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Who is Boulevard? Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most. Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen . We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most . Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too. Come do the best work of your life at Boulevard. We’re looking for a Staff ML Engineer to help shape the next generation of our data and AI platform. In this role, you will design, build, and scale machine learning and AI-powered solutions on top of our modern data platform to power conversational analytics, automation, and customer-facing experience. You’ll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, identify high-impact AI opportunities for our customers. What You'll Do: Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience. Develop and operationalize end-to-end ML workflows - from data preparation and feature engineering to model training, deployment, monitoring and continue improvement. Build scalable AI solutions leveraging LLMs, embeddings, recommendation systems, forecasting models, and other modern ML techniques. Collaborate with Product and Engineering teams to identify high-impact use cases and deliver seamless AI-powered data products. Design and evolve semantic data models that enable accurate, consistent, and scalable analytics across the organization. Mentor engineers, provide technical leadership, and influence architecture and engineering standards across teams. What You’ll Need to Thrive 7+ years of combined experience in Data Engineering and Machine Learning roles 3+ years of experience building, deploying, and operating machine learning systems in production environments. Strong programming skills in Python and SQL, with experience using modern ML frameworks and AI tooling. Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar. Strong understanding of semantic layer design, MLOps practices, and data modeling principles that support reliable CI/CD for ML workloads. Experience building data products that leverage LLMs, embeddings, forecasting, recommendation systems, or other ML technologies. Experience with Snowflake Cortex is a plus. Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams. How We'll Take Care of You At Boulevard, we work hard to structure compensation in a way that balances internal equity with local market competitiveness, and we’re happy to share a good-faith estimate of the base salary range for this role. For candidates in NYC, the SF Bay Area, and Seattle, the anticipated base salary range is 136,000 - 171,000 per year. For all other U.S. locations, the anticipated base salary range is 118,400 - 162,800 per year. In addition to this base compensation, this role may be eligible to participate in a variable compensation program. Final compensation will vary based on a variety of factors which include but are not limited to applicable experience, location, and final leveling. In addition to the wonderful people you’ll get to work with and challenging projects that’ll push you - Boulevard is here to make sure you’re always at the top of your game emotionally, mentally, and physically. ✨ We’ve got you covered with a 401(k) match plus dental, medical, vision, and life insurance. 🏝 Take a break whenever you need with our flexible vacation day policy. 🖥 Fully remote so you can choose where you want to work. You’ll receive a work from home stipend every month. 💚 Family planning resources and specialized support programs. 🔮 Equity: get ahead on the ground floor and grow with Boulevard. 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve. 📲 We recommend following our official LinkedIn page to stay up to date on all things Boulevard life! Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.