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AWS or GCP) and developing machine learning models in a cloud environment. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. We are trusted by OpenAI, Meta, Microsoft, government agencies such as the

Machine Learning Research Scientist / Research Engineer, Post-Training.Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research.We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF,

The Principal Data Scientist Machine Learning/Deep Learning is a primary driver in the design and development of state-of-the-art Artificial Intelligence solutions for medical applications. This position works closely with senior data scientists, machine learning engineers, software engineers and su

Staff Data Scientist/Machine Learning Engineer to drive data-informed decisions. Data Scientists/MLEs in this team work on projects from ideation to implementation, developing and implementing machine learning models and algorithms that leverage user platform activities and industry trends to delive

You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. A strong understanding of the math and theory behind machine learning and deep learning. We seek out teammates that are constantly l

Senior Machine Learning Scientist (USA Remote). We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Optimize models for scaled production usage and communicate insights, including model behavior and limi

Research and develop production-grade Machine Learning models optimized for scaled production usage. EducationTechnology #MachineLearning #RemoteWork #CareerOpportunity #CompetitiveBenefits. Remote-first culture with flexibility in work arrangements.

Associate Research Scientist - Machine Learning, Center for Computational Mathematics (Joint with Cooper Union). Associate Director, Commercial Analytics and Data Science.

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. Exp

Job Description Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In’s 2024 & 2025 Best Startups to Work For In the U.S. * Built In’s 2023 - 2025 Best Startups to Work For In New York City * Fast Company’s Most Innovative Companies of 2022 * Business Insider’s Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: * Identifying credit risk for our customers so that we can help more people in need when they need it * Optimizing our marketing spend by predicting LTV for our customers * Helping us reduce our overall churn by predicting customer churn and improving retention We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you’ll be doing: * Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks. * You’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way. * Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts. * Monitor the performance of the models in production and take appropriate actions when necessary * Analyze how our customer base is shifting as we grow and pinpoint areas we can improve. * Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics What you have: * Advanced degree in data science, statistics, computer science, or related field. * 5+ years of experience doing data science (modeling + analysis) * Proficiency in Python and in-depth understanding of SQL * Competent in machine learning principles and techniques * Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. * Experience in writing complex SQL queries and the ability to put together multiple data sources together * Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring and model monitoring * Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models. * Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams) * ML model deployment in production experience is a plus * Technical presentation skills is a plus * Experience working in B2C, marketplace, lending, or subscription oriented business is a plus The anticipated annual base salary for this position is $155,000 - $210,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company at an early stage * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email .

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job DescriptionDescription: About Guideline.ai At Guideline.ai, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Data Scientist, Capital Markets The Capital Markets team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue within the Capital Markets vertical. We are looking for a candidate with a strong command of data analytics and machine learning within the financial vertical and work collaboratively to build products that drive revenue growth. This is a hybrid role, working a few days a week from our office in the Toronto area. Key Responsibilities • Analyze structured and unstructured financial data to generate actionable insights for capital market clients., • Build and maintain predictive models and machine learning algorithms for market trends and KPI forecasts., • Create dashboards and visualizations to communicate insights clearly to both technical and non-technical stakeholders., • Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market., • Partner with product and customer teams to embed insights into solutions that align with customer objectives., • Ensure data integrity, quality, and governance in all analytical work. We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: • Degree in computer science, data analytics or direct experience required, • 3-5 years of experience with building data insight products that are derivatives of data assets, • Proficient in Python coding, data analytics and machine learning, • Forecast modeling capability, • Strong written and oral communication, • Understanding of the financial markets and direct experience a plus, • Knowledge of the Ad/Media buying industry will be an asset

AWS or GCP) and developing machine learning models in a cloud environment. The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. You will contribute to impactful research publications on agents,

The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and developmen

Databricks Machine Learning Associate or Machine Learning Professional Certification. Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. This position is within our decision sciences practice which focuses on delivering solutions via machine learning

Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Stay current with the latest advancements in AI and machine learning and apply these insights to improve existin

Tech Lead Manager, Machine Learning Research Scientist- LLM Evals at Scale AI leads a team of research scientists and research engineers to develop and implement novel evaluation methodologies, metrics, and benchmarks for large language models. Lead a team of research scientists and research enginee

Senior Data Scientist - Machine Learning Data Operations. Senior Data Scientist - Machine Learning Operations. Reporting to the Machine Learning team lead.

Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills,

Job Description AI Program Mentor (remote, part-time, evening hours, $40 per hour) Do you remember that person who made you realize your true potential? The one who championed you while you traversed the path towards academic or professional success. Your mentor. Maybe you had one, or even several, if you were very lucky! Do you want to be that mentor to younger students? Do you have computer science experience and expertise? Are you interested in learning and teaching about AI Gen AI, LLMs? Yes, yes and yes? Great! We have an amazing opportunity for you! SureStart is partnering with the XCL World Academy to host a cutting-edge artificial intelligence-focused curriculum designed for Grade 6 students. The program runs from January through June 2026 and will teach skills related to AI, Gen AI, app development, innovation and entrepreneurship through a virtual program led by mentors. We would love to have YOU as a mentor to help these Grade 6 students learn AI and app development skills while you also get the chance to be trained in MIT's AppInventor platform --- all while getting paid for your efforts. Program Specifics: As a Program Mentor you will coach a group of 6 students over the course of the 5 month program, providing guidance and advice. Location: Virtual (program sessions will be conducted over Zoom or similar platform) Duration: January 6, 2026 through June 8, 2026; mentor training will take place in November 2025 (Exact datesTBD). There will be 16 working weeks in this period and 7 weeks of break. Breaks are Feb 10 - 24, 2025; March 24 - April 7, 2025 and one additional week (TBD). As a mentor, your responsibilities will be to: • Train, support and encourage a small group of six 6th grade students as they develop knowledge of AI/Gen AI, App development, AI ethics, and AI-driven Innovation and Entrepreneurship, using the provided curriculum. Weekly Schedule: • 1 hour attendance to the lead instructor's virtual teaching session on on Monday evening (8:00-9:00pm ET / 5:00-6:00pm PT), • 40-45 minute prep call on Monday evening with mentoring team lead, • 1 hour virtual teaching session on Tuesday evening (8:00-9:00pm ET Jan 6th - March 1st, 7:00 - 8:00 PM ET March 2nd-June 8th) with their student team, • 15 minutes post-student-session virtual debrief (may be 1 hour in the first week), • Passionate about teaching and mentoring younger students; especially invested in mentoring students from backgrounds under-represented in science and technology;, • Currently enrolled or recent graduates from Computer Science, Computer Engineering, or related fields;, • Have current/recent experience with middle school STEM teaching;, • Excellent communication, time-management and teamwork skills;, • Comfortable speaking to small groups in a virtual setting;, • Energetic and enthusiastic, • Able to commit to 5 hours per week from January 6, 2026 through June 8, 2026, • Mandarin fluency very useful to support bilingual students, • Experience with front-end design, app design, and/or UI/UX development;, • Experience with AppInventor, Scratch or other block-based programming, • You will deepen your technical knowledge (look up 'protege effect'), • Work on exciting, challenging and rewarding work critical to the future of ethical AI, • Build up your CV with fantastic leadership and team management experience, • Have the opportunity to attend technical talks, and professional skills seminars, • Valuable networking opportunities with industry leaders in tech and academia Diverse minds building diverse technology is SureStart's mission. We would love to see a wide variety of candidates presenting their unique perspectives, experiences, and skills. We are an equal opportunity employer and highly value diversity. SureStart does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Keywords for this job: AI, GenAI, app development, mobile app development, frontend design, HCI, human computer interaction, UI design, UX design, training, mentorship, MOOC, online training, data science jobs, machine learning jobs, machine vision, affective computing, emotion AI, Natural Language Processing, NLP, internships, interns, co-ops, speech recognition, tts, speech synthesis, image processing, HCI, human computer interaction, Python, Tensorflow, Keras, PyTorch, data scientist. Powered by JazzHR HyKfYDV0ZZ

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! We are looking for a Senior AI Sales Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey This position is based in New York, NY, and open to candidates in Boston, MA, and the Washington, D.C. area. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. Powered by JazzHR e7ARFcG1o6

Job Description This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit. 9iXYRdTL5O

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough