Account Executive

Forward Deployed AI Strategist

Sr. Manager, Quality & Reliability Engineering

Staff/Principal Engineer, NAND TD, RDA

Principal/Staff Engineer - Process Development, CVD/Diffusion

Customer Engineer - C3

TA Specialist

Site Quality Leader

Talent Acquisition Specialist

Senior Data Scientist III - Agentic AI

Responsibilities:&nbsp; <ul><li>Build and sustain trusted customer relationships by identifying customer needs and delivering value-based solutions.&nbsp;</li><li>Manage opportunities and pipeline with discipline, including qualification, progression, forecasting, and follow-through to achieve revenue targets.&nbsp;</li><li>Apply consultative selling techniques to align customer requirements with company products and solutions.&nbsp;</li><li>Build credibility with customers by sharing technical, product, and market knowledge throughout the sales process.&nbsp;</li><li>Communicate clearly and persuasively through customer discussions, proposals, and presentations.&nbsp;</li><li>Use CRM and sales tools consistently to maintain accurate account, pipeline, and forecast information.&nbsp;</li></ul> Requirements: <ul><li>Five (5) or more years of experience in B2B or technical sales roles, specifically in the HVAC/R industry</li><li>Consultative selling and opportunity management skills.&nbsp;</li><li>Ability to identify customer needs and tailor solutions.&nbsp;</li><li>Strong written, verbal, and presentation communication skills.&nbsp;</li><li>Disciplined use of CRM tools to manage pipeline, forecasts, and account activity.&nbsp;</li><li>Legal authorization to work in the country of employment (Australia) – sponsorship will not be provided.&nbsp;</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Lead a global team of Advanced Quality Engineers in support of all new product introductions for a Strategic Product Line Portfolio within the Digital Data Networks (DDN) business unit. Lead all AQE activities from project inception to product launch and introduction.</li><li>Participate in the project Kick-off Meetings, support project team development for internal requirements, customer specific requirements, Risk Priority Number (RPN) reductions, analyze SPC data, etc.</li><li>Serve as the liaison between engineering and the plants on new product introductions to ensure robust process capability on all programs.</li><li>Attend project meetings and APQP driven events with the customers and the Project/Program Management Team.</li><li>Document the results for specific program characteristics and ensure the internal and external requirements are met including deviations.</li><li>Accountable for developing and driving on time delivery of Control Plans, Capability Studies, Part drawings, Inspection Instructions, Gage design and R&amp;R, DFMEAs, PFMEAs, AFMEAs for all assigned projects. Ensure the products developed are Designed for Manufacturing &amp; Assembly (DfMA) and are launched capably of meeting internal requirements and customer requirements.</li><li>Understand product requirements and define/approve Design Validation Test (DVT) and quality plans to ensure products meet the product specifications.</li><li>Authorize and approve that all Design Validation Test (DVT) results meet product specifications and customer requirements.</li><li>Actively participate in early product Concept Reviews and Design Review meetings with the Product Development Engineering (PDE) for the assigned product, related tooling and fixturing, and overall quality plans.</li><li>Generate and/or champion 8-Ds for the prototype process including 8-Ds for problem solving, test failures, and prototype failures.</li><li>Complete the Change Control process and identify special characteristics for projects/programs.</li><li>Work in conjunction with the Manufacturing Process Development Engineering (MPDE) teams to ensure the manufacturing process and equipment meets the product’s defined quality level and that the process also meets the capability levels identified for the product and project.</li><li>Assemble and submit PPAP package on time to the customer specific requirement.</li><li>Team with Supplier Quality Engineers to conduct and analyze process capability studies in support of Final Tool Approval (FTAR) for all tools and production lines associated with the project using the Comprehensive Tool Approval Report (CTAR), support completion of Supplier PPAPs.</li><li>Perform Six Sigma Capability Analysis of new equipment/processes to reduce variation.</li><li>Regularly reports to executive management on the overall performance and effectiveness of the Global Supplier Quality Program.</li><li>Drive high performance organization by providing your team routine coaching and feedback, holding your team accountable to meet performance objectives, and providing meaningful development to increase individual/team capability.</li><li>Manage employee well-being by prioritizing work, effectively managing resource loading, and providing flexibility to enable employees to successfully balance their work and personal lives.</li><li>Drive organization effectiveness by structuring your organization in a way that best enables the BU strategy, maximizes resource efficiency and productivity, and provides role clarity and clear lines of accountability.</li><li>Manage the talent in your organization to support the business now and to proactively prepare for the future by identifying organization skillset/role gaps, implementing plans to fill any skillset/role gaps, and assessing current talent fit to ensure the right talent is matched to the right roles to best meet the needs of the business.</li></ul> Requirements: <ul><li>Bachelor/ Master’s degree in technical discipline (Electrical Engineering, Electronics, Mechatronics)</li><li>10+ years of Experience in Quality, Advanced Quality Engineering, and working in global organizations.</li><li>Experience managing engineering teams in cross-functional, multi-site global organizations to drive effectiveness across geographical boundaries and deliver projects with multiple dependencies and constraints.</li><li>Demonstrated ability to forge strong internal working relationships with senior functional counterpart leaders.</li><li>Experience in the use of Lean, Six Sigma, Design for Six Sigma (DFSS), Design for Manufacturability &amp; Assembly (DfMA), Kaizen, 8D and other advanced statistical methods including Design of Experiments (DoE), Statistical Process Control (SPC) and Process Capability (CpK) analysis techniques.</li><li>Comprehensive knowledge and understanding of departmental, company, and corporate procedures and systems, i.e. ISO9000, ISO9001, IATF16949, ISO14001, VDA, PPAP, DFMEAs, PFMEAs, APQP Gate Reviews, GD&amp;T.</li><li>Excellent verbal and written communication skills and the ability to interact professionally with customers, leadership, stakeholders, cross functional teams and subject matter experts.</li><li>Proven track record of being able to work on multiple demanding programs in parallel while maintaining on-time completion of all defined project tasks and deliverables.</li><li>Ability to prioritize responsibilities in a fast-paced dynamic work environment.</li><li>Willingness to travel as required, ~30%</li></ul>

Responsibilities: <ul><li>Own the site-level RDA strategy and annual roadmap aligned to NAND TD technology nodes.</li><li>Lead analysis of experimental and production flows to detect, classify, and trend systematic and random defects.</li><li>Establish, track, and report program health metrics (baseline health, detection rates, false positives, MTTR).</li><li>Direct fast containment for defect excursions: trigger tool quarantines, define hold criteria, and lead 8D corrective actions.</li><li>Architect inspection recipes and sampling strategies; optimize sensitivity, throughput, and cost of ownership.</li><li>Partner with Process Integration, Yield, and Data Science to correlate inspection signals to device performance and yield.</li><li>Influence supplier roadmaps; evaluate, qualify, and release next gen optical/e-beam inspection capabilities.</li><li>Standardize and disseminate Best Known Methods (BKM) across global TD and manufacturing sites.</li><li>Mentor, coach, and upskill engineers; develop succession plans and technical ladders within the RDA domain.</li><li>Champion safety and continuous improvement (CIP); drive kaizen/lean initiatives that improve cycle time and learning velocity.</li></ul> Requirements: <ul><li>Bachelor’s degree with 7+ years relevant semiconductor experience, or Master’s/PhD with 5+ years.</li><li>Minimum 3+ years hands-on RDA experience in semiconductor manufacturing or equipment engineering.</li><li>Demonstrated expertise in defect inspection, process monitoring, and yield learning.</li></ul> Technical Competencies <ul><li>Realtime Defect Analysis (RDA) systems and workflows.</li><li>Optical and e-beam inspection technologies.</li><li>Statistical data analysis, correlation development, and large dataset interpretation.</li><li>Semiconductor process integration and technology development.</li><li>Root cause analysis and systematic problem solving (e.g., 8D, DMAIC).</li><li>Leadership &amp; Behavioral Competencies</li><li>Recognized technical authority with the ability to influence without direct authority.</li><li>Strong mentoring and coaching mindset with proven talent development outcomes.</li><li>Clear, concise communication skills across technical and executive audiences.</li><li>Ownership-driven, execution-focused; comfortable operating in ambiguity.</li><li>Impact &amp; Success Measures</li><li>Reduced defect-related yield loss and faster learning cycles.</li><li>On-time qualification and adoption of next-generation inspection capabilities.</li><li>Uplift in organizational RDA skill depth and succession pipeline.</li><li>Alignment of inspection strategy and capability to future NAND nodes.</li></ul>

Responsibilities: <ul><li>Develop and optimize unit processes to meet yield and quality targets for advanced NAND devices</li><li>Evaluate innovative process and equipment solutions for early experimentation and process margin improvement</li><li>Collaborate with Singapore-based Diffusion manufacturing teams to identify and prioritize key technology challenges</li><li>Integrate and troubleshoot processes within cross-functional teams focused on yield and quality enhancement</li><li>Partner with Boise TD Films teams to align future device requirements with process capabilities</li><li>Identify disruptive process technologies early and define viable implementation paths with global TD and manufacturing teams</li><li>Conduct fundamental research, hardware evaluations, and novel process testing to support intellectual property generation</li><li>Design and execute experiments to expand process margins and validate manufacturability of next-node solutions</li><li>Lead cross-functional initiatives to simplify processes and implement improvements</li><li>Embed best-known manufacturing practices into early-stage development of new nodes</li><li>Develop and apply advanced process monitoring and control methodologies.</li><li>Serve as a technical expert, contributing to process, equipment, and procedural improvements</li><li>Lead multidisciplinary projects across teams, sites, and suppliers focused on quality, yield, cost, and productivity</li><li>Advise management on significant technical issues and drive innovation through patents and technical publications</li><li>Maintain strict adherence to our client Intellectual Property protection policies</li><li>Engage continuously with global TD partners and suppliers to push for breakthrough solutions</li><li>Own and manage module-level business processes</li></ul> Requirements: <ul><li>Bachelor/Masters in Materials Science, Electrical/Electronics, Chemical, Microelectronic Engineering, Physics with minimum 5 years of relevant experience or PhD in Materials Science, Electrical/Electronics, Chemical, Microelectronic Engineering, Physics</li></ul> Strong understanding of: <ul><li>Flow dynamics, thermodynamics, and physical phenomena in deposition</li><li>Precursor depletion effects in 3D structures and mitigation strategies</li><li>Interface characterization techniques (e.g., SIMS, XPS, EDX, SEM/TEM)</li><li>Integration and structural constraints in film deposition processes</li><li>Memory process flows, especially for planar and vertical NAND</li><li>Proficiency in data analysis tools (e.g., Y3) and Design of Experiments (DoE)</li><li>Excellent communication skills for both in-person and remote interactions</li><li>Self-motivated, adaptable, and capable of managing multiple projects in a dynamic environment</li></ul>

Responsibilities: <ul><li>Install, maintain, and upgrade customer equipment</li><li>Apply basic diagnostic techniques to assess equipment and address technical issues, with assistance from Senior Field Service Engineers [Customer Engineers]</li><li>Collaborate with Senior Field Service Engineers [Customer Engineers] and/or the customer to understand roadmaps, process flows, inflection points, requirements, and business challenges&nbsp;</li><li>Train and mentor junior Field Service Engineers [Customer Engineers]</li><li>Perform preventative and corrective maintenance on electrical, vacuum, mechanical, plasma, hydraulic, and gas systems</li><li>Coordinate and communicate directly with customers</li><li>Fulfill additional duties, as assigned</li></ul> Requirements: <ul><li>Completion of a Diploma and/or Bachelor’s degree, military technical training, field service experience, or trade certification</li><li>4-7 years of work experience in semiconductor industry or other equipment support industry</li><li>Advanced mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, and/or thermodynamics</li><li>Strong knowledge of hand tools and their appropriate usage, including digital multimeters</li><li>Effective written and verbal communication skills</li><li>Basic knowledge of Microsoft Excel, Word, and PowerPoint&nbsp;</li><li>Possession of a valid driver’s license and the ability to obtain a passport, if travel is required.</li></ul>

Responsibilities: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

Role Description: <ul><li>The Site Quality Leader is responsible for the administration, supervision, and development of the Wilsonville Quality Assurance and Quality Engineering functions.&nbsp;</li><li>This position is responsible for ensuring full compliance to the regulatory requirements of 21 CFR 820, ISO13485, MDR and other applicable regulations including production and process controls.&nbsp;</li><li>The Site Quality Leader will report to the Global Head of Quality Operations.</li></ul> Responsibilities: <ul><li>Ensure that Material Review Boards are in place to ensure products are appropriately dispositioned within a timely manner, while ensuring appropriate corrective and preventive actions are initiated and regulatory requirements are met.</li></ul>&nbsp;Develop and implement systems to assure that development as well as production teams receive support in the following areas: <ul><li>Quality planning, including inspection techniques and sampling methods</li><li>Statistical Analysis</li><li>Application of required regulatory standards</li></ul> Develop and implement procedures and systems to assure product manufactured for human use meets design and functional specifications. These systems are to include as a minimum: <ul><li>Delivery of raw materials and components</li><li>Manufactured devices and equipment</li><li>Documentation associated with these functions</li><li>Develop, track, and report on the following administrative systems:</li><li>Department metrics</li><li>Department objectives</li><li>Personnel development and training</li><li>Support regulatory agency and customer quality audits.</li><li>Ensure the conformity of the components and products are appropriately checked in accordance with the Quality Management System before release.</li><li>Responsible for assisting and training associates in concepts of probability and statistics.</li><li>Responsible for failure appraisal and analysis (internal and external).</li><li>Authority to place products or processes on hold.</li><li>Design and develop forms and instructions for recording, evaluating, and reporting quality data.</li><li>Corrective and Preventive Action program</li><li>Based on operational/quality requirements, assist in test equipment selection and validation.</li><li>Utilize formal problem solving techniques to resolve product and/or process related issues.</li><li>As required, lead cross-functional teams to support resolution of product and/or process related issues or objectives.</li><li>Work with suppliers of both raw materials and components, to improve product quality and/or resolve quality issues.</li><li>Be innovative, knowledgeable and intensely committed to ensure that every product and service we supply conforms to FDA and Quality System Regulations..</li></ul> Requirements: <ul><li>Bachelors Degree with a scientific or engineering emphasis.</li><li>ASQ Certified Quality Engineer recommended. Six Sigma Green/Black belt recommended.</li><li>7-10 years experience in a related regulatory environment.</li><li>Experience should include positions at senior levels within the medical device organizations.</li></ul>

Responsibilities: <ul><li>Manage the recruitment process end to end&nbsp;</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Design job descriptions and interview questions that reflect the position’s requirements and attract talent to Company</li><li>Determining selection criteria for the open positions, in line with the Company-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Will need to make presentations to senior management</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Proposing employment offers in line with Company guidelines</li><li>Run reference checks when needed</li><li>Ensure that the recruitment process is efficient, effective and equitable.</li><li>Implement employer branding initiatives, both internally and externally</li><li>Organize and attend job fairs and recruitment events</li><li>Foster long-term relationships with candidates</li><li>Conduct Hiring manager and Brand ambassador workshops</li><li>Maintain strong connections with HR colleagues within Company to share best practices</li></ul> Requirements: <ul><li>Work experience as a recruiter with relevant experience with average of 7-10 years</li><li>Familiarity with social media, resume databases and professional networks</li><li>Experience with headhunting for mid to senior positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Experience with assessments is a plus but not a must</li><li>Strong communication skills</li><li>Good relationship building skills</li><li>Growth mindset and learning agility</li><li>Passion and desire to make a difference</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

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43 geological techniques Jobs found

Account Executive

Forward Deployed AI Strategist

Sr. Manager, Quality & Reliability Engineering

Staff/Principal Engineer, NAND TD, RDA

Principal/Staff Engineer - Process Development, CVD/Diffusion

Customer Engineer - C3

TA Specialist

Site Quality Leader

Talent Acquisition Specialist

Senior Data Scientist III - Agentic AI

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43 geological techniques Jobs found

Account Executive

Forward Deployed AI Strategist

Sr. Manager, Quality & Reliability Engineering

Staff/Principal Engineer, NAND TD, RDA

Principal/Staff Engineer - Process Development, CVD/Diffusion

Customer Engineer - C3

TA Specialist

Site Quality Leader

Talent Acquisition Specialist

Senior Data Scientist III - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.