Engineering Geology Jobs in Windcrest Tx Remote

About the Company

This role is ideal for a hands-on learning leader who understands the realities of the plant floor and is equally passionate about developing professional staff, building early-career pipelines, apprenticeship programs, and confident frontline leaders.

About the Role

What You’ll Do

• Lead manufacturing, safety, quality, and operational training
• Design & develop professional leadership development Programs
• Design and oversee apprenticeship and workforce development programs
• Build structured onboarding and early-career development pathways
• Develop first-time supervisors and frontline leaders
• Partner closely with leadership to close skill gaps and improve performance
• Create practical, on-the-floor learning that drives real results

Responsibilities

• Experience supporting manufacturing or industrial environments
• Proven success designing training for hourly, technical, and leadership populations
• Strong facilitation and stakeholder partnership skills
• Passion for developing people and building sustainable internal talent pipelines

Qualifications

Required:

• Bachelor’s degree in Human Resources, Organizational Development, Education, Business, Engineering, or related field
• 7+ years of experience in training, learning & development, or workforce development
• Experience supporting manufacturing, operations, or industrial environments
• Experience with learning management systems (LMS) and training documentation
• Proven ability to design and facilitate training for hourly, frontline, and leadership populations
• Strong facilitation, communication, and stakeholder management skills

Preferred:

• Experience supporting safety, quality, or continuous improvement initiatives
• Familiarity with OSHA, GMP, ISO, or similar manufacturing standards
• Experience training first-time supervisors or team leads
• Lean, Six Sigma, or adult learning certifications

Why This Role Matters

This is a high-impact role with direct influence on safety, productivity, leadership readiness, and retention. You won’t just deliver training—you’ll help shape the future workforce.

If this sounds like a role where you could make a difference—or if someone comes to mind—feel free to reach out or apply directly.

• Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
• Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
• Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
  

• Studies end-user needs, defines product features and coordinates activities across teams to meet quality standards, project deadlines and business objectives. Activities include: gathering and writing requirements for medium and large application features; conducting competitive analyses; and using product discovery techniques to aid in prioritization of features (e.g., A/B, surveys, interviews, etc.). (60%)
• Develops long-term product plans (i.e., roadmaps), and leads stakeholders through the roadmap process for assigned product(s). Activities include: conferring with engineering, marketing, clients, prospects, operations, legal and others, and developing financial models to aid in prioritization. (20%)
• Monitors and reports on product utilization and identifies trends. (10%)
• Provides guidance to less-experienced staff. (10%)
  

• Bachelor’s degree in information technology, computer science, marketing, business administration or related field, 4+ years of experience as a Product Manager, preferably in e-commerce, search, or related digital products, or a similar role in an Agile, Scrum, Kanban or similar software application development and/or project management team environment, or an equivalent combination of education, experience and/or training.
• Strong customer facing digital subject matter expertise with experience working on medium complexity features and/or an entire software application.
• Experience with search technologies and platforms (e.g., , Solr, Algolia, or similar) is required.
• Experience reviewing vendors and RFP processes for enterprise search platforms is preferred.
• Proven track record of launching a search platform, from initial discovery through execution and successful launch.
• Knowledge of A/B testing methodologies and experimentation platforms.
• Familiarity with taxonomy design, product categorization, and search filtering.
  

Field Service Representative Support FAL Cabin Interior

Locations: Everett, Charleston, San Antonio

Contract Duration: from 01/04/2026-31/12/2026, probably extension

Starting Date: 01/04/2026

Main mission:

-Ensure on-site support for FAL activities of cabin Interior products (Business and First-Class seats) at BOEING factories (Charleston / Everett / San Antonio) to support our customer FAL support manager.

Production activities:

-Plan/check the different flight line activities in accordance with the aircraft availability Schedule

-Follow up the installation activities on the Flight line in cooperation with Boeing/OSS/Customer

-Provide technical support with the appropriate technical documentation and drawings

-Coordinate the progress of open actions between OSS team (On-Site Support) and Customer Cabin Interior.

-Take part in the Flight Line’s work progress meetings together with aircraft manufacturers and Airline.

Sales activities:

-Determine non-conformities accountability with OSS (On Site Support) and BOEING

Logistics activities:

-Express parts needs in the Customer demand System (“Connect”)

-Tracking of parts deliveries required by Flightline, in relation to Customer homebase for providing and shipping parts.

-Validate the shipping priorities based on the Flightline requirement, including AOGs.

-Follow up the delivery lead times and ensure proper communication with OSS for installation, and BOEING for reporting.

-Follow up the activities and release KPI

-Support Aircraft delivery by supporting commitment letter activities in relation with Customer homebase

Quality Assurance Activities:

-Carry-out the continuous improvement of Customer Cabin Interior Products via Product feedback analysis and participation to the product improvement Committee (once a week),

-Ensure the availability of the technical documentation for the OSS,

-Maintain regular internal and external communications (meeting with Customer for FAL activity follow-up once a week)

• 5+ years aerospace experience (FAL, flight line, cabin interiors, or MRO).
• Ability to read and understand engineering drawings and aircraft documentation (IPC, AMM, SB).
• Experience supporting installations with OEMs or Tier‑1 suppliers (Airbus, Boeing).
• Basic knowledge of non‑conformities and quality processes.
• Practical experience in parts ordering, delivery tracking, and AOG priorities.
• Strong communicator, comfortable with cross‑company and multicultural environments.
• Organized, reliable, and able to maintain updated documentation and KPIs.

The Assembly Department Supervisor will perform the following duties and has the following experience and skill set:

Supervision of Assembly Operations: Lead and manage the assembly team, ensuring that all injection molded parts are properly assembled,

inspected, and ready for painting or coating. Ensure that assembly operations run smoothly, efficiently, and in compliance with established production schedules.

Quality Control & Standards: Maintain and enforce strict quality control processes throughout the assembly line. Ensure all parts meet Toyoda Gosei’s and customer specifications before advancing to painting/coating stages. Address and resolve any quality concerns promptly,

in collaboration with the quality assurance team.

Workplace Safety: Prioritize and enforce a culture of safety within the assembly area. Ensure that safety standards, procedures, and regulations are followed by all team members at all times, and that assembly-related work areas are properly maintained to prevent accidents and injuries.

Continuous Improvement: Foster an environment of continuous improvement within the assembly department. Collaborate with other teams to identify areas for efficiency improvements, waste reduction, and process optimization.

Participate in Lean, Six Sigma, and other initiatives to enhance the performance of the assembly line.

Training & Development: Oversee the training and development of assembly team members, ensuring they are well-versed in product specifications, assembly processes, safety practices, and quality standards. Promote a culture of teamwork, accountability, and skill growth.

Collaboration with Other Departments: Work closely with production planning, engineering, quality control, and logistics teams to ensure seamless transitions between the assembly, painting/coating, and shipment processes. Coordinate with the shipping department to ensure timely and accurate delivery of completed parts to customers.

Performance Metrics: Monitor and report on key performance indicators (KPIs) related to assembly throughput, quality rates, downtime, and other relevant metrics. Take proactive measures to meet or exceed production targets and maintain a high level of operational efficiency.

Toyoda Gosei is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

At Airco Mechanical, we’ve been a leader in commercial HVAC, Electrical, and Plumbing installation and service for over 40 years. With locations in Round Rock and San Antonio, our company continues to grow thanks to a talented team and a commitment to excellence. We provide competitive pay, strong benefits, and clear paths to advancement so our employees can build long-term careers. If you’re ready to work with a company that values its people and rewards performance, we’d love to meet you.

Why Work at Airco Mechanical?

• Competitive pay with opportunities to increase your income
• Excellent benefits package
• Stable company with 40+ years in business
• Opportunities for advancement and internal promotion
• Work/life balance

The successful candidate will need to be successful with the following responsibilities:

• Manage medium to large commercial HVAC projects
• Maintain and document communication with clients and company staff
• Ability to manage multiple projects in varies states of construction
• Working knowledge of construction cost, change order processes and forecast “Cost to Complete” reviews
• Work closely with labor managers
• Comprehend and manage general contractor scheduling of projects
• Train and mentor assistant project managers
• Knowledge of construction contracts

Requirements:

• 3+ years of commercial HVAC project management experience
• A degree in mechanical engineering or construction science is a plus
• Strong computer skills in Microsoft Office; Bluebeam & Navis experience are a plus
• Must possess a valid unrestricted Driver's License and a reliable vehicle

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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To view our legal statement click here

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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