Staff Machine Learning Engineer

Ziprecruiter

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission:  To actively connect people to their next great opportunity.  WHO WE ARE:  ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. SUMMARY: With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job. We’re working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it's also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job Key Focuses: * Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems * Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business * Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness * Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value * Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation * Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriate MINIMUM QUALIFICATIONS: * 7+ year of professional software development experience with a deep focus in machine learning * Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices * Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design. Preferred Qualifications: * 10+ year of professional software development experience with an expertise in machine learning * BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience * Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices * Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn * Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs) * Deeply versed in NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT As part of our team you’ll enjoy: * Competitive compensation * Exceptional benefits package * Flexible Vacation & Paid Time Off * Employer-matched 401(k) plan  #LI-Remote The US base salary range for this full-time position is $180,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) * Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. * Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. * Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. * Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. * Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. * Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. * Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.   What you'll need to thrive (Requirements) * 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. * Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. * Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. * Experience with distributed data processing and training, real-time inference, and ML Ops frameworks * Prior experience mentoring other data scientists or acting as a tech lead. * Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. * Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). * Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. * Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. * Excellent communication skills and the ability to influence both technical and non-technical stakeholders. * Strong business acumen with the ability to align technical solutions with company goals. * Experience building services on top of LLMs in a large scale production environment. Bonus ingredients*: * An advanced degree in Computer Science, Statistics, or a related STEM field is preferred. * Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability. * Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $170,000—$272,000 USD Zone B $148,000—$237,000 USD Zone C $133,000—$213,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role :  At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What you will get to do * Build and maintain robust data pipelines processing large volumes of data * Analysis of large data sets using tools such as Python & SQL * Update and optimize our data platform for speed, scalability and cost * Coordinate with different functional teams to understand and meet their data needs * Develop processes and tools to monitor and analyze model performance and data accuracy * Solve general data-related problems * Setting up new pipelines for the full stream/enrichment/curation process * Upkeep of source code locations * Investigating and utilising ML & AI to improve the cloud offering * Development of junior staff members  To succeed in this role, you should have * Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments) * Strong Leadership experience  * Strong problem solving skills * Advanced proficiency with SQL * Proficiency with Python * Experience with cloud platforms (e.g. Google Cloud, AWS, Azure) * Experience using version control tools such as git * Excellent written and verbal communication skills * A drive to learn and master new technologies and techniques * A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field Experience with the following would be a plus * Data governance * Building and deploying machine learning models * Terraform or other infrastructure as code tools What we can offer you * Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter * A take-home assessment  * A technical interview with a Lead in our Engineering Team * A behavioural and technical interview with a member of the Executive team.  Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.