to evaluate models: Ship the APIs, data models and UI that help customers run evals, compare models and share scores.
Own APEX launches: Run every new frontier model on APEX and publish correct, defensible results to the public leaderboard.
Explain why models fail: Build failure analysis that helps customers see where their models fail, with each pattern linked to the exact steps that went wrong.
Make benchmarks easy to find and manage: Build dataset views, registries and versioning that help customers find the right benchmark or bring their own.
Take customers from first login to self-serve: Build onboarding, roles, key management and usage views that help new teams run evals on their own.
Requirements
Bachelor's Degree in Computer Science or a related field
Software Product LeadNewVisionist, Inc. · Fort Meade, US+1 more
Sr. Splunk ITSI Engineer-Active (TS/SCI/FSP)NewVibrint · Hanover, US
Junior AI Solutions EngineerNewStrategic Innovation Group LLC · Arlington, US
Lead Software Engineer - Machine Learning Platform TeamNewGrainger Businesses · Chicago, US
Applied Memory Lab Research AssociateNewUniversity of Birmingham · Birmingham, United Kingdom
Software Engineer, Applied AI- EvalsNewMercor · San Francisco, US+2 more