868 matching jobs for “Machine Learning Engineer 4”

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Micron Technology

Staff I4.0 Product Owner

MSB, Singapore

Product Ownership & Industry 4.0 Leadership Define and drive the I4.0 product roadmap, aligning product priorities with business …

Added Nov 3, 2026

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Nvidia

… market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by …

Added Oct 27, 2026

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KLA

Senior Lead Talent Acquisition & University Relations

Chennai, Tamil Nadu, India

… the annual campus compensation and offer strategy proposal to HR leadership. B. Lateral Hiring (50%) 4. End-to-End Lateral & Critical Skills Hiring Own full-cycle recruitment for lateral, senior, niche and …

Added Nov 12, 2026

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Cisco Systems

Leader, Semiconductor Product Engineering

San Jose, California, United States +3 locations

Pay posted by employer$194,600–$285,700

… the ability to inspire and develop engineers across career stages, fostering accountability and continuous learning Hands-on mastery of Statistical Process Control (SPC), Design of Experiments, Six Sigma methodologies, and …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - US Card (Resiliency Intelligence)

McLean, Virginia, United States +2 locations

… a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities …

Added Oct 27, 2026

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Rockwell Automation

Intern, Customer Response Engineering

Mayfield Heights, Ohio, United States

Full time

Pay posted by employer$20.00–$32.00 per hour

… Knowledge of software design, debugging, and troubleshooting techniques Minimum cumulative GPA of 3.0 on a 4.0 scale Experience with GitHub and source control practices Familiarity with AI, generative AI, machine …

Added Oct 27, 2026

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Capital One Financial

Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible Banking Compliance

Richmond, Virginia, United States +1 location

Added Oct 27, 2026

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Bristol-Myers Squibb

Data Scientist, Sr. Specialist, Supply Risk Analytics

New Brunswick - NJ

Full time
Regular

Pay posted by employer$77,950–$94,451

… to answer key business questions that drive supply strategy and operational decisions using data science, machine learning and Generative AI. The Data Scientist, Sr. Specialist joins the Supply Risk Analytics team, …

Added Oct 15, 2026

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Databricks

Sr. Deployment Strategist, FDE - Manufacturing & High-Tech

United States

Remote
Senior

Pay posted by employer$219,765–$302,220 USD

… including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns. You can lead architecture discussions, evaluate …

Added Oct 4, 2026

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Databricks

Sr. Deployment Strategist, FDE - Healthcare & Life Sciences

United States

Remote
Senior

Pay posted by employer$219,765–$302,220 USD

Added Oct 4, 2026

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Databricks

Sr. Deployment Strategist, FDE - Financial Services

Atlanta, Georgia, United States +4 locations

Remote
Senior

Pay posted by employer$219,765–$302,220 USD

Added Oct 4, 2026

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Databricks

Sr. Deployment Strategist, FDE - Communications, Media, Entertainment & Gaming

United States

Remote
Senior

Pay posted by employer$219,765–$302,220 USD

Added Oct 4, 2026

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S&P Global

Software Engineering Manager, Backend Development (Python)

Hyderabad, Telangana, India +1 location

Full time

… use): 03 Who We Are Kensho is S&P Global’s hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers …

Added Oct 27, 2026

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AI Engineering Intern

Sant Cugat del Vallès, Catalonia, Spain

Part time
Internship

… and NumPy. Working knowledge of SQL for querying and validating data. Understanding of statistics and machine learning fundamentals, including anomaly detection and model evaluation. Familiarity with data …

Added Oct 30, 2026

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Electrical/Hardware Engineering Intern

Corvallis, Oregon, United States

Full time
Internship

Pay posted by employer$45.00–$52.00 per hour

… supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. Job Summary This internship will focus on building connected, end-to-end datasets …

Added Oct 12, 2026

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Micron Technology

Principal Product Quality Engineering

Taichung - Fab 16, Taiwan

… Support the NPI qualification, PG/PTS yield improvement, Burn and module dpm reduction, defense line 4 enhancement and shift-left improvement Cover critical SWRs and RAR risk assessment, Fab Excursion-affected …

Added Nov 3, 2026

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Data Science Intern

Sant Cugat del Vallès, Catalonia, Spain

Part time
Internship

… developers, share reusable components and patterns, and help foster a culture of building and continuous learning. Must-have Education: currently enrolled in a Bachelor's or Master's in Computer Science, Software …

Added Oct 22, 2026

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Nvidia

Engineering Technician, Datacenter Performance

Santa Clara, California, United States

Added Oct 27, 2026

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Caterpillar

2027 Engineering Corporate Parallel Co-op Program

Mossville, Illinois +5 locations

Pay posted by employer$25–$43

… & simulation tasks in support of Caterpillar product development in the following areas: Product Design: Engineer components & systems for Caterpillar products to meet our customers’ needs. Deliver solutions by leading …

Added Oct 27, 2026

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KLA

Software Engineering Manager-AI/ML

Ann Arbor, Michigan, United States

Full time
Regular

Pay posted by employer$114,100–$194,000 per year

… strategic planning to drive innovation and enhance product capabilities through artificial intelligence and machine learning. Key Responsibilities: Lead and mentor a team of software engineers, fostering a culture of …

Added Oct 18, 2026

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KLA

Senior Lead Talent Acquisition & University Relations

Chennai, Tamil Nadu, India

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Minimum Qualifications · employer excerpt

MBA or postgraduate degree in HR / Management or equivalent from reputed University / Insititute.
10+ years of Talent Acquisition experience in an MNC, with at least 4 years in University Relations at a semiconductor, hi-tech, engineering, product or deep-tech organisation / GCC.

About this opportunity

Original employer description

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

KLA's Human Resources team drives business success by mobilizing our global talent to achieve both short- and long-term objectives. Our strategic areas of focus encompass HR business partnerships, learning and development, talent acquisition, compensation and benefits, inclusion, and HR systems and operations.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Role Overview

The Lead – Talent Acquisition owns two equally weighted mandates for KLA India’s Global Capability Center: the end-to-end University Relations (UR) program and the lateral hiring of niche, senior and critical engineering talent. The role builds an integrated early-career and experienced-hire talent pipeline across AI/ML, High-Performance Computing (HPC), design engineering, software, R&D and corporate functions.

Working with a high degree of independence, the Lead sets the India campus and lateral hiring strategy, builds long-term partnerships with top engineering institutions, drives campus employer branding, and leads data-led campus offer and compensation analysis. The Lead acts as a trusted talent advisor to engineering leaders, HR Business Partners and Global TA, and uses analytics and AI-enabled tools to improve speed, quality and cost of hiring.

Key Responsibilities

University Relations (50%)

1. Campus Hiring Strategy & University Partnerships:

Lead annual India campus hiring strategy for interns, graduate engineers and postgraduate hires, aligned to business workforce plans.
Prioritise target institutions using data on talent quality, intern-to-PPO conversion, offer acceptance and return on investment for the position like AI/ML, High performance engineering, and Engineering.
Build and sustain strategic partnerships with Tier-1 and Tier-2 institutions (IITs, NITs, IIITs, BITS and other leading universities), including industry–academia projects, research collaborations and guest lectures.
Run the full campus cycle independently – pre-placement talks, assessments, interviews, offers and engagement through to joining.
Lead internships program, hackathons and university workshop to build the early-career pipeline and drive intern-to-full-time conversion.

2. UR Branding & Campus Employer Branding:

Define and execute the KLA India UR branding plan with Communications and Marketing to position KLA as an employer of choice for semiconductor, AI/ML, HPC and design engineering talent.
Run campus campaigns, technical talks, social media content, employee and intern stories, and student ambassador programs.
Represent KLA at career fairs, tech fests, coding competitions and industry–academia events.
Measure branding reach and engagement (career site traffic, campaign response, application conversion by campus) and refine the plan based on results and competitor benchmarks.

3. Campus Offer Analysis & Compensation Benchmarking:

Lead annual campus pay benchmarking using salary surveys, peer company data and institutional placement reports.
Recommend offer structures by institution tier, degree, specialisation and role family (including premium skills such as AI/ML, HPC and VLSI/design), and secure approval with Total Rewards.
Analyse offer outcomes – acceptance, declines, reneges, competing offers and day-slot positioning – and recommend timely pay and process changes as the market moves.
Prepare and present the annual campus compensation and offer strategy proposal to HR leadership.

B. Lateral Hiring (50%)

4. End-to-End Lateral & Critical Skills Hiring

Own full-cycle recruitment for lateral, senior, niche and critical-skill roles across engineering, R&D, software, digital, IT and corporate functions.
Advise hiring managers on role definition, talent availability, sourcing channels, location strategy and assessment approach.
Implement structured assessment frameworks (competency mapping, interview calibration, selection matrices) to reduce bias and improve quality of hire.
Ensure strong governance on time to fill, quality of hire, offer-to-join ratio and candidate experience.

5. AI/ML, HPC & Strategic Engineering Talent

AI/ML: Build talent maps and targeted sourcing strategies for machine learning, computer vision, data science and MLOps talent, combining campus pipelines from top AI programs with lateral hiring from product and deep-tech companies.
HPC: Develop a sourcing strategy for HPC, GPU/parallel computing, performance optimisation and distributed systems engineers, including partnerships with institutions and research labs strong in high-performance computing.
Use external talent intelligence and market insights to advise leaders on demand–supply gaps, compensation trends and competitor hiring for these critical skill families.

C. Shared Responsibilities (Across UR & Lateral)

6. Workforce Planning & Stakeholder Partnership

Translate global and India GCC workforce plans into actionable campus and lateral hiring plans aligned to semiconductor business priorities.
Act as a talent advisor to engineering heads, business leaders and HR Business Partners, and influence decisions without formal authority.
Present hiring strategy, market insights and results in quarterly business reviews and annual workforce planning.
Partner with Global TA, Global University Relations and CoEs to align India practices with global hiring standards.

7. Data Analytics, AI Tools & Process Excellence

Build and own hiring dashboards covering pipeline conversion, time to fill, offer-to-join ratio, quality of hire, sourcing mix, cost per hire, diversity mix and ROI by institution.
Drive adoption and optimisation of Workday, HiredScore, recruitment automation and AI-enabled sourcing, screening, assessment and candidate engagement tools.
Use generative AI for job postings, outreach and campus content, and pilot new HR technology with clear recommendations for scale-up.
Standardise TA and campus processes to ensure scalability, consistency and audit readiness.
Qualifications & Experience

Must-have

MBA or postgraduate degree in HR / Management or equivalent from reputed University / Insititute.
10+ years of Talent Acquisition experience in an MNC, with at least 4 years in University Relations at a semiconductor, hi-tech, engineering, product or deep-tech organisation / GCC.
Proven experience hiring niche lateral engineering talent, ideally across AI/ML, HPC and/or design engineering.
Hands-on experience with campus compensation benchmarking, offer structuring and offer outcome analysis.
Track record of leading employer and campus branding initiatives with measurable results.
Strong data skills: advanced Excel and Power BI or Tableau; practical experience using AI tools in recruitment.
Excellent communication, presentation and storytelling skills, with confidence engaging senior leaders, global executives and external partners.

Good to have

Established relationships with leading engineering institutions in India.
Experience with Workday, HiredScore or similar ATS and candidate relationship platforms.
Knowledge of the semiconductor and deep-tech talent market.
Experience running diversity-focused campus and early-career programs.
Experience in GCC scale-up environments.

Minimum Qualifications

MBA or postgraduate degree in HR / Management or equivalent from reputed University / Insititute.
10+ years of Talent Acquisition experience in an MNC, with at least 4 years in University Relations at a semiconductor, hi-tech, engineering, product or deep-tech organisation / GCC.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.

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