Machine Learning Engineering Manager, Recommendations Job at Suno (San Francisco)

Engineering Manager, Machine Learning

We are looking for an Engineering Manager, Machine Learning to lead a team of ML...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning engineering, with a strong track record of shipping models to production in consumer-facing products (recommendations, search, ads, personalization, or similar domains)
Experience managing an ML or software engineering team
BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field
Deep expertise in recommendation system architectures, deep neural networks, and ranking models
Strong software engineering fundamentals and experience writing production-quality code
Experience with large-scale ML tooling and infrastructure: PyTorch/TensorFlow, Spark, Airflow, cloud-native MLOps platforms
Experience with multi-objective optimization, reinforcement learning, or Bayesian methods in production settings
Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
Demonstrated ability to connect ML work to measurable product and business outcomes
Experience building and scaling ML teams in a distributed or multi-site setting

Job Responsibility

Lead, mentor, and grow a team of ML engineers
foster a culture of technical excellence, ownership, and collaboration
Set the technical roadmap, aligning priorities across the team and within the broader Recommendations organization
Drive system design and architecture decisions for ML models powering content ranking, user modeling, multi-objective optimization, and personalization across Roku's key surfaces
Provide technical leadership on model architecture choices, training and serving infrastructure, and evaluation methodologies
Own the A/B experimentation and measurement strategy for your team's surfaces
ensure ML work is tied to measurable product and business outcomes
Champion the adoption of generative AI to push the boundaries of recommendation and personalization
Partner with Product, Engineering, and cross-functional stakeholders to translate business goals into ML solutions
Recruit and develop ML talent in Bengaluru

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs

Fulltime

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
10+ years of industry experience in software engineering and AI/ML
5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
Experience working with cross-functional teams (product, science, product ops, etc.)

Job Responsibility

Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Manager - Machine Learning

As a Senior Manager at Roku Search, you will lead a team of talented engineers a...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

12+ years of experience in software engineering
3+ years of experience in managing engineering teams
Strong background and hands-on experience in Machine Learning, Natural Language Processing, and Information Retrieval
Proven track record of delivering high-quality and scalable search engine solutions
Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
Passion for creating a great user experience and solving hard problems
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience

Job Responsibility

Manage, mentor, and grow a team of engineers and data scientists who work on search platform and ML optimizations
Define the vision, strategy, and roadmap for search relevance, platform optimizations and innovation
Oversee the design, implementation, and evaluation of search engine features and algorithms, such as query understanding, ranking, relevance, personalization, and voice search
Conduct data analysis and user research to identify search engine opportunities and challenges
Collaborate with multiple Cloud (ML and engineering) teams, product and business teams to ensure high degree of alignment, ruthless prioritization in a fast-paced, hyper-growth environment
Provide technical direction, guidance, mentoring and hands-on management
Plan for operational efficiency to scale products, programs and practices
Recruit and manage a world-class Search platform and ML engineering talent
Assimilate Roku culture and lead by example to nurture and develop it with the broader team
Identify, recommend and develop best practices to improve agility in development pace across geo-distributed teams

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Vacation and other personal time off

Fulltime

Product Manager, Machine Learning

In this role, you will develop and execute a strategy to enhance Ad supply perso...

Location

United States , Bellevue

Salary:

146000.00 - 204000.00 USD / Year

Manager- Applied Sciences / Machine Learning

The Microsoft Content Product team is seeking a Manager-Applied Sciences/Machine...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
OR equivalent experience
3+ years of people management experience

Job Responsibility

Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering
Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation
Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration
Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production
Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact
Champion innovation in AIGC applications, ranking, and recommendation algorithms
Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning
Communicate progress, insights, and strategy to senior leadership and stakeholders

Fulltime

Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber has expanded its services beyond transporting people to include the deliver...

Location

United States , New York

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years in software engineering with a primary focus on high-traffic backend systems
4+ years of engineering management experience
Deep experience in distributed systems, API/service design, and high-scale production serving
Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization
Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation
Strong verbal and written communication skills with the ability to influence technical and product roadmaps

Job Responsibility

Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces
Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership—managing, coaching, and growing all team members
Drive Reliability & Performance: Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services
Evolve Data Flow: Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs
Technical Vision: Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning
Operational Excellence: Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies
Scale Experimentation: Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
Guides the architecture of scalable pipelines and datasets
Influences the direction of the team
Begins to anticipate potential data pipeline issues and provides solutions

Fulltime

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Machine Learning Engineering Manager, Recommendations

Job Description

Job Responsibility

Requirements

What we offer

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