Staff Machine Learning Engineer, Dynamic Pricing Job at Uber (San Francisco)

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff Algorithm Engineer

Realize your potential by joining the leading performance-driven advertising com...

Location

Israel , Tel Aviv

Salary:

Not provided

Taboola

Expiration Date

Until further notice

Requirements

M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
6+ years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions
4+ years Experience modeling auction dynamics in first-price environments (bid shading, market price modeling, win-rate prediction, clearing-price / floor-price estimation)
Strong knowledge in Python
Good knowledge in Java, Scala or C#
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills

Job Responsibility

Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue
Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

What we offer

comprehensive benefits (health, etc.)
fully stocked kitchen
location-specific perks (gym partnerships, parking)
hybrid work schedule with 3 days in-office with an option to come in more often if desired

Lead Product Manager, AI Storage Solutions

As a Lead Product Manager, AI Storage Solutions you will define the strategic vi...

Location

United States , Milpitas

Salary:

194425.00 - 275414.00 USD / Year

Sandisk

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Engineering, or related field
Minimum of 8+ years of experience in product management
Minimum of 2 years experience in AI Architectures for datacenters or on-device
Strong desire to take ownership of the full product lifecycle
Proven track record of managing and launching successful emerging technology products
Deep understanding of flash memory technology and AI Storage Solutions, 3D stacking, TSV architectures. NAND-based high bandwidth architectures
Any knowledge of AI software stack will be a added advantage

Job Responsibility

Define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems
Serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products
Own the multi‑year product roadmap, aligning with technology inflection points such as AI Storage Solutions, and emerging AI Storage Solutions architectures
Translate market dynamics, customer signals, and competitive insights into product requirements (MRD/PRD)
Lead deep technical engagements with hyperscalers and chipmakers (e.g., NVIDIA, AMD), turning customer performance, latency, and capacity needs into engineering deliverables
Position product solutions for AI inference, KV‑cache, and memory‑centric architectures informed by industry trends, inference context memory, KV‑tiering
Build business cases including TAM/SAM/SOM models, pricing strategies, investment requirements, and ROI modeling
Guide lifecycle execution from concept → development → through cross‑functional program reviews (Stage Gate)
Partner closely with ASIC, firmware, NAND, system, and quality teams to drive technical readiness and performance targets
Manage supplier relationships and work with supply chain to ensure cost, yield, and delivery success

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

Lead Product Manager, AI Storage Solutions

As a Lead Product Manager, AI Storage Solutions you will define the strategic vi...

Location

United States , Milpitas

Salary:

194425.00 - 275414.00 USD / Year

Sandisk

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Engineering, or related field
Minimum of 8+ years of experience in product management
Minimum of 2 years experience in AI Architectures for datacenters or on-device
Strong desire to take ownership of the full product lifecycle
Proven track record of managing and launching successful emerging technology products
Deep understanding of flash memory technology and AI Storage Solutions, 3D stacking, TSV architectures. NAND-based high bandwidth architectures
Any knowledge of AI software stack will be a added advantage

Job Responsibility

Define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems
Serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products
Own the multi‑year product roadmap, aligning with technology inflection points such as AI Storage Solutions, and emerging AI Storage Solutions architectures
Translate market dynamics, customer signals, and competitive insights into product requirements (MRD/PRD)
Lead deep technical engagements with hyperscalers and chipmakers (e.g., NVIDIA, AMD), turning customer performance, latency, and capacity needs into engineering deliverables
Position product solutions for AI inference, KV‑cache, and memory‑centric architectures informed by industry trends, inference context memory, KV‑tiering
Build business cases including TAM/SAM/SOM models, pricing strategies, investment requirements, and ROI modeling
Guide lifecycle execution from concept → development → through cross‑functional program reviews (Stage Gate)
Partner closely with ASIC, firmware, NAND, system, and quality teams to drive technical readiness and performance targets
Manage supplier relationships and work with supply chain to ensure cost, yield, and delivery success

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

New

Founding Business Development Representative

As a Founding Business Development Representative (BDR), you’ll be on the front ...

Location

United States , New York City

Salary:

Not provided

80Twenty

Expiration Date

Until further notice

Requirements

1-2+ years of experience in B2B SaaS, tech, or martech sales, ideally in an SDR or Business Development (BDR) role
University degree or equivalent experience in a similar position
Experience generating leads through cold calling, email, and video outreach
Excellent written and verbal communication skills in English
A persuasive and confident communicator who enjoys engaging potential customers and senior stakeholders
Motivated, proactive, and resilient – thrives in a metrics-driven environment
Familiarity with HubSpot, Salesforce, or Sales engagement tools
Based in or around New York City, with the ability to collaborate in a hybrid office environment

Job Responsibility

Prospecting & Lead Generation: Identify and engage key decision-makers at target accounts through multi-channel outreach (calls, emails, LinkedIn, and video)
Qualify inbound leads from marketing campaigns and convert them into active sales opportunities
Research accounts to understand their privacy, compliance, and marketing technology needs and tailor outreach accordingly
Build and maintain a strong pipeline through consistent outbound prospecting and market segmentation
Collaborate with Marketing to optimize campaign follow-up, lead scoring, and engagement tracking
Sales Collaboration & Strategy: Schedule and prepare discovery calls for Account Executives by uncovering prospect pain points and priorities
Maintain excellent CRM hygiene and accurately log activity within HubSpot or Salesforce
Work cross-functionally with Product, Customer Success, and Partnerships to share field insights
Think strategically and propose new approaches, tools, or messaging to improve team performance

What we offer

401K plan contribution
20 paid vacation days (PTO)
Health insurance
Development Budget for every employee
Hybrid workplace
Online yoga sessions
Headspace App
Events – Team Buildings, happy hours, parties/get togethers, occasional company covered breakfasts/lunches, in/across offices, online/in person etc.
Gifts – We celebrate life & work milestones at UC (work anniversaries, new bom babies and similar)
Snacks, fruits, coffee and drinks in the office

Fulltime

New

Sponsors Portfolio Management Associate

The Sponsors Portfolio Management - Associate position will be responsible for s...

Location

United States , New York; Charlotte

Salary:

125000.00 - 175000.00 USD / Year

Wells Fargo

Expiration Date

March 12, 2026

Requirements

2+ years of Corporate Banking experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Registration for Securities Industry Essentials (SIE) exam must be completed within 90 days of hire date if it is not available for transfer upon hire
Registration for FINRA Series 63 (or 66) must be completed within 90 days of hire date if it is not available for transfer upon hire
Registration for FINRA Series 79 must be completed within 90 days of hire date if it is not available for transfer upon hire
This position is subject to FINRA background screening requirements

Job Responsibility

Participate in underwriting new and existing credit facilities, including financial and credit analysis, risk identification, and recommendation of risk ratings
Conduct detailed financial modeling, sensitivity analysis, capital structure evaluation, and industry/market research
Prepare credit approval packages, underwriting memoranda, and credit committee materials
Review and interpret relevant credit policies, regulatory guidelines, and internal risk frameworks
Mentor analyst-level team members, teaching best practices and credit fundamentals
Support execution of transactions, including screening, structuring, due diligence, and material preparation
Coordinate with internal partners (Legal, Risk, Investment Banking, Treasury) to facilitate loan closings and documentation
Engage with clients to obtain required deliverables, discuss loan documentation, and support transactional execution
Support Relationship Managers and Coverage with portfolio insights, client requests, and follow‑up items
Ensure adherence to internal credit policies, regulatory expectations, compliance standards, AML/BSA considerations, and audit requirements

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

New

HSQE Advisor

We’re excited to welcome a new HSQE Advisor to our Eastern region team — someone...

Location

United Kingdom , Normanton

Salary:

Not provided

Story Contracting

Expiration Date

March 31, 2026

Requirements

NEBOSH Construction Certificate or NEBOSH Diploma
Experience and expertise gained in working in a similar role
Experience in accident investigation and root cause analysis
Ability to engage with Site Managers and Colleagues to gain buy in to H&S agenda
Excellent IT and reporting skills
Excellent communication skills
Ability to work on one’s own initiative
Identify risk to the business and opportunities for improvement
Forward thinking with ability to predict future risk profile based on work pipeline
High degree of attention to detail

Job Responsibility

Provide assurance, guidance and support ensuring the safe operation of sites, to comply with all Health and Safety regulatory and legislative requirements
Support the HSQE Lead to create a culture that promotes Health, Safety, Quality and Environmental Safety in the workplace
Monitor and accurately report on HSQE compliance
Conduct accident investigations ensuring problems are appropriately addressed and rectified.

What we offer

A competitive salary, pension and car/allowance
Training, mentoring, and genuine development pathways
A health cash plan and dedicated wellbeing support
Two paid volunteering days each year
An inclusive environment where your perspective, ideas and experiences are valued.

Fulltime

New

Raw material & packaging planner

The key purpose of the role is to plan raw and packaging materials for a Europea...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

June 29, 2026

Requirements

Bachelor or Master’s degree in Supply Chain, Logistics, Management or Business Administration
Min. 1-2 years experience in similar position, fresh graduates are also welcome
Business fluent English is required
Good communication skills and ability to develop and maintain relationships at different levels of organization
Ability to work in virtual environment
Open-minded and flexible personality
Strong analytical skills
Working knowledge of Microsoft Office (MS Excel in particular)

Job Responsibility

Plan raw and pack materials for various Adhesives plants in Europe
Manage inventory profiles to meet agreed target with focus on slow- and non-movers, looking for opportunities that would lead to scrap reduction
Reporting and monitoring activities related to Raw & Pack Planning KPIs
Participate in cross-functional projects where involvement of Raw & Pack Planning is required
Backing-up and replacing other Planners during holidays or leaves within European Raw & Pack Planning organization
Analyzing and optimization of Purchase-to-Pay processes following global standards
Collaborate closely with Supply Planners, Production Schedulers and other stakeholders from the organization

What we offer

Cafeteria: gross 836.000 HUF/year
Flexible working hours, hybrid working type (2 days HO/week)
Gender-neutral parental leave for a minimum of 8 weeks
30 days/year cross-border mobile work
Shopping possibility of Henkel products for a discounted price (up to 20-50% discount)
Diverse national and international growth opportunities
Globally wellbeing standards with health and preventive care programs
Long-term career development track
Supportive company culture
Opportunities to learn and develop yourself (e.g.: trainings, LinkedIn Learning access)

Fulltime

Staff Machine Learning Engineer, Dynamic Pricing

Uber

Location:
United States , San Francisco ▼
Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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