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Research Engineer – Applied Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.

Responsibilities:

• Prototype and optimize algorithms in computer vision and machine learning.

• Build scalable training and inference pipelines on cloud platforms (AWS EKS).

• Perform data curation, model evaluation, and system integration.

• Collaborate with academic and government research partners.

Requirements:

• BS or MS in Computer Science, Engineering, Applied Math, or related field.

• Experience with PyTorch or TensorFlow and scalable model training.

• Strong background in algorithms and software design.

• Excellent communication and technical writing skills.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).

• Familiarity with Kubernetes and distributed data systems.

Why Novateur?

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.

Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.

Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

The Learning & Development Specialist - Leadership Programs is responsible for designing, implementing, and managing leadership development initiatives that equip emerging and established leaders with the skills and competencies needed to drive organizational success. This position will focus on building a robust leadership pipeline, enhancing the capabilities of high-potential leaders, and aligning leadership development programs with the organization’s goals and values.

Main Job Duties – Learning & Development Specialist, Leadership Programs

• Design and deliver leadership development programs that build a strong, future-ready leadership pipeline.
• Partner with the Director of Learning & Organizational Development to shape and execute organization-wide leadership strategies.
• Create high-impact learning experiences using sound instructional design principles for in-person, virtual, and blended formats.
• Select and implement leadership assessments (e.g., 360, Hogan, DISC, Hi-Po tools) to support leader growth and development.
• Facilitate engaging leadership trainings for small and large groups across the organization.
• Coordinate program logistics and delivery in partnership with HR, county leadership, and site leaders.
• Establish and track program metrics to evaluate impact and drive continuous improvement.
• Serve as the central point of contact for all leadership development initiatives.
• Manage leadership programs within the LMS, including scheduling, tracking, reporting, and user support.
• Stay current on industry trends and integrate innovative best practices into OCDC’s leadership programs.

The Learning And Development Representative will assume, but not be limited to, the following responsibilities:

• Conducts new employee onboarding sessions, including use of computers and software applications.
• Assists in designing training manuals and related materials, training classes, and training procedures.
• Assists with the facilitation of training sessions and developmental programs to help credit union personnel become proficient and knowledgeable.
• Tracks the progress of employee training through routine tests, observation, and feedback from leaders.
• Assists with creating relevant surveys that help evaluate the effectiveness of training. Gathers and monitors participants' feedback while evaluating the effectiveness of training format and content.
• Maintain and manage the Learning Management System (LMS).

The successful candidate will possess the following education, knowledge and skillsets:

• Two-year college degree, or completion of a specialized certification preferred.
• One to two years of related experience in an organizational development, training, or teaching environment.
• One to two years of experience in the finance industry, especially in the areas of branch operations, member service, and sales.
• Excellent communications skills with demonstrated ability to correspond with all levels of staff, members, and general public.
• Knowledge of training systems, methods, and resources including Computer Based Training, eLearning, classroom training, self-study, and small/large group training.

We provide competitive compensation and benefits package that includes:

• Medical, dental, and vision insurance
• Life insurance
• 401k Retirement Plan (matching contribution=5%, immediate vesting)
• Paid Time Off (PTO)
• Paid Holidays
• Educational Reimbursement (for employees)

Actual compensation is determined based on experience, education, skills, internal equity, and other job-related factors.

EOE

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Warehouse Learning & Development Manager

Job Overview:

The Learning &Development Manager is responsible for developing and managing training programs aimed at enhancing the skills and performance of the operations team. This role ensures that employees are well-equipped with the knowledge necessary to meet the company’s operational standards. The ideal candidate will have a solid background in operations and a strong ability to create effective, engaging training content.

Essential Responsibilities:

• Design and implement training programs/modules focused on operational excellence, safety, and compliance.

• Conduct training needs assessments to identify skill gaps and areas for improvement within the operations team.

• Collaborate with department managers to create tailored training solutions that align with operational goals.

• Evaluate the effectiveness of training programs through feedback, testing, and performance metrics; adjust programs as needed.

• Stay current with industry best practices, tools, and technologies related to operations training.

• Ensure all training content and methods comply with company policies and industry regulations.

• Maintain and update training materials, manuals, and documentation to reflect changes in processes and procedures.

• Manage training schedules and logistics, ensuring that training sessions are delivered efficiently with minimal disruption to daily operations.

• Monitor the progress of trainees and provide ongoing support and feedback to ensure skill retention and application.

• Use data analysis to assess the impact of training on operational performance and make data-driven decisions for future training initiatives.

Additional Responsibilities:

• As assigned by Manager

Specific Knowledge, Skills and Abilities:

• Demonstrated ability to develop and deliver effective training programs.

• Strong understanding of operational processes and best practices.

• Excellent communication and presentation skills.

• Ability to work collaboratively with various teams to meet training objectives.

• Analytical skills to evaluate training effectiveness and improve training programs.

Preferred Education, Experience and Licenses:

• Bachelor’s degree in Business Administration, Operations Management, Education, or a related field

• 5+ years of experience in Operations, with a strong focus on training and development

RESPONSIBILITIES

• Full lifecycle global implementations of Oracle HCM with a focus on: ORC, Talent/Learning Management
• Hands-on configuration working with functional set up manager across Cloud modules
• Leverage Apps Associates project templates, methodology and practices to lead project and guide client teams
• Owning project deliverables and client communications to optimize project timeline
• Collaboration with multi-national team to progress internal and external initiatives
• Independently tackles activities and assignments and delegates to teammates, as appropriate, to achieve streamlined implementation approach
• Connecting Oracle Fusion to 3rd Party solutions via native integrations, extracts, and middleware
• Translating the technical and the functional for all project team members – customer and internal
• Serve as a conduit and champion of change and business transformation
• Demonstrate experience and expertise in the design and execution of implementation and testing, executive and internal communications and the ability to work independently
• Develop work plan, follow and deliver in line with Fusion Implementation Roadmap and Methodology
• Lead groups in business process re-engineering, best practices and customization issues. Shares suggestions and knowledge capital to help optimize implementation methodology
• Lead business process workshops and requirements gathering sessions to support clients in defining relevant processes
• Analyze business requirements and develop effective configuration solutions.
• Drive and document business requirements and procedures, obtain sign off to ensure Client alignment of proposed solution
• Provide inputs to the assigned Project Manager to ensure a comprehensive project plan developed and buy-in from key client stakeholders. Support the implementation of the technical and functional work stream
• Responsible for successful testing of developed solution including System Integration Testing and User Acceptance Testing and work with the users to validate the solution
• Document and track customer product enhancement requests and discovered bugs
• Able to coordinate with Oracle for SRs, new product releases, ability to coordinate upgrades/patches/fixes
• Seek opportunities to streamline and optimize internal and external processes
• Responsible for advanced internal initiatives and mentorship for the betterment of the Practice

QUALIFICATIONS

• Bachelor’s Degree or requisite experience preferred
• 3-4 years of consulting experience or 7-9 years of applicable work experience, specifically within Oracle Cloud Recruiting (ORC), Talent and/or Learning Management.
• Professional attitude, with a growth mindset seeking to drive change and improvement in all aspects of the role
• Experience implementing projects using Agile Iterative approach
• Understanding of Oracle design best practices and standard business process flows
• Ability to meaningfully articulate terminology, processes, functionality, and architecture
• Oracle certification(s) preferred, with the ability to acquire and maintain various additional certifications
• Self-motivated and independent with the ability to effectively listen and communicate
• Willingness to join a dynamic, multinational team
• Values diversity of thought and collaboration
• Ability to continue to grow and learn despite existing expertise
• Functional practitioner experience in HR is preferred
• Expertise in at least 3 modules of Oracle in your Subject Area of expertise
• Fluency in English is requested

POSITION SUMMARY/RESPONSIBILITIES

Serves as a clinical expert, educator, researcher and mentor for assigned area. Functions in a team environment to provide support to clinical practice.

EDUCATION/EXPERIENCE

MSNis required plus specialty national certification and Nursing Professional Development Certification or Healthcare Simulation Educator Certification is required or PhD plus specialty national certification is required. Minimum of five years of full-time nursing experience with at least three years in related nursing specialty is required. Demonstration of experience in curriculum development and implementation of adult learning principles is required.