experienced application software engineer

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applied ai lead, enterprise platforms Jobs in Boston

applied ai lead, enterprise platforms

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experienced application software engineer Jobs in Boston

lead software engineer

lead full stack software engineer

Accenture

<div><p><b>Accenture Flex</b> offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.</p><p></p><p>
As an <b>Accenture Flex</b> employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.</p><p></p><p>
You will receive competitive rewards and access to benefits programs and world-class learning resources. <b>Accenture Flex</b> employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Lead through hands‑on Angular coding, actively contributing to development, resolving complex technical issues, and conducting rigorous code reviews.</p></li><li><p>
Act as the primary on-site point of contact for the client, driving clarity on requirements and technical alignment.</p></li><li><p>
Convert business requirements into clear technical designs and actionable tasks for offshore teams.</p></li><li><p>
Coordinate onsite&ndash;offshore execution, drive Agile ceremonies, and ensure on‑time, high‑quality delivery.</p></li><li><p>
Track effort utilization and support accurate invoicing in collaboration with the delivery and finance teams.</p></li></ul></div>
<br>
<div><p><b>Basic Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s degree in computer science, IT, or a related field.</p></li><li><p>
Minimum 8 years of full stack software development experience specifically with Angular and backend technologies such as Node.js or Java.</p></li><li><p>
Minimum 1 year of experience in a Lead role.
</p></li></ul><p></p><p><b>Preferred Qualifications:</b></p><ul><li><p>
Proven track record of delivering enterprise applications in Agile environments with distributed teams.</p></li><li><p>
Experience in client‑facing roles, including requirement discussions, demos, and stakeholder management.</p></li><li><p>
Master&rsquo;s degree in computer science, Engineering, or an equivalent advanced technical qualification.</p></li><li><p>
Familiarity with cloud platforms like Azure and AWS, as well as CI/CD pipelines and DevOps practices.</p></li></ul><p><br>
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted until 05/16/2026.<br>
<br>
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:</p><p></p><p>
Accenture Flex Jobs</p><p><br>
Role Location Annual Salary Range<br>
California $70,350 to $196,000<br>
Cleveland $59,100 to $156,800<br>
Colorado $63,800 to $169,300<br>
District of Columbia $68,000 to $180,300<br>
Illinois $59,100 to $169,300<br>
Maryland $63,800 to $169,300<br>
Massachusetts $63,800 to $180,300<br>
Minnesota $63,800 to $169,300<br>
New York $66,300 to $196,000<br>
New Jersey $68,000 to $196,000<br>
Washington $80,200 to $180,300</p><p></p><p><b>
Requesting an Accommodation</b></p><p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p><p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><p></p><p><b><br>
Equal Employment Opportunity Statement</b></p><p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><p>
For details, view a copy of the Accenture Equal Opportunity Statement</p><p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p><p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><p></p><p><b><br>
Other Employment Statements</b></p><p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p><p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p><p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.</p><p>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p><p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.</p><p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>

Lead Full Stack Software Engineer

DoiT

<div><p><b>Location</b><br>
Our <b>Applied AI Engineer </b>will be an integral part of our global business systems team. This role is based remotely in the US East, the UK, Ireland, Estonia, the Netherlands, Sweden and Israel.</p>
<p><b>
Who We Are</b><br>
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.</p>
<p>
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.</p>
<p>
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work along</p>
<p><b>
The Opportunity</b><br>
We are bringing the &quot;Full Stack Builder&quot; model to DoiT's internal operations. As an Applied AI Engineer, you are a one-person product team embedded directly into a core business function.</p>
<p>
This is not an IT support role. You are not fielding tickets. You have a dedicated product surface - your assigned department - and a clear success metric: measurable process improvement, shipped fast. You will rely on your empathy and judgment to identify the friction, and you will use modern AI tooling to build, code, and deploy the automations end-to-end.</p>
<p>
You live and breathe AI. You automate your own life for fun, you use AI agents as an extension of your own brain, and you get a genuine dopamine hit from taking a slow, manual process and turning it into a seamless, AI-driven workflow.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li><b>Embed &amp; Discover:</b> Audit real workflows in your assigned department. Find the &quot;Human API&quot; moments where smart people are doing robotic work (copy-pasting, manually reconciling data).</li>
<li><b>Provide the &quot;Golden Start&quot;:</b> Build default, pre-configured AI setups for your department teammates. Don't make an accountant figure out how to connect an LLM to NetSuite; build the integration, secure the endpoints, and hand them the keys.</li>
<li><b>Ship Foundational Wins:</b> Build and deploy initial AI-powered automations using DoiT's standard stack (Next.js, TypeScript, Firestore, Cloud Run, and Claude API) to build trust and show what's possible.</li>
<li><b>Educate &amp; Enable:</b> Train your department teammates on the tools you build. Foster their growth so they can start writing their own prompts, configuring their own agents, and automating their own workflows.</li>
<li><b>Measure Outcomes:</b> Track the time and cost savings for every automation shipped in your department. No vanity metrics, just real business outcomes.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li><b>The Solver Mindset:</b> You can research a problem, design a solution, code it, and launch it. You use AI coding assistants heavily to multiply your own output.</li>
<li><b>The AI-Native Builder:</b> You don't just know about AI. You build with it daily. You instinctively reach for tools like Claude Code, Gemini CLI and Codex to multiply your output. You are fluent in modern AI coding environments and autonomous agents like Claude Code.</li>
<li><b>Strong Software Fundamentals: </b>You produce production-quality code, not just brittle scripts.</li>
<li><b>AI Integration Experience:</b> Hands-on experience with LLM APIs, prompt engineering, RAG, MCP, and agent-based architectures.</li>
<li><b>Extreme Empathy:</b> Translating messy, real-world business workflows into clean technical solutions requires deep listening and communication skills. You can speak &quot;Engineering&quot; and business language equally well.</li>
<li><b>Self-Direction:</b> There is no established playbook for this role. You will need to find the work, scope it, build it, and prove it mattered.</li>
</ul>
<p><b>Are you a Do'er?</b><br>
Be your truest self. Work on your terms. Make a difference.</p>
<p>
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.</p>
<p>
What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.</p>
<p>
Sounds too good to be true? Check out our Glassdoor Page.</p>
<p>
We thought so too, but we're here and happy we hit that 'apply' button.</p>
<p>
Full-time employee benefits include:</p>
<ul>
<li>Unlimited Vacation</li>
<li>Flexible Working Options</li>
<li>Health Insurance</li>
<li>Parental Leave</li>
<li>Employee Stock Option Plan</li>
<li>Home Office Allowance</li>
<li>Professional Development Stipend</li>
<li>Peer Recognition Program</li>
</ul>
<p><b>Many Do'ers, One Team</b><br>
DoiT unites as <i>Many Do'ers, One Team</i>, where diversity is more than a goal&mdash;it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.</p>
<p>
#LI-Remote</p></div>

Applied AI Engineer

Nexamp

<div><p>Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp!</p>
<p>
This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world.</p>
<p><b>
What </b><b>we're</b><b> looking for:</b></p>
<p>
We're looking for a Senior Full Stack Software Developer to help us build and optimize tech solutions to accelerate our sustainable energy future. At Nexamp, you'll be part of an engineering squad focused on multiplying the efficiency of how we raise and deploy billions of dollars of capital into low-downtime solar power plants. You'll be the front-end lead on the squad and will drive impact by writing quality code, steering projects from conception to completion, helping refine our processes, and guiding more junior team members. This role will be hybrid, based out of our Boston office, and you will report to your squad's Tech Lead.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Internalize our objectives and deliver measurable change for Nexamp and our customers.</li>
<li>Design, implement, and deploy reliable and efficient production software in our React/Django/Azure stack.</li>
<li>Actively collaborate in sprint planning, execution, code reviews, demos, and retrospectives.</li>
<li>Own design decisions across our React applications and establish and execute scalable patterns, standards, and best practices for the squad.</li>
<li>Guide and inspire more junior developers across the organization through mentorship and collaboration.</li>
<li>Continually seek ways to level-up your own skills and make a bigger impact throughout the company.</li>
</ul>
<p><b>What you'll bring:</b></p>
<ul>
<li>5+ years of full stack software development experience at companies with 10 or more developers.</li>
<li>Experience architecting, building, and deploying consumer-facing frontend applications in React and Typescript.</li>
<li>Experience developing and optimizing web-based solutions in modern Python, ideally using Django, FastAPI, or similar frameworks.</li>
<li>Robust understanding of web standards, infrastructure (databases, storage, caching, content delivery, etc.), and cloud platform offerings.</li>
<li>Effectively communicate and collaborate with users and business stakeholders, facilitating software and process requirements.</li>
<li>Experience leveraging debugging expertise and a proven track record of independently solving problems.</li>
<li>Solid understanding of SQL and relational databases.</li>
<li>Familiarity with version control systems like Git, CI/CD pipelines for automated testing &amp; deployment, and infrastructure tools like Terraform.</li>
<li>Understanding of cutting edge AI tools and a commitment to leveraging them to rapidly deliver high quality software.</li>
<li>Ownership mentality and initiative to make improvements to code, processes, and user experiences across the organization.</li>
<li>Can-do attitude toward architecting right-sized solutions to real-world business problems.</li>
<li>Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.</li>
<li>Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.</li>
<li>Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.</li>
<li>Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.</li>
<li>Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.</li>
<li>Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.</li>
</ul>
<p><b><i>If you don't meet 100% of the above qualifications, but see yourself contributing, please apply.</i></b></p>
<p><b><i>
At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.</i></b></p>
<p><b>
You'll</b><b> love working here because:</b></p>
<p>
Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!</p>
<p><b>
Compensation:</b></p>
<p><i>
The reasonably estimated salary for this role at Nexamp ranges from $160,000 - $170,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company's stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location.</i></p>
<p><i>
Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes.</i></p></div>

Senior Full Stack Software Developer

Motional

<div><h4 class="jobSectionHeader"><b>Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.</b><br>
</h4>
<h4 class="jobSectionHeader"><b>Mission Summary:</b></h4>
<p>
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.</p>
<p>
The Senior Software Engineer, Data Engineering role is a high-impact position focused on building the scalable data infrastructure, developer tools, and cloud platform that underpins the organization's systems-level performance tracking. The mission of the team is to provide robust infrastructure and scalable tooling for producing, processing, and analyzing systems metrics at a massive scale, thereby accelerating the development of safe and reliable autonomous technology. The engineer will be responsible for creating essential components like CLI tools, web apps, cloud infrastructure, and SDKs for the metrics platform. Success in this role requires technical vision, an architectural mindset, and strong communication skills, as the Senior Software Engineer will act as a foundational pillar for the team, authoring design documents, driving engineering best practices, and architecting scalable solutions.</p><br>
<h4 class="jobSectionHeader"><b>
What You'll Be Doing:</b></h4>
<ul><li><b>Design &amp; Architect:</b> Author comprehensive technical design documents to propose, evaluate, and implement scalable infrastructure and tooling solutions.</li>
<li><b>Tooling &amp; SDK Development:</b> Build intuitive internal CLI tools, web applications, and Python-based SDKs leveraging Ray to streamline how engineers produce and interact with systems-level metrics.</li>
<li><b>Cloud Infrastructure:</b> Architect, deploy, and maintain robust cloud infrastructure on AWS to support high-throughput data processing and analytics.</li>
<li><b>Data Pipeline Engineering:</b> Leverage modern data tooling and formats (dbt, Apache Iceberg / Parquet, Redshift) to build highly efficient data pipelines, surfacing data effectively to BI platforms (Looker).</li>
<li><b>CI/CD &amp; Containerization:</b> Champion continuous integration and deployment best practices using GitLab, while deploying scalable services and workloads using containerization technologies.</li>
<li><b>Mentorship &amp; Leadership:</b> Act as a technical pillar on the team. Establish standards, mentor peers, and grow into a technical lead role guiding the future roadmap of our metrics infrastructure.<br>
</li>
</ul><h4 class="jobSectionHeader"><b>What We're Looking For:</b></h4>
<ul><li>5+ years of software engineering experience, with a strong focus on backend, data infrastructure, or platform engineering.</li>
<li>Deep expertise in Python, particularly in building scalable backend systems, SDKs, and CLI tools.</li>
<li>Proven experience working within AWS, data warehouses like Redshift, and open-source data formats like Iceberg and Parquet.</li>
<li>Experience working with DBT for data transformations and interacting with BI platforms like Looker.</li>
<li>Hands-on experience with Ray for scaling Python workloads.</li>
<li>Strong familiarity with containerization (Docker/Kubernetes) and setting up robust CI/CD pipelines via GitLab.</li>
Demonstrated ability to write clear, concise, and thorough technical design documents and lead architecture reviews.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>Bonus Points (not required):</b></h4>
<ul><li>Prior experience working in data engineering pipelines for IoT / telemetry / sensors.</li>
Experience working with autonomous vehicle data.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>Success Metrics:</b></h4>
<ul><li>Successful creation of comprehensive technical design documents for scalable infrastructure solutions.</li>
<li>Development of intuitive internal CLI tools, web apps, and Python-based SDKs.</li>
<li>Deployment and maintenance of robust cloud infrastructure on AWS supporting high-throughput processing.</li>
<li>Establishment of engineering standards and effective mentorship of peers on the team.</li><br>
</ul>
<p>This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!</p><br>
<p><b>
Physical Demands:</b></p>
<p>
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.</p><br>
<p><b>
Travel Requirements (greater than 20%)</b>:</p>
<p>
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.</p><br>
<p><b>
Working Environment:</b></p>
<p>
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.</p>
<p><b>
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.</b></p><div><p><b>
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.</b></p>
<p><b>
Our journey is always people first.</b></p>
<p>
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.</p>
<p><b>
Higher purpose, greater impact.</b></p>
<p>
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
</p><p><b>Scale up, not starting up.</b></p>
<p>
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.</p>
<p>
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.</p>
<p><i>
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.</i></p></div></div>

Senior Software Engineer, Data Engineering

Harvard University

<div></div><div><div><div><div><div><div><b>March 30, 2026
</b></div></div><div><div><div><b>002616SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join Harvard Medical School?</b></p><p>
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.</p><p>
You&rsquo;ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it&rsquo;s an opportunity to shape the future of medicine.</p><p><br>
Job Description</p><p><br>
The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB&rsquo;s mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes.<br>
<br>
Key Responsibilities:</p><ul><li>
Develop, implement, and optimize medical large language models tailored to the needs of medical education and clinical decision support.</li><li>
Collaborate with interdisciplinary teams comprising biologists, clinicians, and data scientists to understand domain-specific requirements and translate them into computational solutions.</li><li>
Stay updated with the latest advancements in deep learning and machine learning to ensure the models developed are state-of-the-art.</li><li>
Develop infrastructures for data transformation and ingestion.</li><li>
Build AI models that make predictions based on large quantities of data.</li><li>
Explain the usefulness of the AI models created to stakeholders.</li><li>
Transform machine learning models into APIs to interact with other applications.</li><li>
Use expert knowledge to lead research AI and data science projects.</li></ul><p></p><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:
</b></p><ul><li>Minimum of seven years&rsquo; post-secondary education or relevant work experience.</li></ul><p><br>
<b>
Additional Qualifications and Skills:
</b></p><ul><li><b>A Master's or PhD in Computer Science, Computational Biology, or a related field is strongly preferred.</b></li><li>
Minimum of 3 years of hands-on experience in developing complex deep learning solutions to tackle scientific challenges.</li><li>
Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages.</li><li>
Experience handling and processing large and diverse datasets, especially medical texts, journals, or electronic health records.</li><li>
Ability to collaborate effectively with non-technical stakeholders, such as doctors and medical researchers.</li><li>
Experience with experiment tracking and project management tools, notably frameworks like Weights &amp; Biases.</li><li>
Prior experience in fine-tuning large language models for specific tasks.</li><li>
Demonstrated experience in optimizing deep learning models for better performance and efficiency.</li><li>
Understanding of biology and/or medicine to bridge the gap between pure machine learning and its applications in the medical field.</li><li>
A track record of publications in technical conferences or journals.</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Standard Hours/Schedule: </b>35 hours per week</li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position.</li><li><b>
Pre-Employment Screening: </b>Identity, Education, Criminal</li><li><b>
Other Information: </b>Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.</li><li><b>
Staying Informed About Your Application:</b> Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.</li></ul><p>
#LI-DK1</p><div></div><p><b>
Work Format Details</b></p><p>
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on <b>Employment Outside of Massachusetts</b>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 060. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Machine Learning Engineer

Zoox

<div><div><p>The Perception team at Zoox creates the &quot;eyes and ears&quot; of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects&mdash;all in real-time and with exceptional accuracy.</p><br>
As an engineer in the Scene Understanding team, you will develop advanced<b> </b>Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.</div>
<h3 class="jobSectionHeader"><b>In this role, you will...</b></h3><div>
<ul>
<li><p>Design and train Vision-Language-Action (VLA) solutions for robotaxis</p>
</li>
<li><p>Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel</p>
</li>
<li><p>Lead the full post-training stack for VLMs and VLAs, including <b>C</b>ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.</p>
</li>
<li><p>Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior</p>
</li>
<li><p>Partner with cross-functional teams to integrate perception signals</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<ul>
<li><p>MS or PhD in Computer Science or related field</p>
</li>
<li><p>Background in deep learning solutions for VLM and VLA models</p>
</li>
<li><p>Track record in post-training large-scale models, CPT, SFT, RL</p>
</li>
<li><p>Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics</p>
</li>
<li><p>Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div>
<ul>
<li><p>Deep knowledge of cutting-edge computer vision techniques</p>
</li>
<li><p>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</p>
</li>
<li><p>Experience with integrating large language models to various tasks.</p>
</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div><b>About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Machine Learning Engineer - Scene Understanding

Coalition Inc.

<div><div><h4 class="jobSectionHeader"><b>About us</b></h4>
<p>
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
</p><p>Opportunities to make an impact with bold thinking are real&mdash;and happening daily at Coalition.</p></div><h4 class="jobSectionHeader"><b>
About the role</b></h4>
<div>
<p>We are looking for a Senior Site Reliability Engineer to join our Platform SRE team. In this role, you will build and operate the infrastructure, tools, and &quot;paved roads&quot; that empower our developers to deliver scalable, secure, and reliable software with speed and confidence.</p>
<p>
You'll work across the entire stack&mdash;from infrastructure automation and observability to developer enablement and system reliability. You will be a key collaborator with software engineering and security teams, helping to evolve our Infrastructure as Code (IaC), enhance CI/CD pipelines, and scale our internal developer platform. We value pragmatism and engineering excellence, primarily using Python, Go, and AWS to reduce toil and build self-service capabilities.</p>
</div>
<h4 class="jobSectionHeader"><b>Responsibilities</b></h4>
<ul><li>Infrastructure Automation: Design, build, and scale production environments using AWS and Terraform, driving architectural decisions that improve long-term maintainability and reliability.</li>
<li>System Reliability: Lead efforts to improve platform resilience through failure-based testing, automated recovery strategies, and proactive capacity planning.</li>
<li>Developer Enablement: Own the design and delivery of reusable platform components and self-service tools that streamline the developer experience and reduce cross-team toil.</li>
<li>Observability: Define and evolve observability standards across the platform, including system metrics, distributed tracing, and SLO frameworks.</li>
<li>Project Ownership: Own projects end to end&mdash;from initial scoping and effort estimation through detailed planning, execution, and successful rollout.</li>
<li>Mentorship &amp; Standards: Mentor engineers across the team, uphold high infrastructure quality, and actively shape the best practices and standards used by the organization.</li>
<li>Collaboration: Engage in technical design discussions, providing guidance and feedback while adapting strategies based on team input and evolving requirements.</li>
</ul><h4 class="jobSectionHeader"><b>Skills and Qualifications</b></h4>
<ul><li>6+ years of experience in SRE, DevOps, Cloud Engineering, or Software Development roles</li>
<li>Hands-on experience operating production environments in AWS</li>
<li>Proficiency in Go or Python, with experience building production-grade automation, tooling or libraries</li>
<li>Strong experience with Terraform</li>
<li>Experience with container orchestration platforms like ECS or Kubernetes</li>
<li>Familiarity with CI/CD tools such as GitHub Actions</li>
<li>Experience designing and implementing re-usable platform components based on team requirements</li>
<li>Solid understanding of observability practices including system metrics, distributed tracing, and SLOs</li>
<li>Exposure to failure-based testing approaches and automated recovery strategies</li>
<li>Strong leadership and communication skills, both written and verbal</li>
<li>Experience evangelizing reliability best practices</li>
</ul><h4 class="jobSectionHeader"><b>Bonus Points</b></h4>
<ul><li>Experience with microservices architectures</li>
<li>Exposure to Kafka or other event streaming systems</li>
<li>Experience building internal developer platforms or self-service infrastructure</li>
<li>Familiarity with systems security, compliance requirements, or hardening practices</li>
</ul><h4 class="jobSectionHeader"><b>Compensation</b></h4>
<p>
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $150,000/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.</p>
<h4 class="jobSectionHeader"><b>
Perks</b></h4>
<ul><li>100% medical, dental and vision coverage</li>
<li>Flexible PTO policy</li>
<li>Annual home office stipend and WeWork access</li>
<li>Mental &amp; physical health wellness programs (One Medical, Headspace, Wellhub, and more)!</li>
<li>Competitive compensation and opportunity for advancement</li>
</ul><div><h4 class="jobSectionHeader"><b>Why Coalition?</b></h4>
<p>
Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition's exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.</p>
<p>
We're always looking for collaborative, inquisitive individuals to join #OurCoalition.</p>
<p>
Visit our Newsroom &gt;</p>
<h4 class="jobSectionHeader"><b>
Privacy Notice</b></h4>
<p>
Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.</p>
<p>
Our Privacy Policy &gt;</p>
<h4 class="jobSectionHeader"><b>
Safe Hiring Notice</b></h4>
<p>
All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you've been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC).</p>
<h4 class="jobSectionHeader"><b>
Anti-Discrimination Notice</b></h4>
<p>
Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.</p>
<h4 class="jobSectionHeader"><b>
Accommodations</b></h4>
<p>
Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.</p>
<p><b>
To all recruitment agencies:</b> Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.</p></div></div>

Senior Site Reliability Engineer

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