Hybridization Formula Jobs in Usa

This is a high-level insurance coverage role focused on complex third-party liability matters — not routine auto or homeowners files.

The position is based in Houston with a flexible hybrid structure (approximately 3 days in office) and offers long-term growth within a respected coverage-focused platform.

The Role

• Third-party liability coverage analysis
• Excess and umbrella liability matters
• Complex CGL policy interpretation
• Advisory and litigation-related coverage work
• Hands-on file responsibility from early stages

This is meaningful coverage work involving sophisticated policies and nuanced analysis — not commodity files.

Why This Opportunity Stands Out

• Highly flexible working model without rigid in-office mandates
• Profit sharing eligibility after one year
• Flexible PTO managed at the team level
• Health and dental benefits from day one
• Exposure to environmental and professional liability coverage matters
• Strong reputation in coverage-focused practice

Compensation & Structure

• Competitive compensation aligned with experience
• Hybrid schedule (Houston office)
• Balanced litigation and advisory exposure
• Long-term growth within an established coverage team

Ideal Background

• 3+ years of meaningful insurance coverage experience
• Strong grounding in general liability (CGL) policies
• Experience with excess and umbrella coverage
• Exposure to environmental or professional liability coverage a plus
• Background from a reputable coverage-focused practice preferred

Remote working/work at home options are available for this role.

Employment Litigation Attorney

Plaintiff-Side | El Segundo, CA (Onsite or Hybrid)

Compensation & Benefits Summary

• Base Salary: $145,000 – $165,000 (higher considered for 5+ years’ experience)
• Bonus: Generous annual performance bonus
• Health: Medical, dental, and vision coverage (employee premium 100% paid; PPO upgrades available)
• Retirement: 401(k) with 3% safe harbor contribution + discretionary employer match
• Time Off: Paid vacation, sick time, and 15 paid holidays
• Other Perks: Paid parking, cell phone stipend, paid jury duty & voting leave, casual dress, wellness reimbursement
• Work Model: Hybrid in-office / remote flexibility
• Culture: Collegial, team-oriented, strong work/life balance
  
  

About The Firm

Our client is a well-established El Segundo, CA based plaintiff-side law firm with offices throughout the state. The firm is devoted to representing employees and consumers and is known for its collaborative culture, commitment to professional development, and meaningful, high-impact litigation. Attorneys are supported by experienced colleagues, strong infrastructure, and leadership that values both excellence and balance.

The firm is seeking an experienced Employment Litigation Attorney to join the team immediately due to growth.

Key Responsibilities

• Independently manage and develop strategy for an active employment litigation caseload
• Draft complaints, discovery, and substantive law-and-motion filings
• Take and defend depositions; manage all phases of discovery
• Prepare for and attend court hearings
• Draft and argue motions, including dispositive and class certification motions
• Communicate directly with clients and witnesses
• Collaborate with co-counsel, experts, and support staff
• Participate in mediations, settlement negotiations, and trial preparation
• Take cases through trial or arbitration when necessary
  
  

Qualifications

• JD from an accredited law school; top-100 law school strongly preferred
• Active California Bar membership in good standing
• Minimum 3–4 years of substantive employment litigation experience
• Experience with FEHA, wage & hour, and related employment claims
• Proven experience taking and defending depositions
• Strong law-and-motion background; courtroom experience preferred
• Working knowledge of California Civil Procedure and Federal Rules
• Excellent research, writing, and oral advocacy skills
• Ability to work independently while thriving in a team-based environment
• Demonstrated commitment to employee-side advocacy
  
  

Remote working/work at home options are available for this role.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Remote working/work at home options are available for this role.

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

Remote working/work at home options are available for this role.

Made4net is a global leader in supply chain execution software, empowering organizations to operate smarter, faster, and with greater agility. Our cutting-edge technology drives real-time visibility, operational efficiency, and scalable growth for companies around the world. With a strong commitment to innovation and customer success, Made4net supports a wide range of industries and business sizes, helping clients elevate performance and stay ahead in an increasingly dynamic marketplace.

Corporate Headquarters is located in Teaneck, New Jersey. The building offers a range of high-quality amenities, including a spa and gym with discounted rates for tenants, an onsite Starbucks, a deli, a full-service restaurant, and covered secure parking with direct access to the building.

We operate on a hybrid work model that includes three days onsite and two days working from home. New employees should expect to spend additional time in the office during their training period before transitioning to the standard hybrid schedule.

Some travel to client sites may be required, particularly during client training sessions or go live activities, though it is not frequent. Our work supports supply chain execution, which is a time sensitive and mission critical environment.

Purpose of the Job

The Project Manager supports the successful delivery of customer implementation projects from initial planning through go-live. In this role, you will coordinate project activities, maintain timelines, monitor budgets, and ensure all quality standards are consistently met. Working closely with the Senior Project Manager and the Director of Project Delivery, you will manage key deliverables, facilitate communication across internal teams and customer stakeholders, and proactively identify and resolve risks or issues.

Description of responsibilities:

In this role, you will be actively involved in all stages of the project lifecycle, including implementation, configuration, testing, training, and go-live support. The position requires a strong level of direct interaction with clients and close collaboration with the implementation team, ensuring a smooth and successful delivery experience.

• Monitor and manage project schedules, milestones, and financial reporting to ensure alignment with overall project goals, timelines, and budget constraints.
• Review and validate system requirements developed by project team members to confirm accuracy, completeness, and alignment with customer needs.
• Partner with the System Architect and key stakeholders during the system specification phase on larger projects, ensuring technical feasibility and clarity of requirements.
• Drive the functional specification phase by facilitating client meetings, documenting requirements, and ensuring alignment among all parties.
• Support the creation of functional specifications by collaborating with project team members to confirm that documentation accurately reflects project needs and solution design.
• Track and monitor project progress during implementation, proactively addressing risks, issues, or scope of changes as they arise.
• Coordinate closely with the Director of Project Delivery regarding task assignment, resource planning, and financial reporting, ensuring continuity and effective project oversight.
• Support project governance through regular communication, structured reporting, and timely escalation when needed.
• Foster strong working relationships with clients, team members, and internal stakeholders to ensure transparency and alignment throughout the project lifecycle.

Core Competencies:

Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understand of the unique needs of different audiences

Customer Focus - Building strong customer relationships and delivering customer-centric solutions

Business Insight - Applying knowledge of business goals and the marketplace to advance the organization's goals

Required Qualifications:

• Bachelor’s degree or equivalent experience, with 2-4 years of relevant experience in a customer-facing role, ideally within software, SaaS, or enterprise systems related to supply chain.
• Demonstrated experience in project management, including project planning, prioritizing tasks, and reporting on project status.
• Strong foundational technical skills with an understanding of software systems, integrations, and development processes.
• Familiarity with Software Development and Agile Methodologies is beneficial.
• Experience with Microsoft tools such as Windows, IIS, and SQL Server is a plus.
• Strong written and verbal communication skills with the ability to effectively interact with clients and cross-functional teams.
• Ability to work collaboratively in a team environment, demonstrating responsiveness, adaptability, and a proactive approach to problem solving.
• Strong analytical and problem-solving skills with a focus on developing clear, task-oriented solutions.

Preferred Qualifications:

• Familiar with Agile methodologies
• Prior experience in warehousing, transportation, logistics and or similar applications experience
• Experience with leading WMS solutions (e.g., Manhattan, Blue Yonder, SAP EWM, Koerber, or similar).

Benefits:

• Health insurance (medical, dental, vision) with a robust wellness program to support your physical and mental well-being
• Generous paid time off policy
• Company-matched 401(k) retirement plan to help you secure your future
• Tuition reimbursement program to support your continued education and career advancement
• Employee assistance program providing confidential counseling and support services for personal challenges
• Discretionary employee bonus program
• Employee Discounts and perks through our PEO

Pay range: From $90,000.00, per year salary

This position offers a competitive salary package that is commensurate with your years of experience in the field and the specific skills you bring to the role.

Made4net is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Remote working/work at home options are available for this role.