Interested in this AI/ML Engineer role at Sony?
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Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en .
POSITION SUMMARY
Sony Corporation of America (SCA) is seeking a Manager, AI Accelerator Business Partner to serve as a strategic connector across functions, helping departments and leaders identify , prioritize, and address business challenges through AI\-enabled solutions. This role operates as a strategic advisor and co ‑ driver of AI ‑ enabled business transformation , leading cross\-functional AI initiatives from discovery through implementation and scale. Partnering directly with senior leaders and subject matter experts, the Manager helps shape priorities, translate operational challenges into practical AI use cases, drive experimentation and adoption, and deliver measurable business value. In addition, the role supports the redesign of workflows and decision ‑ making processes to better leverage AI and improve overall efficiency and effectiveness.
A key expectation of this role is to enable business teams to build the capability to independently identify and apply AI over time, reducing reliance on centralized support and fostering sustainable, long ‑ term adoption.
The role requires a high degree of autonomy, with responsibility for setting direction, managing complexity, and advancing AI adoption and new ways of working across the organization. The ideal candidate brings strong business partnering, problem\-solving, program management, and change leadership skills, along with a solid understanding of AI capabilities, limitations, and responsible use practices.
This position will be on a Hybrid schedule with at least 3 days per week in the New York, NY office.
JOB RESPONSIBILITIES
- Business partnership and problem discovery: Serve as a trusted partner to leaders across functions to assess business priorities, identify pain points and workflow inefficiencies, and uncover high\-value opportunities where AI can improve productivity, decision\-making, employee experience, or business outcomes.
- AI opportunity identification and prioritization : T ranslate business needs into clear AI use cases , assess feasibility, business value, risk, and organiz ational readiness, and partner with leaders to prioritize initiatives based on impact, scalability, and resource requirements , while considering opportunities to improve or redesign broader workflows
- Cross\-functional coordination: Serve as a key connector across business stakeholders and AI, data, technology, privacy, security, legal, and change management partners to align priorities and move initiatives from idea through pilot, implementation, and scale.
- Use case development and implementation support: Lead definition of business requirements, success metrics, process changes, and adoption plans for AI initiatives, and guide pilots and proofs of concept to ensure solutions address real business needs and are designed for sustainable outcomes.
- Change management and adoption: Lead change management efforts to build awareness, engagement, and readiness across teams by partnering with leaders to communicate the purpose of AI initiatives, address resistance and ambiguity, and reinforce practical, responsible use in day\-to\-day work.
- Value measurement and continuous improvement: Establish success metrics, track outcomes, gather stakeholder feedback, and translate insights into actions that refine solutions, strengthen adoption, and identify additional opportunities for scale and broader impact
- AI capability building and self\-sufficiency : Strengthen AI literacy and practical understanding across functions by curating and sharing relevant use cases, lessons learned, and resources . Actively support business teams in developing the ability to independently identify , prioritize, and apply AI , enabling more self ‑ sustaining and scalable adoption over time.
- Governance and responsible use: Guide alignment of AI initiatives with company policies and data privacy, legal, security, and ethical standards, and partner with relevant teams to enable compliant, responsible, and scalable deployment.
- Executive communication: Develop clear executive updates, recommendations, and decision\-support materials that help leaders evaluate AI opportunities, monitor progress, understand risks and outcomes, and make informed decisions.
- Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above .
QUALIFICATIONS FOR POSITION
Your qualifications and experience should include:
- Bachelor’s degree in B usiness , Information Technology, Organizational Development, Operations, Human Resources, or a related field; advanced degree preferred.
- 7\+ years of experience in business partnership, transformation, consulting, operations, or a related field, with demonstrated ownership of cross\-functional initiatives and stakeholder management at senior levels.
- Experience partnering across multiple departments and influencing leaders without direct authority.
- Demonstrated ability to influence decision\-making, align diverse stakeholders, and move cross\-functional initiatives forward in complex environments.
- Strong ability to identify underlying business challenges, frame opportunities, and translate business needs into practical, actionable solution s.
- Solid understanding of AI, generative AI, automation, and related digital capabilities, including considerations related to responsible use, risk, and adoption.
- Excellent communication, facilitation, and presentation skills, with the ability to translate technical concepts into clear business implications and recommendations.
- Strong project and program management skills, including planning, coordination, issue resolution, and disciplined execution.
- Ability to work effectively in ambiguity and lead through change in a fast\-evolving environment.
- Experience developing business cases, defining success metrics, and measuring outcomes preferred.
We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology.”
Benefits:
SCA offers benefits\-eligible employees ( generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well\-being.
What we offer you:
- Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)
- Employee assistance plan and comprehensive behavioral health benefits
- Fertility benefits, including, surrogacy, and adoption assistance programs
- Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children
- Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance
- Short\-term \& long\-term disability plans
- Up to 12 weeks of paid parental and caregiver leave
- 401(k) Plan with pre\-tax, Roth, and after\-tax options and company match with immediate vesting
- Education assistance and student loan programs
Other Programs:
- Flexible Work Arrangements, including hybrid work schedules
- Time off to include vacation, paid holidays, sick leave, Summer Fridays ( early release ), and a winter break between Christmas and New Year’s Day (based on business needs)
- Referral bonuses (subject to eligibility)
- Matching gift program
- A wide variety of employee business resource groups (EBRGs)
- Special discounts on Sony products, offered exclusively to Sony employees
- Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after\-tax payroll deductions)
*The* *anticipated* *annual base salary for this position is $140,000 to $150,000\.* *In addition to the annual base salary, this role has an annual bonus target of* *13%.* *This* *range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.*
\#LI\-BC1
All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America
Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010\. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third\-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact [email protected] before submitting any information.
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Salary Context
This $140K-$150K range is below the median for AI/ML Engineer roles in our dataset (median: $180K across 1841 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Sony, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $218,750 based on 3,817 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($145K) sits 34% below the category median. Disclosed range: $140K to $150K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Sony AI Hiring
Sony has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $150K - $150K.
Location Context
AI roles in New York pay a median of $220,000 across 1,045 tracked positions.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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