{"id":197953,"url":"https://alion.io/job/betterhelp-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":6949,"name":"BetterHelp","domain":"betterhelp.com","url":"https://alion.io/company/betterhelp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":170000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-03T17:29:19Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-24T12:24:43Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Who are we and why should you join us?\nBetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.\nAs a Staff Machine Learning Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.\nWhat are we looking for?\nBetterHelp is looking for a Staff Machine Learning Engineer to join our growing Data team. In this role, you’ll help drive a range of impactful, ML-driven initiatives that power our products and improve outcomes for our users.\nWe’re seeking someone who brings a strong combination of machine learning, optimization, and software engineering experience. You’ll be responsible for designing and building machine learning and optimization models, as well as partnering closely with Data Scientists to productionize and scale their work. As a key member of the team, you’ll collaborate cross-functionally with Data Engineers, Software Engineers, and Product Managers, playing a pivotal role in shaping how machine learning is applied across the business.\nThis is an exciting opportunity for someone who wants to lead and scale ML efforts, work on meaningful problems, and make a real impact while working on a product used by millions globally. You’ll work closely with the Director of ML/Data Engineering and help define the future of our ML platform and capabilities.\nWhat will you do?\nDesign, prototype and productionize scalable machine learning and optimization models\nPlay a critical in setting up the best practices in machine learning, setting direction of the machine learning platform\nDevelop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks\nPartner with data scientists to troubleshoot and optimize complex data pipelines\nWork with product managers and business partners to gather requirements for machine learning models\nBuild model deployment platform that can simplify implementing new models\nBuild end-to-end reusable pipelines from data acquisition to model output delivery\nMentor and guide junior data scientists to deploy their models into production\nDesign & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp\nWhat will you NOT do?\nYou will NOT worry about \"runway\", \"cash left\", or \"how much time we have until the next round\". We have the startup DNA but we're fully backed and funded, all the way to success.\nYou will NOT be confined to your \"job\". You will get involved in product, marketing, business strategy, and almost everything we do.\nYou will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!\nYou will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.\nCan I work remotely?\nYes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.\nRequirements\n6+ years of experience in machine learning\nProven experience deploying and integrating machine learning models into production systems\nStrong expertise in machine learning techniques, including deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction\nExtensive experience building personalization and recommendation systems\nWorking knowledge of operations research concepts such as mathematical modeling, linear and integer programming, and discrete event simulation\nFamiliarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)\nSolid foundation in computer science fundamentals, including object-oriented programming, data structures, and algorithms\nAdvanced proficiency in Python and SQL\nExcellent written and verbal communication skills\nExperience developing data pipelines and machine learning libraries/tools\nEagerness to learn and adopt new technologies\nInterest in mentoring junior machine learning engineers and data scientists\nComfortable working in fast-paced, high-growth, and agile environments\nBenefits\nRemote work with regular in-person bonding experiences sponsored by the company\nCompetitive compensation \nHolistic perks program (including free therapy, employee wellness, and more)\nExcellent health, dental, and vision coverage\n401k benefits with employer matching contribution\nThe chance to build something that changes lives - and that people love\nAny piece of hardware or software that will make you happy and productive\nAn awesome community of co-workers\nThe base salary range for this position is $170,000 - $245,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.\nAt BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. 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