Optimizely jobs

Analyst/Associate-Liquidity, Optimization & Balance Sheet Management Toronto, ON, CAN posted: Posted 4 Days Ago

EDA Workflow Optimization Engineer 4 Locations posted: Posted 30+ Days Ago

Senior Machine Learning Engineer Milan, Monte Penice

Research Intern - Model Optimization and HW Acceleration Redmond, WA, US

Senior Software Engineer, Growth (Fullstack) Remote - United States At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! To ensure our users make the most out of Algolia's powerful features, we need to first make sure that they understand our offerings and are able to set everything up quickly. The Growth org aims to help Algolia grow by working on changes in the product, introducing new features, and providing the best possible user experience. You will get to shape the user experience of our customers as they start using Algolia, help create a new Growth platform, mentor software engineers, and introduce best practices. A few projects we've worked on recently include: - New data integrations with other developer platforms - New marketplace and billing integrations - New internal platforms such as notifications, experimentation, feature flagging - AI based data processing platforms Your role will consist of: - Coming up

Sr. Director, Kitting Sales Operations & Optimization 3 Locations

Founding Algorithm Developer New York City | OnSite Fleetline writes optimization algorithms for enterprise trucking fleets. We work with some of the largest fleets in the country and are rapidly scaling our operations. A bit about us - Scaled from 0 to >$1.5m in signed contracts in under eight months; month-over-month growth is still increasing - Lean team of 12 based in New York City; everyone deeply cares about the company's mission, our clients, and each other. That care translates into high standards, close relationships, and intensity. - Backed by a large seed round from top investors like BoxGroup, Base10, and more. About the role - Build and scale core optimization algorithms used directly in production - Write optimization systems (e.g. MILPs, LPs, heuristics, etc.) - Build and maintain data pipelines that operate at real production scale - Move quickly from idea → implementation → customer usage - Contribute to long-term product and technical direction - Willingness to do whatever is needed technically, from deep algorithm work to integration and tooling - Comfortable being forward-deployed: talking to customers, understanding constraints, and solving concrete problems - In office in New York City is required. What we're looking for - Has experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar) - A generalist who can operate across the stack when needed - Ships code fast and often; not a perfectionist - Comfortable working in ambiguity with incomplete information - Extremely hardworking when part of a strong, mission-aligned team

Director, PB Optimize Product Boston, MA posted: Posted 2 Days Ago

Senior Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help

Director, Inspection Operations and Optimization Remote, Canada posted: Posted 30+ Days Ago

Process Monitoring and Optimization Engineer Bengaluru, Karnataka, India posted: Posted Yesterday

UX/UI Designer | Mid-Senior | Apps | Saily Warsaw, Poland At Saily, we're removing the hassle of staying connected while traveling - no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture , where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work. Main Responsibilities - Design features on Saily's mobile app. - Uncover user experience issues and validate solutions by carrying out user interviews - Cooperate with CEO, Product Owners, Engineers, Copywriters, and other colleagues - Elevate the team across all product life-cycle stages by providing user-centric insights, mapping out the flows, framing problems, and designing user interactions - Make clear

Senior Machine Learning Engineer Warsaw posted: Posted 9 Days Ago

Director, Warehouse Optimization & Automation Milwaukee, WI posted: Posted 30+ Days Ago

Research Intern - Machine Learning and Optimization - Redmond Redmond, WA, US

Go Software Engineer Poland Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do - Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment. - Develop and maintain Go firmware for embedded devices with focus on performance and security. - Extend Backend services implemented in Python and Go. - Take part in projects from inception to deployment and customer support. - Build prototypes, work on proof of concepts. - Collaborate

Power Analysis and Optimization Engineer China, Shanghai posted: Posted 30+ Days Ago

Data Scientist, Algorithms, Optimization - Fulfillment New York, NY At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing. As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers. Responsibilities: - Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team's systems and products - Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. - Perform exploratory data analysis to gain a deeper understanding of the problem - Construct and fit statistical, machine learning, or optimization models - Write production modeling code; collaborate with Software Engineers to implement algorithms in production - Design and implement both simulated and live traffic experiments

Production Optimization Engineer B Netherlands - Olst posted: Posted 23 Days Ago

Growth Manager Almaty Why work at Higgsfield AI? Higgsfield AI is the fastest-growing GenAI platform in the world - #1 in Video AI in the U.S. and top globally by growth. We raised a $130M Series A - and we're only getting started. This is your chance to join early, when the team is small but mighty, and help build the next GenAI decacorn. What Growth Means at Higgsfield At Higgsfield, growth is about distribution and revenue , not branding or theory. A Growth Manager here is a high-agency operator who: - Finds channels that can drive real users and revenue - Tests ideas quickly using imperfect data - Automates repeatable processes - Negotiates partnerships that compound over time This is a hands-on role. You will execute, measure, iterate, and scale. What You Will Do Creator & Partner Growth - Identify creators and influencers who can drive high-quality users. - Design and negotiate creator partnerships (affiliate, rev share, performance-based deals). - Launch, manage, and optimize creator campaigns end-to-end. - Track performance and double down on what works. Analytics & Decision-Making - Build and maintain simple Excel / Google Sheets models to: - Estimate traffic, conversions, and revenue - Evaluate ROI of partnerships - Decide which creators to scale or cut - Turn messy data into clear actions. Automation & Scale - Automate creator discovery, outreach, tracking, and reporting. - Build lightweight systems using tools like Sheets, Zapier, Apify, Instantly, CRMs, APIs, or scripts. - Reduce manual work and increase throughput.

Performance Marketing Manager (Türkiye) Türkiye fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role You'll own and scale our performance engine end-to-end. From high-velocity model launches to paid acquisition across search and social, you'll drive qualified traffic, conversions, and revenue. What you'll do - Build and scale a high-performing acquisition engine across search and paid social - Own Google Search: launch agile campaigns for frequent model releases and build always-on campaigns that convert high-intent traffic into revenue - Own paid social (Meta, TikTok, YouTube, Reddit): collaborate with creative and content teams to produce quickly, test aggressively, and scale what works - Partner with marketing and product teams to align on priorities, launches, and messaging - Drive experimentation across channels, landing pages, and funnel conversion - Analyze performance deeply: identify bottlenecks, surface insights, and recommend product and marketing improvements - Build scalable reporting and attribution to tie spend to revenue - The majority of the team

Executive Director, Discount Planning & Optimization RI - Woonsocket posted: Posted Today

Growth Optmization Specialist - Mercado Pago Sudeste,Brazil

Senior Machine Learning Engineer / Data Scientist Czechia Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time